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.
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.
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.
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
Job title: Senior Desktop Engineer Salary: £30,000 - £33,000 + Fantastic Benefits Package 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
14/05/2024
Full time
Job title: Senior Desktop Engineer Salary: £30,000 - £33,000 + Fantastic Benefits Package 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
Sanderson Government & Defence
Stevenage, Hertfordshire
Unix/Linux Engineer - SC/DV Eligible Location: Stevenage, Bristol or Bolton Type : Predominantly on-site Salary : £50,000 - £58,000 Clearance : SC/DV Eligible, active clearance preferred A primary technical partner of the MOD are looking to add to their infrastructure innovation team. This role will be working with an existing team, collaborating with teams on supporting supporting the mission of keeping UK Defence agile and safe. The role: Monitor and provide technical support for client's infrastructure, including incident and request management. Administer Servers to ensure optimal performance and reliability. Plan and execute changes in accordance with client agreements and the ITIL change management process. Assess user requirements and develop technical specifications that are both cost-effective and align accurately with the clients' identified needs. Install and thoroughly test operating software and associated products in collaboration with application providers. Your transferable skills and experience: Operating Systems: Windows 2019, 2016, 2012, and 2008 Virtualization Platforms: VMware ESXi and MS Hyper-V Active Directory and Identity Manager expertise SCOM (System Center Operations Manager) and SCCM (System Center Configuration Manager) knowledge Familiarity with McAfee antivirus software Experience in Software License Management Understanding of specific infrastructure support services Knowledge of algorithms and methodologies for system and network development, building, and configuration. If you're interested in the above and would like to learn more, apply or reach out to (see below)
13/05/2024
Full time
Unix/Linux Engineer - SC/DV Eligible Location: Stevenage, Bristol or Bolton Type : Predominantly on-site Salary : £50,000 - £58,000 Clearance : SC/DV Eligible, active clearance preferred A primary technical partner of the MOD are looking to add to their infrastructure innovation team. This role will be working with an existing team, collaborating with teams on supporting supporting the mission of keeping UK Defence agile and safe. The role: Monitor and provide technical support for client's infrastructure, including incident and request management. Administer Servers to ensure optimal performance and reliability. Plan and execute changes in accordance with client agreements and the ITIL change management process. Assess user requirements and develop technical specifications that are both cost-effective and align accurately with the clients' identified needs. Install and thoroughly test operating software and associated products in collaboration with application providers. Your transferable skills and experience: Operating Systems: Windows 2019, 2016, 2012, and 2008 Virtualization Platforms: VMware ESXi and MS Hyper-V Active Directory and Identity Manager expertise SCOM (System Center Operations Manager) and SCCM (System Center Configuration Manager) knowledge Familiarity with McAfee antivirus software Experience in Software License Management Understanding of specific infrastructure support services Knowledge of algorithms and methodologies for system and network development, building, and configuration. If you're interested in the above and would like to learn more, apply or reach out to (see below)
Description: We are seeking an experienced CIAM Engineer with strong knowledge of Okta and Azure AD to join the Digital Product team. The successful candidate will be an expert in technical analysis, application design and code development, with proven hands-on experience in the configuration of Okta and Azure AD and working with agile teams. Perfect candidate: A technical expert with a good understanding of Okta, able to take ownership of own work to meet deadlines. Tasks & Responsibilities: Analyse business requirements and align them into information technologies with best practices. Closely collaborate with infrastructure admins, developers, business analysts, business users and the implementation team to ensure that the requirements are understood, developed, tested, and delivered to specification. Participate and actively contribute to design discussions with implementation partners. Take care of configuration changes and customisation of Okta product as per the business needs. Implement system/data integrations between Okta and other in-house business applications. Configure the Okta platform workflows. Support the testing efforts. Design and implement CIAM project CI/CD pipelines. Support training materials preparation activities. Contribute to business process optimization and system enhancements Actively contribute to the agile delivery of the implementation team Design and implement application-level security configurations Develop and document CIAM engineering patterns and guidelines. Must haves: Minimum of 7 years of experience working in IT and a minimum of 5 years of experience working with Okta. (*) Knowledge and experience with Azure AD (including B2B users). (*) Experience in creating customizations and workflows in Okta. (*) Hands-on experience with CIAM project implementation. (*) Experience in working within an agile implementation team. (*) Experience in creating custom UI pages using JavaScript, HTML, CSS. (*) Experience in creating AzDo/GitHub CI/CD pipelines. (*) Interpersonal skills: Good communication and presentation skills (oral and written English) Proactive, flexible and customer focused Good problem-solving skills Skills: Okta Authentication Systems engineering Identity management Identity access management Active Directory Java Access management Engineering azure ad azdo github cicd JavaScript HTML CSS sharepoint azure paas sharepoint online c# ASP.NET ansible terraform Employee Value Proposition: International environment Job Title: CIAM Engineer Location: Basel, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
13/05/2024
Project-based
Description: We are seeking an experienced CIAM Engineer with strong knowledge of Okta and Azure AD to join the Digital Product team. The successful candidate will be an expert in technical analysis, application design and code development, with proven hands-on experience in the configuration of Okta and Azure AD and working with agile teams. Perfect candidate: A technical expert with a good understanding of Okta, able to take ownership of own work to meet deadlines. Tasks & Responsibilities: Analyse business requirements and align them into information technologies with best practices. Closely collaborate with infrastructure admins, developers, business analysts, business users and the implementation team to ensure that the requirements are understood, developed, tested, and delivered to specification. Participate and actively contribute to design discussions with implementation partners. Take care of configuration changes and customisation of Okta product as per the business needs. Implement system/data integrations between Okta and other in-house business applications. Configure the Okta platform workflows. Support the testing efforts. Design and implement CIAM project CI/CD pipelines. Support training materials preparation activities. Contribute to business process optimization and system enhancements Actively contribute to the agile delivery of the implementation team Design and implement application-level security configurations Develop and document CIAM engineering patterns and guidelines. Must haves: Minimum of 7 years of experience working in IT and a minimum of 5 years of experience working with Okta. (*) Knowledge and experience with Azure AD (including B2B users). (*) Experience in creating customizations and workflows in Okta. (*) Hands-on experience with CIAM project implementation. (*) Experience in working within an agile implementation team. (*) Experience in creating custom UI pages using JavaScript, HTML, CSS. (*) Experience in creating AzDo/GitHub CI/CD pipelines. (*) Interpersonal skills: Good communication and presentation skills (oral and written English) Proactive, flexible and customer focused Good problem-solving skills Skills: Okta Authentication Systems engineering Identity management Identity access management Active Directory Java Access management Engineering azure ad azdo github cicd JavaScript HTML CSS sharepoint azure paas sharepoint online c# ASP.NET ansible terraform Employee Value Proposition: International environment Job Title: CIAM Engineer Location: Basel, Switzerland Job Type: Contract TEKsystems, an Allegis Group company. Allegis Group AG, Aeschengraben 20, CH-4051 Basel, Switzerland. Registration No. CHE-101.865.121. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at our website. To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go our website. We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice on our website for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.