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.
Our client is looking for a skilled and enthusiastic network engineer to join their team based around Glasgow. The ideal candidate will have a strong grasp of the requirements below. If you feel that you are capable, I would love to hear from you and discuss the position in full. Duties and Responsibilities Design, implement, configure and manage the organisation's network infrastructure, including LANs, WANs, VPNs, Routers, Switches, Firewalls, and wireless access points. Identify and address issues to ensure high availability, reliability, and optimal performance. Deploy and maintain the systems' infrastructure, including Servers, storage solutions, operating systems, virtualisation platforms and cloud services. Manage network and systems capacity planning to accommodate growth and changing computing requirements. Collaborate with IT teams worldwide to develop integrated network and systems solutions aligned with business objectives and technology standards. Perform regular security assessments and audits to identify vulnerabilities and implement necessary patches, updates, and security protocols. Design, implement and maintain disaster recovery and business continuity plans. Provide technical support to end-users and other IT teams, addressing network and systems-related incidents and challenges. Document network and systems configurations, procedures, and troubleshooting guides to facilitate knowledge sharing and training. Stay informed about emerging technologies, industry trends, and best practices in networking and systems engineering. Automate network and systems tasks using Scripting languages and configuration management tools. Work with vendors and service providers for procurement, maintenance, and support of network and systems equipment and software. Install hardware for systems and users, as required. Packaging and deployment of applications and software updates. Identify, propose, contribute and manage IT projects for continuous improvement. Qualifications, Knowledge & Skills Bachelor's degree in Computer Science, Information Technology, or related field; or relevant work experience for a minimum of five years. Proven experience as a Network Engineer/Administrator, Systems Engineer/Administrator, or similar role, demonstrating proficiency in both networking and systems administration. Strong understanding of network protocols, routing, switching, and network security practices. Familiarity with various operating systems, including Windows and VMWare ESXi and experience in system administration. Proficiency in configuring and managing virtualisation platforms such as VMware. Scripting skills (eg, PowerShell) for network and systems automation and optimisation. Knowledge of hardware components, server architecture, and storage systems (SANs). Familiarity with security tools, encryption, certificates, PKI, authentication, and patch management for both networks and systems. Excellent communication skills to collaborate effectively with technical and non-technical teams. Strong problem-solving abilities for diagnosing and resolving complex network and systems issues. Ability to manage multiple tasks, projects, and priorities while adhering to deadlines. Main benefits: Salary Life Assurance x 4 times annual salary Critical Illness x 2 times annual salary Westfield Health Cover - CashPlan and Hospital Plan Personal Private Pension (currently Scottish Widows). Salary Exchange. 5% company contribution 34 day holiday (includes public holidays) Contribution to fitness club or classes Please send a copy of your CV for more information and to discuss your suitability. Hays Specialist Recruitment Limited 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
Our client is looking for a skilled and enthusiastic network engineer to join their team based around Glasgow. The ideal candidate will have a strong grasp of the requirements below. If you feel that you are capable, I would love to hear from you and discuss the position in full. Duties and Responsibilities Design, implement, configure and manage the organisation's network infrastructure, including LANs, WANs, VPNs, Routers, Switches, Firewalls, and wireless access points. Identify and address issues to ensure high availability, reliability, and optimal performance. Deploy and maintain the systems' infrastructure, including Servers, storage solutions, operating systems, virtualisation platforms and cloud services. Manage network and systems capacity planning to accommodate growth and changing computing requirements. Collaborate with IT teams worldwide to develop integrated network and systems solutions aligned with business objectives and technology standards. Perform regular security assessments and audits to identify vulnerabilities and implement necessary patches, updates, and security protocols. Design, implement and maintain disaster recovery and business continuity plans. Provide technical support to end-users and other IT teams, addressing network and systems-related incidents and challenges. Document network and systems configurations, procedures, and troubleshooting guides to facilitate knowledge sharing and training. Stay informed about emerging technologies, industry trends, and best practices in networking and systems engineering. Automate network and systems tasks using Scripting languages and configuration management tools. Work with vendors and service providers for procurement, maintenance, and support of network and systems equipment and software. Install hardware for systems and users, as required. Packaging and deployment of applications and software updates. Identify, propose, contribute and manage IT projects for continuous improvement. Qualifications, Knowledge & Skills Bachelor's degree in Computer Science, Information Technology, or related field; or relevant work experience for a minimum of five years. Proven experience as a Network Engineer/Administrator, Systems Engineer/Administrator, or similar role, demonstrating proficiency in both networking and systems administration. Strong understanding of network protocols, routing, switching, and network security practices. Familiarity with various operating systems, including Windows and VMWare ESXi and experience in system administration. Proficiency in configuring and managing virtualisation platforms such as VMware. Scripting skills (eg, PowerShell) for network and systems automation and optimisation. Knowledge of hardware components, server architecture, and storage systems (SANs). Familiarity with security tools, encryption, certificates, PKI, authentication, and patch management for both networks and systems. Excellent communication skills to collaborate effectively with technical and non-technical teams. Strong problem-solving abilities for diagnosing and resolving complex network and systems issues. Ability to manage multiple tasks, projects, and priorities while adhering to deadlines. Main benefits: Salary Life Assurance x 4 times annual salary Critical Illness x 2 times annual salary Westfield Health Cover - CashPlan and Hospital Plan Personal Private Pension (currently Scottish Widows). Salary Exchange. 5% company contribution 34 day holiday (includes public holidays) Contribution to fitness club or classes Please send a copy of your CV for more information and to discuss your suitability. Hays Specialist Recruitment Limited 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.
Mechanical Engineer/Aerospace Engineer - Aerospace Testing Equipment, Wind Tunnels, Force Measurement & Positioning Systems; Bespoke Mechanical Engineering, Design, Hands-on Assembly, Installation; FEA, CAE from: Solidworks, 3D CAD, CATIA, Unigraphix/UG NX, Inventor etc. Permanent, East Sussex, Onsite. C.£60k + Bonus. Specialist Engineering firm with 30 year trading history and a leading position within the Wind Tunnel/Airflow Testing Solutions marketplace seek Mechanical Engineer to join the business and play a lead role within the team. With the majority of their clients operating within the Aerospace, Motorsport and Defence sectors the company delivers bespoke engineering solutions to clients across the globe. A wide range of wind/air flow testing solutions are offered within their product range with each actual delivery being bespoke in nature. The Mechanical Engineer/Aerospace Engineer will work in a lead capacity and within the full life cycle. This will require the design of the solution using 3D CAE tools such as Solidworks, 3D CAD, CATIA, Unigraphix/UG NX, Inventor etc, liaison with the fabricators and then the subsequent (hands-on) build and assembly of the systems either in the company's factory environment and/or onsite anywhere in the world. You will plan complex engineering projects, design solutions/oversee solutions designed by the team, play a key role in the assembly and installation but also solve problems as they arise and advise on appropriate methods and solutions to improve the end product. This will require both leadership of the team, engagement with senior management, project management capability as well as engagement with customers within some of the worlds' leading organisations within the Aerospace, Automotive, Motorsport and Defence sectors. We are searching for an experienced Mechanical Engineer/Aerospace Engineer who possesses many years' experience in the full life cycle of aeronautical/motion control/electromechanical engineering fields where you will have gained experience in in 2D and 3D CAE with either Solidworks, 3D CAD, CATIA, Unigraphix/UG NX, Inventor etc. You will be a hands-on Engineer with experience of machined components to tight tolerances; large, welded fabrications. You will be comfortable with the concepts of FEA (Finite Element Analysis). Leadership, Project Management, Client Engagement and an overall keen eye for detail will all be expected and in return you will have the opportunity to deliver first class systems for some of the world's leading companies. Excellent communication skills will be required. SC clearance required/to be undertaken on appointment. This is an exceptional opportunity to join a well-established, leading specialist engineering company with exciting global prospects. Due to the hands-on nature of this role we require someone who can work Full Time, onsite at the company's facility in rural East Sussex. You will need to be in possession of a full driving license and car as the offices and assembly centre are not within walking distance of the mainline train station. The location is easily commutable (by car) from areas including Eastbourne, Hailsham, Hastings, Uckfield East Sussex; Tunbridge Wells, Sevenoaks, Kent; East Grinstead, Crawley West Sussex; Horley, Redhill, Surrey.
17/05/2024
Full time
Mechanical Engineer/Aerospace Engineer - Aerospace Testing Equipment, Wind Tunnels, Force Measurement & Positioning Systems; Bespoke Mechanical Engineering, Design, Hands-on Assembly, Installation; FEA, CAE from: Solidworks, 3D CAD, CATIA, Unigraphix/UG NX, Inventor etc. Permanent, East Sussex, Onsite. C.£60k + Bonus. Specialist Engineering firm with 30 year trading history and a leading position within the Wind Tunnel/Airflow Testing Solutions marketplace seek Mechanical Engineer to join the business and play a lead role within the team. With the majority of their clients operating within the Aerospace, Motorsport and Defence sectors the company delivers bespoke engineering solutions to clients across the globe. A wide range of wind/air flow testing solutions are offered within their product range with each actual delivery being bespoke in nature. The Mechanical Engineer/Aerospace Engineer will work in a lead capacity and within the full life cycle. This will require the design of the solution using 3D CAE tools such as Solidworks, 3D CAD, CATIA, Unigraphix/UG NX, Inventor etc, liaison with the fabricators and then the subsequent (hands-on) build and assembly of the systems either in the company's factory environment and/or onsite anywhere in the world. You will plan complex engineering projects, design solutions/oversee solutions designed by the team, play a key role in the assembly and installation but also solve problems as they arise and advise on appropriate methods and solutions to improve the end product. This will require both leadership of the team, engagement with senior management, project management capability as well as engagement with customers within some of the worlds' leading organisations within the Aerospace, Automotive, Motorsport and Defence sectors. We are searching for an experienced Mechanical Engineer/Aerospace Engineer who possesses many years' experience in the full life cycle of aeronautical/motion control/electromechanical engineering fields where you will have gained experience in in 2D and 3D CAE with either Solidworks, 3D CAD, CATIA, Unigraphix/UG NX, Inventor etc. You will be a hands-on Engineer with experience of machined components to tight tolerances; large, welded fabrications. You will be comfortable with the concepts of FEA (Finite Element Analysis). Leadership, Project Management, Client Engagement and an overall keen eye for detail will all be expected and in return you will have the opportunity to deliver first class systems for some of the world's leading companies. Excellent communication skills will be required. SC clearance required/to be undertaken on appointment. This is an exceptional opportunity to join a well-established, leading specialist engineering company with exciting global prospects. Due to the hands-on nature of this role we require someone who can work Full Time, onsite at the company's facility in rural East Sussex. You will need to be in possession of a full driving license and car as the offices and assembly centre are not within walking distance of the mainline train station. The location is easily commutable (by car) from areas including Eastbourne, Hailsham, Hastings, Uckfield East Sussex; Tunbridge Wells, Sevenoaks, Kent; East Grinstead, Crawley West Sussex; Horley, Redhill, Surrey.
We are seeking an Internal Tool Specialist to join our clients technology team. The successful candidate will ensure effective tracking and management of ongoing projects within the tech department. Client Details Our client is a Tech company based in Hertfordshire (accessible via Metropolitan line). With a focus on creating efficient workplace solutions, the company has developed a robust reputation in the market and is constantly seeking to expand its team with skilled professionals. Description SME in a tool - implemented the internal use of one, documentation, training Experience in managing an internal tool migration Some basic project management background or experience Experience in change management and adoption of internal processes L&D or Training Background SME in a tool - implemented the internal use of one, documentation, training Manage and track project activities within the technology department. Ensure project deadlines are met and communicate any potential setbacks. Develop project strategies and plans. Coordinate with various team members to ensure project success. Manage project budgets and resources effectively. Regularly update all stakeholders with project status and progress. Identify and mitigate project risks. Maintain project documentation and ensure all compliance requirements are met. Profile Experience in managing and tracking projects within the technology sector. Strong organisational skills and attention to detail. Excellent communication and interpersonal skills. Ability to work well within a team and coordinate with various departments. Strong problem-solving abilities and a proactive approach to project management. Job Offer A competitive salary of circa £40-45,000 per year. Healthcare benefits after a probation period with employee premiums paid by the company. A variable bonus scheme, offering up to 10% of the salary. A basic stakeholder pension scheme after 3 months, administered through Standard Life.
17/05/2024
Full time
We are seeking an Internal Tool Specialist to join our clients technology team. The successful candidate will ensure effective tracking and management of ongoing projects within the tech department. Client Details Our client is a Tech company based in Hertfordshire (accessible via Metropolitan line). With a focus on creating efficient workplace solutions, the company has developed a robust reputation in the market and is constantly seeking to expand its team with skilled professionals. Description SME in a tool - implemented the internal use of one, documentation, training Experience in managing an internal tool migration Some basic project management background or experience Experience in change management and adoption of internal processes L&D or Training Background SME in a tool - implemented the internal use of one, documentation, training Manage and track project activities within the technology department. Ensure project deadlines are met and communicate any potential setbacks. Develop project strategies and plans. Coordinate with various team members to ensure project success. Manage project budgets and resources effectively. Regularly update all stakeholders with project status and progress. Identify and mitigate project risks. Maintain project documentation and ensure all compliance requirements are met. Profile Experience in managing and tracking projects within the technology sector. Strong organisational skills and attention to detail. Excellent communication and interpersonal skills. Ability to work well within a team and coordinate with various departments. Strong problem-solving abilities and a proactive approach to project management. Job Offer A competitive salary of circa £40-45,000 per year. Healthcare benefits after a probation period with employee premiums paid by the company. A variable bonus scheme, offering up to 10% of the salary. A basic stakeholder pension scheme after 3 months, administered through Standard Life.
Security Specialist - Hashicorp Hybrid Working - 1-2 days a month on site. 6 months with potential extensions £- Via Umbrella With one of Lorien's top banking clients Looking for a Security Specialist with a focus on Hashicorp to join the existing team on an end-of-life project. Key Skills: Strong Experience of working with Hashicorp. Cloud DevOps. Experience of working at Enterprise Level of Architecture/Engineering. Splunk Monitoring. Security Domain. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Project-based
Security Specialist - Hashicorp Hybrid Working - 1-2 days a month on site. 6 months with potential extensions £- Via Umbrella With one of Lorien's top banking clients Looking for a Security Specialist with a focus on Hashicorp to join the existing team on an end-of-life project. Key Skills: Strong Experience of working with Hashicorp. Cloud DevOps. Experience of working at Enterprise Level of Architecture/Engineering. Splunk Monitoring. Security Domain. Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
Your new company Hays are working with an established organisation in Avonmouth, Bristol to support in the recruitment for a permanent IT support technician. The role offers hybrid working (3 days in office per week typically) and a salary up to £30,000pa depending on experience. Your new role In the role you will join the IT services team to support in providing first class technical customer support (1st and 2nd line). You'll handle incidents face to face, over the phone and via email. The role is split between working on a service desk dealing with incidents and requests, but you will also work on hardware & desktop support. Within the role you will receive a lot of training and there will be an opportunity for personal development and career progression. To be considered for the role, you must have a couple of years' experience in a similar IT support environment, ideally working across 1st and 2nd line support. You'll have exposure with Microsoft Windows 11, MacOS and Active Directory administration. You'll also have exposure with the M365 suite including exchange online, SharePoint, Teams, Azure AD etc. You will need to be an excellent communicator with good soft skills and be able to build relationships with various stakeholders in the organisation. What you'll get in return In return, you will work for a fantastic team with a friendly work environment and great culture. The organisation promotes internal progression and development, so you will be encouraged to develop your skills and progress in your career. You will receive a salary depending on experience up to 30kpa, benefits include 25 days holiday, competitive pension, life assurance etc. You will also have the opportunity to work on a hybrid pattern 3 days per week in the office. Due to the location, you will need to be able to drive and live within a commutable distance from Avonmouth. 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 Specialist Recruitment Limited 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 company Hays are working with an established organisation in Avonmouth, Bristol to support in the recruitment for a permanent IT support technician. The role offers hybrid working (3 days in office per week typically) and a salary up to £30,000pa depending on experience. Your new role In the role you will join the IT services team to support in providing first class technical customer support (1st and 2nd line). You'll handle incidents face to face, over the phone and via email. The role is split between working on a service desk dealing with incidents and requests, but you will also work on hardware & desktop support. Within the role you will receive a lot of training and there will be an opportunity for personal development and career progression. To be considered for the role, you must have a couple of years' experience in a similar IT support environment, ideally working across 1st and 2nd line support. You'll have exposure with Microsoft Windows 11, MacOS and Active Directory administration. You'll also have exposure with the M365 suite including exchange online, SharePoint, Teams, Azure AD etc. You will need to be an excellent communicator with good soft skills and be able to build relationships with various stakeholders in the organisation. What you'll get in return In return, you will work for a fantastic team with a friendly work environment and great culture. The organisation promotes internal progression and development, so you will be encouraged to develop your skills and progress in your career. You will receive a salary depending on experience up to 30kpa, benefits include 25 days holiday, competitive pension, life assurance etc. You will also have the opportunity to work on a hybrid pattern 3 days per week in the office. Due to the location, you will need to be able to drive and live within a commutable distance from Avonmouth. 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 Specialist Recruitment Limited 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.
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
17/05/2024
Full time
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
Do you have Cisco experience, and are you seeking a new job? Deerfoot IT Recruitment is helping a global consultancy find a Full time Cisco Engineer, and the role comes with an excellent salary £50k-£60k and generous benefits package including training/certifications, pension, Life Insurance, Medical etc You will need to be eligible to undergo SC clearance due to the nature of the client. As a Cisco Engineer, you will work 5 days on client sites in either Portsmouth, Stevenage and Newport (Expenses paid for travel). This is an on-site role, and travel between the sites will be required. You will ideally have had previous experience as a communication engineer. To give you an idea of how this Cisco Engineer role would look and feel, here are some of the things you could expect to do: Resolve Level 2 and 3 Telephony/Video-conferencing Oriented Incidents Respond to specific hardware or application requests Participate in telephony and video conferencing projects Ensure the MCO of the network infrastructure Manage the local team and share your skills To apply for this Cisco Engineer role, your soft skills, expertise and experience should include: Knowledge of VMware Suite and vSan Storage Knowledge of Kurmi, Telsica, PeterConnects ecosystems Good knowledge of SIP/H323 protocols and WAN/LAN and security As a vital member of our team and in return for your expertise, inclusive approach and commitment, we'll provide a favourable salary and the chance to join a passionate and welcoming team. We'd love you to apply for this Full time Cisco Engineer position in uk, and we're waiting to hear from you. Please contact Deerfoot IT Recruitment today. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
16/05/2024
Full time
Do you have Cisco experience, and are you seeking a new job? Deerfoot IT Recruitment is helping a global consultancy find a Full time Cisco Engineer, and the role comes with an excellent salary £50k-£60k and generous benefits package including training/certifications, pension, Life Insurance, Medical etc You will need to be eligible to undergo SC clearance due to the nature of the client. As a Cisco Engineer, you will work 5 days on client sites in either Portsmouth, Stevenage and Newport (Expenses paid for travel). This is an on-site role, and travel between the sites will be required. You will ideally have had previous experience as a communication engineer. To give you an idea of how this Cisco Engineer role would look and feel, here are some of the things you could expect to do: Resolve Level 2 and 3 Telephony/Video-conferencing Oriented Incidents Respond to specific hardware or application requests Participate in telephony and video conferencing projects Ensure the MCO of the network infrastructure Manage the local team and share your skills To apply for this Cisco Engineer role, your soft skills, expertise and experience should include: Knowledge of VMware Suite and vSan Storage Knowledge of Kurmi, Telsica, PeterConnects ecosystems Good knowledge of SIP/H323 protocols and WAN/LAN and security As a vital member of our team and in return for your expertise, inclusive approach and commitment, we'll provide a favourable salary and the chance to join a passionate and welcoming team. We'd love you to apply for this Full time Cisco Engineer position in uk, and we're waiting to hear from you. Please contact Deerfoot IT Recruitment today. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
Conexus have partnered with a global company within life sciences to source an incident management specialist to launch new initiatives around Incident Response. In this role, you'll be at the forefront, setting the example for junior team members. We're looking for someone with a process-oriented background, ideally from a highly regulated environment such as pharmaceuticals, banking, or a company specializing in SOC Services. While you won't directly manage people, a significant aspect of this role involves training the team. Hands-on experience in dealing with incidents is crucial. Responsibilities: Lead the incident response efforts, ensuring incidents are managed effectively and in line with established processes and initiatives. Mentor and train junior team members to enhance their skills and capabilities in incident response, fostering a culture of continuous improvement. Collaborate with stakeholders to understand business requirements and align incident response processes accordingly. Continuously assess and refine incident response procedures to ensure they meet industry standards and best practices. Act as a subject matter expert on incident response, providing guidance and support to the internal team and other stakeholders. Coordinate with external partners and vendors as needed to enhance incident response capabilities and stay updated on emerging threats. Document and analyze incident response activities to identify areas for improvement and implement corrective actions. Stay informed about the latest trends and developments in incident response and cybersecurity to inform strategic decision-making. Requirements: Demonstrated experience in incident response management, preferably in a process-oriented environment. Proven ability to lead incident response efforts and train junior team members effectively. Hands-on experience dealing with security incidents and a strong understanding of incident response methodologies. Background in a highly regulated industry such as pharmaceuticals or banking, or experience with SOC Services, is desirable. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Relevant certifications such as CISSP, CISM, or GIAC certifications are a plus. If this position is of interest, please apply here or contact me directly for more details.
16/05/2024
Project-based
Conexus have partnered with a global company within life sciences to source an incident management specialist to launch new initiatives around Incident Response. In this role, you'll be at the forefront, setting the example for junior team members. We're looking for someone with a process-oriented background, ideally from a highly regulated environment such as pharmaceuticals, banking, or a company specializing in SOC Services. While you won't directly manage people, a significant aspect of this role involves training the team. Hands-on experience in dealing with incidents is crucial. Responsibilities: Lead the incident response efforts, ensuring incidents are managed effectively and in line with established processes and initiatives. Mentor and train junior team members to enhance their skills and capabilities in incident response, fostering a culture of continuous improvement. Collaborate with stakeholders to understand business requirements and align incident response processes accordingly. Continuously assess and refine incident response procedures to ensure they meet industry standards and best practices. Act as a subject matter expert on incident response, providing guidance and support to the internal team and other stakeholders. Coordinate with external partners and vendors as needed to enhance incident response capabilities and stay updated on emerging threats. Document and analyze incident response activities to identify areas for improvement and implement corrective actions. Stay informed about the latest trends and developments in incident response and cybersecurity to inform strategic decision-making. Requirements: Demonstrated experience in incident response management, preferably in a process-oriented environment. Proven ability to lead incident response efforts and train junior team members effectively. Hands-on experience dealing with security incidents and a strong understanding of incident response methodologies. Background in a highly regulated industry such as pharmaceuticals or banking, or experience with SOC Services, is desirable. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Relevant certifications such as CISSP, CISM, or GIAC certifications are a plus. If this position is of interest, please apply here or contact me directly for more details.
We are currently looking on behalf of one of our important clients for a Team Lead Electrical Engineer (German Speaking). The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Manage & support a team of six manufacturing technology specialists. Hold responsibility for the entire life cycle of high-voltage generators, including their development, production & adaptation to new requirements. Partake in the continuous improvement of manufacturing processes to ensure high quality & efficiency. Act as a point of contact for component management & finding solutions to problems with components & deliveries. Your Skills & Experience: At least 3 years of professional experience in Electrical Engineering within Industrial Environments. Skilled & experienced in Managing Projects. Ideally experienced in Leading Team (or very motivated to gain experience). Your Profile: Completed University Degree as an Electrical Engineer or similar & Training as an Electronics Technician, Automation Technician or Similar. Open, transparent & able to inspire others & work effectively within international environments. Fluent in English & German language skills to at least C1 Level is a mandatory requirement.
16/05/2024
Full time
We are currently looking on behalf of one of our important clients for a Team Lead Electrical Engineer (German Speaking). The role is a permanent position based in Bern Canton & comes with some home office flexibility. Your Role: Manage & support a team of six manufacturing technology specialists. Hold responsibility for the entire life cycle of high-voltage generators, including their development, production & adaptation to new requirements. Partake in the continuous improvement of manufacturing processes to ensure high quality & efficiency. Act as a point of contact for component management & finding solutions to problems with components & deliveries. Your Skills & Experience: At least 3 years of professional experience in Electrical Engineering within Industrial Environments. Skilled & experienced in Managing Projects. Ideally experienced in Leading Team (or very motivated to gain experience). Your Profile: Completed University Degree as an Electrical Engineer or similar & Training as an Electronics Technician, Automation Technician or Similar. Open, transparent & able to inspire others & work effectively within international environments. Fluent in English & German language skills to at least C1 Level is a mandatory requirement.
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 GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a GRC Security Risk Specialist. Candidate will work on the Governance, Risk Compliance team, leads and executes the programs within the GRC team, is a subject matter expert for Information Security (consulting to technical/non-technical management and the user community), and performs key risk management functions within the Security Governance department. Primary functions include life cycle management of client responses, Policy & Standards life cycle management, Security Vendor Risk program management, Security Awareness, Controls Assurance, and GRC platform and program management. Responsibilities: Respond to security assessments, questionnaires and audits from clients and third-party business partners in a timely manner. Document and perform assessments as needed. Technical writing for policies, standards and communications. Lead in the creation and maintenance of security policies, standards, processes guidelines and support documentation. Lead, evaluate, and supports the processes necessary to assure that Information Technology (IT) systems meet the organization's cyber security and risk requirements. Ensures appropriate treatment of risk, compliance, and assurance from internal and external perspectives. Serve as a subject matter expert for Information Security consulting to technical/non-technical management and staff. Manage and support the 3rd Party Security Vendor Risk Management program and lifec-ycle. Manage the exception request process and consult as needed. Lead the Security Awareness program. This includes road-map development, measurement, and evaluation of cyber training/education courses and methods based on instructional needs. Management and support of the GRC technology platforms. Conduct evaluations of an IT program or its individual components to determine compliance with published standards. Qualifications: Bachelor's degree or five (5) years of work experience in IT Security is required. Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred. Strong knowledge on Security frameworks and technologies such as ISO 27001, NIST, SOC, SIG is required Prior IT Security experience in the legal industry experience is preferred. Technical writing experience is required. Experience with instructional content, educational writing, and technical writing strongly preferred. Four (4) years of Information Security experience required. Those containing hands on technical experience are preferred. Three or more years of experience managing timelines and being self-directed preferred. Governance, Risk, and Compliance (GRC) tool management (Administrative and/or Engineering) is preferred. Client focus, including tact and diplomacy is required. Interview, gather, and understand content from subject-matter experts Maintain accurate records and manage client security and risk requests Ability to perform as primary Security Subject Matter Expert (SME). Ability to facilitate and lead project and vendor risk assessments with relative independence and provide guidance on secure design and operation. Ability to independently complete and assist in completing client security questionnaires and security assessments concerning the Firm s security program and controls. Demonstrate the ability to create and maintain security policy, standard, guideline and procedure documents. Demonstrate the ability to communicate effectively technical topics at an appropriate level of detail to varied audiences - including IT Subject Matter Experts, senior management and non-technical users. Communicates succinctly and effectively Strong organization and problem-solving skills required Strong project and time management skills required Strong reading comprehension skills required Strong analytical ability with excellent written and verbal communication skills required Strong PC skills with Microsoft (ie Word, Excel, PowerPoint) required Ability to work independently and as a group member is required SharePoint administration is preferred for team Intranet site management Broad awareness of and exposure to diverse security tools and their capabilities, including commercial and open-source options. Strong knowledge of risk management principles and practices. Strong knowledge of security administration and role-based security controls. Strong knowledge and use of GRC platforms. Knowledge of host and network-based anti-malware technologies. Knowledge of authentication technologies and interactions between diverse authentication platforms, both on-site and remote. Knowledge of client and server Firewalling technologies and capabilities. Knowledge of security event management (SIEM), event correlation and analysis technologies. Knowledge of data encryption technologies. Strong knowledge of Intrusion Detection and Intrusion Prevention technical capabilities. Knowledge of web filtering and email SPAM prevention techniques. Knowledge of vulnerability assessment and forensic investigations tools. Knowledge of mobile device security and Mobile Device Management solutions. Knowledge of Privileged Access Management technologies. Preferred Skills: Certified Information Systems Security Professional (CISSP), Certified Information Security Auditor (CISA), Certified Information Security Manager (CISM), or other relevant training and certifications are preferred.
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.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
14/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.