Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: SIEM/Incident SME (Need Active DV Clearance) Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months Role Description: Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
17/05/2024
Project-based
We are Global IT Recruitment specialist that provides support to the clients across UK, Europe and Australia. We have an excellent job opportunity for you. Role Title: SIEM/Incident SME (Need Active DV Clearance) Location: Hybrid onsite in one of the following locations 2/3 days per week - Corsham, Portsmouth or Northallerton Duration: 6 months Role Description: Main Tech Skills required are ELK (Elastic, Logstash, Kibana) and Tanium The Cyber role is to join a growing security team responsible for designing, delivering and maintaining operational cybersecurity capabilities. Conducting pro-active, risk-based, protective monitoring on priority C4IS/networks to identify internal and external cyber-threats/attacks. This position involves a broad range of skills, including the development and mentoring of Junior Analysts, monitoring networks to actively remediate unauthorised activities. Your role Develop and integrate security event monitoring and incident management services. Respond to security incidents as they occur as part of an incident response team. Implement metrics and dashboards to give visibility of the Enterprise infrastructure. Use of the SOAR platform to assist with playbook automation and case management capabilities to streamline team processes and tools. Produce documentation to ensure the repeatability and standardisation of security operating procedures. Develop additional investigative methods using the SOC's software toolsets to enhance recognition opportunities for specific analysis. Maintain a baseline of system security according to latest threat intelligence and evolving trends. Participate in root cause analysis of incidents in conjunction with engineers across the enterprise. Provide Subject Matter Expertise (SME) on a broad range of information security standards and best practices. Offer strategic and tactical security guidance including valuation requirement of technical controls. Be part of the CRM process Liaise with the SOC engineers to maintain up-to-date dashboards of security alerts, to allow the organisation to better respond to an incident. Document, validate and create operational processes and procedures to help develop the SOC. Assist in identifying, prioritising, and coordinating the protection of critical cyber defence infrastructure and key resources. Build, install, configure, and test dedicated cyber defence hardware. Support Junior Analysts to manage SOC systems. Previous experience of Enterprise ICS/network architectures and technologies Experience and knowledge of SIEM solutions; having the ability to identify use cases and their creation, their deployment and tuning. Experience as a mentor/coach to Junior Analysts Your profile Previous experience of utilising the MITRE ATT&CK and Cyber Kill Chain frameworks Skilled in maintaining Microsoft directory services. Skilled in using virtualisation software. Knowledge of key security frameworks (eg ISO, NIST 800-53, 800-171, 800-172, C2M2) Excellent communication skills Experience of writing Defence/Government documentation Desirable Qualifications: Broad Spectrum Cyber Course (SANS SEC401 or SEC501 or equivalent) SIEM Design, Architecture and Analyst Course (SANS SEC455 or SEC555 or equivalent) Advanced Analyst Course (SANS SEC503 or equivalent)
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
I am working with a well-known software consultancy in Edinburgh who are looking to recruit a Digital Transformation Consultant for their Edinburgh or Bristol office . The company: They are a thriving software company, focused on Digital Transformation and cloud consultancy. Their head office is in Edinburgh, and they have a wide-ranging list of clients from private, to government to public sector. They focus on designing and building software cloud solutions and digital transformation across some huge organisations and this is a pivotal role for them. They are hiring due to an internal restructure and this role will be reporting directly into the company's Managing Director. In relation to where you will work, this will be a combination of home based (majority) and some office working. Ideally, you could get into the Edinburgh office at the Gyle roughly twice a week, as you will be a senior figure and your presence will be of great benefit to the team. However, this role is working with a client down in Bristol, so you will likely visit them once a month. The role could also be based near Bristol, working remotely and close to the client. The role: In this role, you will lead the delivery of complex clients and programmes and will be a key member of the business. You will lead large-scale delivery with a focus on achieving client outcomes, developing senior client relationships (at the C-suite level) and doing this through effective delivery leadership. Your key responsibilities will include but are not limited to: * Leading a multi-disciplined team to drive highest levels of customer satisfaction * Leading on the implementation of the company strategy across one main client * Representing the business across the organisation, in front of clients and prospective clients * Maximising the return on sales and identifying opportunities * Lead on the development of the capability across Project Management, Architecture, Cloud and Software Development This is a client-facing role which combines strong leadership attributes working across all dimensions of the consultancy life cycle, including pre-sales, commercial, relationships, technology, delivery and people. Your background: * Previous experience working in a software/technology consultancy or large end-user * Background in a Senior Software Delivery role, working with large-scale clients and organisations * Strong appreciation of modern software engineering and associated development technologies and the full software development life cycle * Background in leading the delivery of large-scale, complex technology projects for clients, or lead a portfolio of client engagements * Ability to develop and maintain senior client/partner relationships * Contribute to the development of innovative propositions, ways of working and other thought leadership collateral This is an opportunity to work with a thriving and employee-first organisation. You will get to work with some huge organisations whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
17/05/2024
Full time
I am working with a well-known software consultancy in Edinburgh who are looking to recruit a Digital Transformation Consultant for their Edinburgh or Bristol office . The company: They are a thriving software company, focused on Digital Transformation and cloud consultancy. Their head office is in Edinburgh, and they have a wide-ranging list of clients from private, to government to public sector. They focus on designing and building software cloud solutions and digital transformation across some huge organisations and this is a pivotal role for them. They are hiring due to an internal restructure and this role will be reporting directly into the company's Managing Director. In relation to where you will work, this will be a combination of home based (majority) and some office working. Ideally, you could get into the Edinburgh office at the Gyle roughly twice a week, as you will be a senior figure and your presence will be of great benefit to the team. However, this role is working with a client down in Bristol, so you will likely visit them once a month. The role could also be based near Bristol, working remotely and close to the client. The role: In this role, you will lead the delivery of complex clients and programmes and will be a key member of the business. You will lead large-scale delivery with a focus on achieving client outcomes, developing senior client relationships (at the C-suite level) and doing this through effective delivery leadership. Your key responsibilities will include but are not limited to: * Leading a multi-disciplined team to drive highest levels of customer satisfaction * Leading on the implementation of the company strategy across one main client * Representing the business across the organisation, in front of clients and prospective clients * Maximising the return on sales and identifying opportunities * Lead on the development of the capability across Project Management, Architecture, Cloud and Software Development This is a client-facing role which combines strong leadership attributes working across all dimensions of the consultancy life cycle, including pre-sales, commercial, relationships, technology, delivery and people. Your background: * Previous experience working in a software/technology consultancy or large end-user * Background in a Senior Software Delivery role, working with large-scale clients and organisations * Strong appreciation of modern software engineering and associated development technologies and the full software development life cycle * Background in leading the delivery of large-scale, complex technology projects for clients, or lead a portfolio of client engagements * Ability to develop and maintain senior client/partner relationships * Contribute to the development of innovative propositions, ways of working and other thought leadership collateral This is an opportunity to work with a thriving and employee-first organisation. You will get to work with some huge organisations whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
An industry-leading building services consultancy is seeking an Associate Director to join their dynamic Electrical Engineering team in Glasgow. This is an exciting opportunity for an experienced and ambitious individual to take on a leadership role and contribute to the growth and success of the company. Roles and Responsibilities: Lead and manage a team of electrical engineers, providing technical guidance and mentorship Oversee the delivery of high-quality electrical designs across a diverse project portfolio Develop and maintain strong client relationships, ensuring client satisfaction and generating repeat business Contribute to the development and implementation of the company's strategic objectives Identify and pursue new business opportunities, collaborating with other disciplines and offices Ensure compliance with quality standards, health and safety regulations, and company policies Manage project budgets, resources, and timelines, ensuring profitable project delivery Represent the company at industry events, conferences, and client meetings Drive innovation and continuous improvement within the electrical engineering team Requirements: Chartered Engineer status with a relevant professional body (eg, CIBSE, IET) Proven track record of leading and managing electrical engineering teams in a consultancy environment Extensive experience in electrical building services design across a range of sectors Strong technical knowledge and understanding of current industry standards and regulations Excellent leadership, communication, and interpersonal skills Ability to develop and maintain client relationships at a senior level Commercial acumen and understanding of financial management principles Commitment to professional development and knowledge sharing Proficiency in relevant design software and tools Benefits: Highly competitive salary, commensurate with experience and qualifications Comprehensive benefits package, including private healthcare, pension, and generous annual leave Opportunities for career progression and professional development within a growing company Exposure to high-profile, innovative projects across various sectors Collaborative and supportive work environment with a focus on work-life balance Flexible working arrangements, including option for hybrid working and flexible hours Company support for professional memberships and ongoing training Opportunities to contribute to the company's corporate social responsibility initiatives
17/05/2024
Full time
An industry-leading building services consultancy is seeking an Associate Director to join their dynamic Electrical Engineering team in Glasgow. This is an exciting opportunity for an experienced and ambitious individual to take on a leadership role and contribute to the growth and success of the company. Roles and Responsibilities: Lead and manage a team of electrical engineers, providing technical guidance and mentorship Oversee the delivery of high-quality electrical designs across a diverse project portfolio Develop and maintain strong client relationships, ensuring client satisfaction and generating repeat business Contribute to the development and implementation of the company's strategic objectives Identify and pursue new business opportunities, collaborating with other disciplines and offices Ensure compliance with quality standards, health and safety regulations, and company policies Manage project budgets, resources, and timelines, ensuring profitable project delivery Represent the company at industry events, conferences, and client meetings Drive innovation and continuous improvement within the electrical engineering team Requirements: Chartered Engineer status with a relevant professional body (eg, CIBSE, IET) Proven track record of leading and managing electrical engineering teams in a consultancy environment Extensive experience in electrical building services design across a range of sectors Strong technical knowledge and understanding of current industry standards and regulations Excellent leadership, communication, and interpersonal skills Ability to develop and maintain client relationships at a senior level Commercial acumen and understanding of financial management principles Commitment to professional development and knowledge sharing Proficiency in relevant design software and tools Benefits: Highly competitive salary, commensurate with experience and qualifications Comprehensive benefits package, including private healthcare, pension, and generous annual leave Opportunities for career progression and professional development within a growing company Exposure to high-profile, innovative projects across various sectors Collaborative and supportive work environment with a focus on work-life balance Flexible working arrangements, including option for hybrid working and flexible hours Company support for professional memberships and ongoing training Opportunities to contribute to the company's corporate social responsibility initiatives
Data Protection Lawyer A leading tech company are looking for a Data Protection Lawyer to join their team on a permanent basis. This will be hybrid working in Peterborough/remote (10 days per month in the office) You will report to the Associate Director Legal Regulatory within the Risk Compliance and Legal team, you will be required to provide data protection legal advice and support across the business at all levels on a wide range of exciting initiatives to help deliver the business objectives. In addition, you'll play a leading role in the management and development of the Legal Regulatory team which includes the Data Protection Office. What will it take? . 5+ PQE lawyer with strong technical data protection and ePrivacy experience gained in-house or in a reputable business . Experience in providing data protection advice and guidance in relation to some or all of the following: - Advising on the data protection aspects and risks of new product development - ePrivacy/digital marketing - Data transfers (including international) - Data protection impact assessments - Personal data security breaches and subsequent remediation - Implementing data protection policies and procedures, including training - Subject rights requests . Up to date with emerging data protection and privacy regulation, case law and regulatory guidance . Good communication skills, and particularly able to communicate legal issues in plain English.
16/05/2024
Full time
Data Protection Lawyer A leading tech company are looking for a Data Protection Lawyer to join their team on a permanent basis. This will be hybrid working in Peterborough/remote (10 days per month in the office) You will report to the Associate Director Legal Regulatory within the Risk Compliance and Legal team, you will be required to provide data protection legal advice and support across the business at all levels on a wide range of exciting initiatives to help deliver the business objectives. In addition, you'll play a leading role in the management and development of the Legal Regulatory team which includes the Data Protection Office. What will it take? . 5+ PQE lawyer with strong technical data protection and ePrivacy experience gained in-house or in a reputable business . Experience in providing data protection advice and guidance in relation to some or all of the following: - Advising on the data protection aspects and risks of new product development - ePrivacy/digital marketing - Data transfers (including international) - Data protection impact assessments - Personal data security breaches and subsequent remediation - Implementing data protection policies and procedures, including training - Subject rights requests . Up to date with emerging data protection and privacy regulation, case law and regulatory guidance . Good communication skills, and particularly able to communicate legal issues in plain English.
Our Client South West based, Our Client is a highly respected architectural metal-work and bespoke steel fabrication specialist. Working across the region, they provide high quality products and services to main contractors, developers, and private clients. Estimator A unique and exciting opportunity has arisen to join their sales and estimating team. You will have experience as an estimator having worked in the metalwork or associated construction industry trade for a minimum of 3 years. Role description: Reporting to the Sales & Estimating Director, you will be working in their busy estimating and sales office producing accurate quotations and negotiating tenders with clients. You will also be working closely with the contracts and design department at both pre-submission and post Order stage. Responsibilities include: Estimating architectural metalwork, secondary steelwork & structural steel Reading architects and engineers drawings Material takes off's and tender summaries Obtaining supplier quotations and negotiating Preparing quotations to meet deadlines Drafting detailed quotations Liaising with clients to discuss the tender submissions Sales follow ups of Quotations Attending client meetings and occasional site visits Working with other departments The right candidate will have the following: Understanding of metalwork or associated trade Background in construction industry or manufacturing Good IT skills Excellent communicator Ably to work well in a team and with good people skills Ably to work on own initiative and self-motivated Good planning and organisational skills Positive attitude to work with attention to detail Flexible approach and able to prioritise tasks You may also have experience as a QS or sales negotiating Salary Depending on experience Company Pension Scheme Free Parking
16/05/2024
Full time
Our Client South West based, Our Client is a highly respected architectural metal-work and bespoke steel fabrication specialist. Working across the region, they provide high quality products and services to main contractors, developers, and private clients. Estimator A unique and exciting opportunity has arisen to join their sales and estimating team. You will have experience as an estimator having worked in the metalwork or associated construction industry trade for a minimum of 3 years. Role description: Reporting to the Sales & Estimating Director, you will be working in their busy estimating and sales office producing accurate quotations and negotiating tenders with clients. You will also be working closely with the contracts and design department at both pre-submission and post Order stage. Responsibilities include: Estimating architectural metalwork, secondary steelwork & structural steel Reading architects and engineers drawings Material takes off's and tender summaries Obtaining supplier quotations and negotiating Preparing quotations to meet deadlines Drafting detailed quotations Liaising with clients to discuss the tender submissions Sales follow ups of Quotations Attending client meetings and occasional site visits Working with other departments The right candidate will have the following: Understanding of metalwork or associated trade Background in construction industry or manufacturing Good IT skills Excellent communicator Ably to work well in a team and with good people skills Ably to work on own initiative and self-motivated Good planning and organisational skills Positive attitude to work with attention to detail Flexible approach and able to prioritise tasks You may also have experience as a QS or sales negotiating Salary Depending on experience Company Pension Scheme Free Parking
Infrastructure Engineer - Yorkshire (Hybrid Role) - £40-45K An exciting opportunity to join a busy Infrastructure Team working a range of infrastructure & security disciplines, delivering Business-as-Usual support to all of our IT Infrastructure. The Infrastructure team supports across the business, providing customer service to our practices, who employ more than 8500 colleagues. Support teams react quickly and positively to incoming incidents, determining whether issues can be resolved internally, or need escalation - which you will then own, as the recipient of more technical queries. What the role involves Owning escalations as the subject matter expert for BAU tickets escalated from 1st/2nd line teams. Resolving complex tickets across all hardware & software platforms at a 3rd line level. Manage & maintain the various tool sets and solutions around security/mail hygiene/backups. Manage 3rd party vendors to drive fault resolution and change on software/hardware issues. Manage multiple managed service providers to drive fault resolution and change on hardware/software/cloud solutions. Documenting fixes - you will enjoy building a Knowledge Base to share between colleagues. Provide Infrastructure Support to the project team. Proactive monitoring & maintenance of infrastructure estate. React to security alerts highlighted to VP from infosec toolsets, respond to output from penetration tests to Remedy vulnerabilities. Ensure that build baselines are tested for reliability, functionality, and security. Required Skills: Technical background, with experience of ensuring the lights are on. Public cloud - Microsoft Azure & associated bastions, Kubernetes, Application Gateways, Express Routes, and Traffic Managers. Strong O365, Teams, Exchange online, PowerShell experience. Strong VMware and Hyper-V knowledge from basic build to advanced high availability clustering. Detailed & proven understanding of physical server hardware components and configuration with strong fault diagnostic capabilities, these need to include RAID config and planning workload placement on storage arrays. Understanding of WAN, SDWAN, MPLS, FTTp/c, Routers, Switches and Firewalls. Detailed understanding of TCP/IP, IP routing protocols (BGP and OSPF). Detailed & working knowledge of Microsoft Server operating systems, Active Directory and components, including INTUNE, group policy and WSUS. Confident in communicating with management and colleagues alike, whilst being diplomatic and professionally focused. Infrastructure Engineer - Yorkshire - £40-45K
16/05/2024
Full time
Infrastructure Engineer - Yorkshire (Hybrid Role) - £40-45K An exciting opportunity to join a busy Infrastructure Team working a range of infrastructure & security disciplines, delivering Business-as-Usual support to all of our IT Infrastructure. The Infrastructure team supports across the business, providing customer service to our practices, who employ more than 8500 colleagues. Support teams react quickly and positively to incoming incidents, determining whether issues can be resolved internally, or need escalation - which you will then own, as the recipient of more technical queries. What the role involves Owning escalations as the subject matter expert for BAU tickets escalated from 1st/2nd line teams. Resolving complex tickets across all hardware & software platforms at a 3rd line level. Manage & maintain the various tool sets and solutions around security/mail hygiene/backups. Manage 3rd party vendors to drive fault resolution and change on software/hardware issues. Manage multiple managed service providers to drive fault resolution and change on hardware/software/cloud solutions. Documenting fixes - you will enjoy building a Knowledge Base to share between colleagues. Provide Infrastructure Support to the project team. Proactive monitoring & maintenance of infrastructure estate. React to security alerts highlighted to VP from infosec toolsets, respond to output from penetration tests to Remedy vulnerabilities. Ensure that build baselines are tested for reliability, functionality, and security. Required Skills: Technical background, with experience of ensuring the lights are on. Public cloud - Microsoft Azure & associated bastions, Kubernetes, Application Gateways, Express Routes, and Traffic Managers. Strong O365, Teams, Exchange online, PowerShell experience. Strong VMware and Hyper-V knowledge from basic build to advanced high availability clustering. Detailed & proven understanding of physical server hardware components and configuration with strong fault diagnostic capabilities, these need to include RAID config and planning workload placement on storage arrays. Understanding of WAN, SDWAN, MPLS, FTTp/c, Routers, Switches and Firewalls. Detailed understanding of TCP/IP, IP routing protocols (BGP and OSPF). Detailed & working knowledge of Microsoft Server operating systems, Active Directory and components, including INTUNE, group policy and WSUS. Confident in communicating with management and colleagues alike, whilst being diplomatic and professionally focused. Infrastructure Engineer - Yorkshire - £40-45K
Role: Senior RAM S Engineer Job Description Summary We are seeking a highly motivated and experienced Senior RAM Engineer to join our global team of experts in high voltage electrical equipment, with a particular focus on HVDC systems. As the Senior RAM Engineer, you will be responsible for coordinating, creating, verifying, and validating the reliability, availability, and maintainability models for HVDC systems and subsystems, managing risks and opportunities that affect the systems throughout their life cycle. You will also play a key role in enforcing engineering discipline and quality processes, developing and industrializing engineering solutions, promoting health and safety practices, and providing technical leadership and training to customers and colleagues Job Description Essential Responsibilities Reliability, Availability and Maintainability Studies and Management (RAMS) Defining RAMS study structure and processes; Monitoring the performance of RAMS processes; Tracking and reporting to the Project Directorate the status of the action list; Participating in cross functional Gate Reviews and present RAMS dashboard; Chairing the 3D Model Review for Maintainability; Leading the engagement with OEMs and relevant interface control documents; Leading the engagement, the Logistics Interface; Leading Maintainability deliverables and Consultant; Leading Workshop Consultants. Escalating to the GSC Technical Director and SHE Coordinator all SHE related risks. Health and Safety Actively and routinely promote the identification of hazards and EHS risks in own area of operation and objects of design. Provide insight to leaders, customers and colleagues with respect to own safety and systems and product integrity. Qualifications/Requirements Bachelor of Engineering degree or equivalent from an accredited institution Proven substantial knowledge and practical experience in performing reliability engineering in different industries Desired Characteristics Education Preferably educated with a Master of Engineering degree or above from an accredited institution or equivalent knowledge or professional experience. Technical Domain Competencies At least proficient in the following areas: HVDC domain knowledge Reliability, availability and maintainability (RAM) assessment and management Reliability Block Diagrams (RBD Failure Mode & Effects Analysis (FMEA) Knowledgeable in the following areas: Reliability Centred Maintenance Systems Engineering HazId HazOp Electrical power systems modelling and analysis Offshore electrical power facilities Engineering Management Competencies: Planning: Ability to plan and manage team work. Risk and Opportunity Management: Proactively identifies and manages risks, issues and opportunities. Acquisition and Supply: Generation of work products associated with acquiring or providing products or services. Knowledge Management: capable of deploying training, coaching and mentoring to customers and colleagues. Proactively records and disseminates return of experience. Technical Domain Tools knowledge: Proficient use of: Reliability and availability assessment modelling by Markov and Monte Carlo methods (Reliasoft, Isograph); Professional Competencies Communications: Strong oral and written communication skills in English. Critical Thinking: Capable of structuring defendable arguments, evidence, assumptions and decisions. Ethics and Professionalism: Personal commitment to professional standards, recognising obligations to society, the profession and the environment. Technical Leadership: understanding of customer need, problem solving, creativity and innovation, relationship management, operational oversight and accountability, engineering instinct. Negotiation: capable of resolving points of difference, to gain advantage for an individual or collective, or crafting outcomes to satisfy various interests. Team Dynamics and Facilitation: Ability to be a team player and to facilitate groups interactions. Characteristic: Self-motivating, proactive and results driven approach. Curious, resilient and willing to learn. Able to work to deadlines with high quality, sense of urgency and delivery. Focused on delivering value to customers. Strong problem-solving and root cause identification skills. Willingness to travel as required.
16/05/2024
Project-based
Role: Senior RAM S Engineer Job Description Summary We are seeking a highly motivated and experienced Senior RAM Engineer to join our global team of experts in high voltage electrical equipment, with a particular focus on HVDC systems. As the Senior RAM Engineer, you will be responsible for coordinating, creating, verifying, and validating the reliability, availability, and maintainability models for HVDC systems and subsystems, managing risks and opportunities that affect the systems throughout their life cycle. You will also play a key role in enforcing engineering discipline and quality processes, developing and industrializing engineering solutions, promoting health and safety practices, and providing technical leadership and training to customers and colleagues Job Description Essential Responsibilities Reliability, Availability and Maintainability Studies and Management (RAMS) Defining RAMS study structure and processes; Monitoring the performance of RAMS processes; Tracking and reporting to the Project Directorate the status of the action list; Participating in cross functional Gate Reviews and present RAMS dashboard; Chairing the 3D Model Review for Maintainability; Leading the engagement with OEMs and relevant interface control documents; Leading the engagement, the Logistics Interface; Leading Maintainability deliverables and Consultant; Leading Workshop Consultants. Escalating to the GSC Technical Director and SHE Coordinator all SHE related risks. Health and Safety Actively and routinely promote the identification of hazards and EHS risks in own area of operation and objects of design. Provide insight to leaders, customers and colleagues with respect to own safety and systems and product integrity. Qualifications/Requirements Bachelor of Engineering degree or equivalent from an accredited institution Proven substantial knowledge and practical experience in performing reliability engineering in different industries Desired Characteristics Education Preferably educated with a Master of Engineering degree or above from an accredited institution or equivalent knowledge or professional experience. Technical Domain Competencies At least proficient in the following areas: HVDC domain knowledge Reliability, availability and maintainability (RAM) assessment and management Reliability Block Diagrams (RBD Failure Mode & Effects Analysis (FMEA) Knowledgeable in the following areas: Reliability Centred Maintenance Systems Engineering HazId HazOp Electrical power systems modelling and analysis Offshore electrical power facilities Engineering Management Competencies: Planning: Ability to plan and manage team work. Risk and Opportunity Management: Proactively identifies and manages risks, issues and opportunities. Acquisition and Supply: Generation of work products associated with acquiring or providing products or services. Knowledge Management: capable of deploying training, coaching and mentoring to customers and colleagues. Proactively records and disseminates return of experience. Technical Domain Tools knowledge: Proficient use of: Reliability and availability assessment modelling by Markov and Monte Carlo methods (Reliasoft, Isograph); Professional Competencies Communications: Strong oral and written communication skills in English. Critical Thinking: Capable of structuring defendable arguments, evidence, assumptions and decisions. Ethics and Professionalism: Personal commitment to professional standards, recognising obligations to society, the profession and the environment. Technical Leadership: understanding of customer need, problem solving, creativity and innovation, relationship management, operational oversight and accountability, engineering instinct. Negotiation: capable of resolving points of difference, to gain advantage for an individual or collective, or crafting outcomes to satisfy various interests. Team Dynamics and Facilitation: Ability to be a team player and to facilitate groups interactions. Characteristic: Self-motivating, proactive and results driven approach. Curious, resilient and willing to learn. Able to work to deadlines with high quality, sense of urgency and delivery. Focused on delivering value to customers. Strong problem-solving and root cause identification skills. Willingness to travel as required.
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Job title: Senior Desktop Engineer Salary: £30,000 - £33,000 Location: Ipswich This is a Full time permanent position working 37.5-hours per week, Monday - Friday 09:00 - 17:15. The successful candidate must be willing to undergo the client's security clearance process. Responsibilities: * Fully site-based * Able to deal directly with clients in a friendly and highly confident manner * Troubleshooting known and unknown hardware/software issues related to desktop, laptops, workstations, peripherals, and associated accessories * Experienced with VIP support and engagement * Troubleshooting known and unknown software issues related to Windows platforms * Building and deploying PCs, patch network points, troubleshooting printer problems, supporting standard software packages, and other general "IT" tasks * Providing 'Hands and Eyes' support to other teams * Processing documentation and knowledge base article management * Using the onsite call management system to update calls and close calls to specific SLAs * Perform stock control & asset management - ensuring the desktops and laptops are correctly added to the database and the status updated when applicable Essential skills/qualifications: * Knowledge of current and past Microsoft windows operating systems * Knowledge and experience with Microsoft 365 (Word, Excel, PowerPoint, Outlook, OneDrive, Intune etc) * Experience in Windows imaging techniques (Network & Local) * Microsoft Active Directory & Azure Active Directory knowledge * Remote desktop support tools * Desktop/printer configurations * Excellent interpersonal & communication skills * Must be able to work independently and part of a team. * Experience and technical knowledge of IT, PC's/peripherals, and their architecture * Break fix, IMACs, Incidents, Projects * Experience with Ticket Management * Comfortable with liaising and working alongside 3rd Parties * Display flexibility and the ability to manage your day effectively Desirable skills/qualifications: * ITIL Foundation * 3 - 4 years experience supporting Windows environment * Windows certification As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advice covering a range of areas including mental health and financial support if you have the skills required apply now "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
15/05/2024
Full time
Job title: Senior Desktop Engineer Salary: £30,000 - £33,000 Location: Ipswich This is a Full time permanent position working 37.5-hours per week, Monday - Friday 09:00 - 17:15. The successful candidate must be willing to undergo the client's security clearance process. Responsibilities: * Fully site-based * Able to deal directly with clients in a friendly and highly confident manner * Troubleshooting known and unknown hardware/software issues related to desktop, laptops, workstations, peripherals, and associated accessories * Experienced with VIP support and engagement * Troubleshooting known and unknown software issues related to Windows platforms * Building and deploying PCs, patch network points, troubleshooting printer problems, supporting standard software packages, and other general "IT" tasks * Providing 'Hands and Eyes' support to other teams * Processing documentation and knowledge base article management * Using the onsite call management system to update calls and close calls to specific SLAs * Perform stock control & asset management - ensuring the desktops and laptops are correctly added to the database and the status updated when applicable Essential skills/qualifications: * Knowledge of current and past Microsoft windows operating systems * Knowledge and experience with Microsoft 365 (Word, Excel, PowerPoint, Outlook, OneDrive, Intune etc) * Experience in Windows imaging techniques (Network & Local) * Microsoft Active Directory & Azure Active Directory knowledge * Remote desktop support tools * Desktop/printer configurations * Excellent interpersonal & communication skills * Must be able to work independently and part of a team. * Experience and technical knowledge of IT, PC's/peripherals, and their architecture * Break fix, IMACs, Incidents, Projects * Experience with Ticket Management * Comfortable with liaising and working alongside 3rd Parties * Display flexibility and the ability to manage your day effectively Desirable skills/qualifications: * ITIL Foundation * 3 - 4 years experience supporting Windows environment * Windows certification As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advice covering a range of areas including mental health and financial support if you have the skills required apply now "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
Kalcor Coatings Company is seeking a CHEMIST for its location in Willoughby, OH. Started in 1961, Kalcor Coatings Company is A Right Size Company designing and manufacturing customized coatings and paint products to meet our customers' specific needs. Our primary goal is to be a successful developer/producer/marketer of high-performance coatings with a deserved reputation for integrity, responsibility, and competence in its treatment of employees, customers, suppliers, community and the public at large. Responsibilities Reporting to the Technical Director, this position has the following responsibilities: Perform specialized and advanced analyses, testing, and formulation of new and existing coating products and requirements. Perform small batch/sample manufacture, color matching, and testing. Assist in developing and specifying processes for coatings scale-up and manufacture. Evaluate new and existing raw materials for product improvement, availability, and/or cost benefits. Prepare reports and documents detailing project design, results, and conclusions; recommend additional actions or research. Support existing product lines via internal and external customer interaction, including technical service visits. Coordinate all regulatory and related environmental activities for Kalcor products and facility compliance in conjunction with the Technical Director. Perform daily housekeeping of laboratory and associated areas, functioning within safety guidelines. Qualifications Bachelor's degree in chemistry or a technical discipline (science or engineering). 5+ years of experience in a paint, coatings, or chemical laboratory, including formulation experience. Will consider a combination of experience and education. Broad range of formulation experience, including UV, waterborne, and solvent borne. Experience with 2K component a plus. Familiarity with design of experiment approach (DOE) and the ability to design, document, report, interpret and present findings as well as design follow-up experiments. Strong written and oral communication skills, including the ability to effectively present information to a variety of people (ie customers, public groups, top management, and boards of directors). Ability to operate, maintain, and calibrate a variety of specialized test and lab equipment, including color spectrophotometer. Working knowledge of MS Office (Word, Excel, PowerPoint, Outlook) and prior experience with formulation/processing software, color analysis and matching programs, or willingness and ability to learn. Exceptional mathematical, problem solving, documentation and organizational skills. Strong attention to detail and accuracy. Willingness and ability to travel to customer locations as needed. Valid driver's license and ability to be insured through the company's insurer. Candidates must be able to pass a color test, regularly lift and/or move up to 60 pounds, wear a fitted respirator and dust mask, and tolerate solvent odors and other chemicals used within the facility. Kalcor is a smoke-free, tobacco-free and vaping-free facility. If you are looking for a work environment that expects high quality work, professional conduct and respectful consideration for customers and coworkers alike, and you possess the skills and competencies for the Chemist position, we would like to hear from you! Equal Opportunity Employer
14/05/2024
Full time
Kalcor Coatings Company is seeking a CHEMIST for its location in Willoughby, OH. Started in 1961, Kalcor Coatings Company is A Right Size Company designing and manufacturing customized coatings and paint products to meet our customers' specific needs. Our primary goal is to be a successful developer/producer/marketer of high-performance coatings with a deserved reputation for integrity, responsibility, and competence in its treatment of employees, customers, suppliers, community and the public at large. Responsibilities Reporting to the Technical Director, this position has the following responsibilities: Perform specialized and advanced analyses, testing, and formulation of new and existing coating products and requirements. Perform small batch/sample manufacture, color matching, and testing. Assist in developing and specifying processes for coatings scale-up and manufacture. Evaluate new and existing raw materials for product improvement, availability, and/or cost benefits. Prepare reports and documents detailing project design, results, and conclusions; recommend additional actions or research. Support existing product lines via internal and external customer interaction, including technical service visits. Coordinate all regulatory and related environmental activities for Kalcor products and facility compliance in conjunction with the Technical Director. Perform daily housekeeping of laboratory and associated areas, functioning within safety guidelines. Qualifications Bachelor's degree in chemistry or a technical discipline (science or engineering). 5+ years of experience in a paint, coatings, or chemical laboratory, including formulation experience. Will consider a combination of experience and education. Broad range of formulation experience, including UV, waterborne, and solvent borne. Experience with 2K component a plus. Familiarity with design of experiment approach (DOE) and the ability to design, document, report, interpret and present findings as well as design follow-up experiments. Strong written and oral communication skills, including the ability to effectively present information to a variety of people (ie customers, public groups, top management, and boards of directors). Ability to operate, maintain, and calibrate a variety of specialized test and lab equipment, including color spectrophotometer. Working knowledge of MS Office (Word, Excel, PowerPoint, Outlook) and prior experience with formulation/processing software, color analysis and matching programs, or willingness and ability to learn. Exceptional mathematical, problem solving, documentation and organizational skills. Strong attention to detail and accuracy. Willingness and ability to travel to customer locations as needed. Valid driver's license and ability to be insured through the company's insurer. Candidates must be able to pass a color test, regularly lift and/or move up to 60 pounds, wear a fitted respirator and dust mask, and tolerate solvent odors and other chemicals used within the facility. Kalcor is a smoke-free, tobacco-free and vaping-free facility. If you are looking for a work environment that expects high quality work, professional conduct and respectful consideration for customers and coworkers alike, and you possess the skills and competencies for the Chemist position, we would like to hear from you! Equal Opportunity Employer