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.
Senior Security Engineer Up to £85,000 + 20% Bonus + 20% Pension Central London - Hybrid You will be joining a prestigious, family-run financial organisation who are on a large-scale digital transformation journey. The company itself is made up of around 500 heads, so you will have great exposure to different areas of the business whilst making a huge impact on the work you do. You will be joining as a Senior Security Engineer; this is the second hire within a growing Security team. Your role will cover all areas of security, covering support on projects that require security input (Design and concept) and BAU projects. Areas will cover things like vulnerability management, network security and general security support. Experience required: Security/Cyber Security Generalist Background in IT Support CISSP or an equivalent qualification Strong understanding of Servers Vulnerability Management Network Security Desirable but not required: Qualis Zscaler DLP Access Management (IAM/PAM) Please apply directly and we will be in touch to provide further information!
17/05/2024
Full time
Senior Security Engineer Up to £85,000 + 20% Bonus + 20% Pension Central London - Hybrid You will be joining a prestigious, family-run financial organisation who are on a large-scale digital transformation journey. The company itself is made up of around 500 heads, so you will have great exposure to different areas of the business whilst making a huge impact on the work you do. You will be joining as a Senior Security Engineer; this is the second hire within a growing Security team. Your role will cover all areas of security, covering support on projects that require security input (Design and concept) and BAU projects. Areas will cover things like vulnerability management, network security and general security support. Experience required: Security/Cyber Security Generalist Background in IT Support CISSP or an equivalent qualification Strong understanding of Servers Vulnerability Management Network Security Desirable but not required: Qualis Zscaler DLP Access Management (IAM/PAM) Please apply directly and we will be in touch to provide further information!
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
Role: Unreal Engine Developer Location: Hybrid working - 2 Days Per Week in Bristol Salary: Up to £40,000 - £45,000 Are you an Unreal Engine Developer looking for a new exciting position? I am currently working with a business based out of Bristol and Portsmouth that are looking for an Unreal Engine Developer to join their team to work across many exciting projects supporting the MOD on virtual reality and simulation projects. This is an exciting opportunity to join a growing technology company. The core development team have exceptional knowledge in the defence training industry and in a few months you could too! As an Unreal Developer with my client, you will make a real difference to the success and security of their customers. They are dedicated to employee development and recognition and are committed to nurture talent and ambitious employees who help them continuously improve performance and maintain a competitive advantage. Purpose of the role: As a developer you will be responsible for delivering XR project for the defence and private sector. You will be responsible for the structure, delivery and execution of exciting projects supporting their established client base. Other responsibility will include scanning for opportunities to utilise XR tech for training modernisation to enhance the effectiveness of their clients training. On top of the continuous personal development opportunities that will be provided, you will have the chance to work across a range of projects including augmented reality, artificial intelligence, web and mobile. Responsibilities as an Unreal Engine Developer: Lead the core coding architecture for VR development projects, offering vital support to the team. Ensure assistance is provided to relevant subcontractors throughout the development and delivery phases of supporting projects. Maintain code quality using industry-standard practices and comprehensive documentation. Collaborate with the change team on VR outline or detailed proposal activities. Stay ahead of the curve by conducting horizon scanning to identify new technology, companies, and solutions in the market. Undertake any additional tasks necessary to ensure the role's success and support the Business Unit effectively. Essential Skills and Knowledge: Proven prowess in leveraging gaming technologies to create immersive experiences. Proficient in showcasing skills with Unreal, bringing creative visions to life. Tangible experience in the realm of Virtual Reality development, crafting captivating virtual worlds. Familiarity with other essential software packages including Source Control and Visual Studio. Bachelor's degree in a directly relevant field, providing a solid foundation for innovation and growth. If you feel this role matches your skill set and experience, apply today and I will be in touch. My client does not offer sponsorship for this role. All candidates must be able to provide proof of right to work in the UK.
16/05/2024
Full time
Role: Unreal Engine Developer Location: Hybrid working - 2 Days Per Week in Bristol Salary: Up to £40,000 - £45,000 Are you an Unreal Engine Developer looking for a new exciting position? I am currently working with a business based out of Bristol and Portsmouth that are looking for an Unreal Engine Developer to join their team to work across many exciting projects supporting the MOD on virtual reality and simulation projects. This is an exciting opportunity to join a growing technology company. The core development team have exceptional knowledge in the defence training industry and in a few months you could too! As an Unreal Developer with my client, you will make a real difference to the success and security of their customers. They are dedicated to employee development and recognition and are committed to nurture talent and ambitious employees who help them continuously improve performance and maintain a competitive advantage. Purpose of the role: As a developer you will be responsible for delivering XR project for the defence and private sector. You will be responsible for the structure, delivery and execution of exciting projects supporting their established client base. Other responsibility will include scanning for opportunities to utilise XR tech for training modernisation to enhance the effectiveness of their clients training. On top of the continuous personal development opportunities that will be provided, you will have the chance to work across a range of projects including augmented reality, artificial intelligence, web and mobile. Responsibilities as an Unreal Engine Developer: Lead the core coding architecture for VR development projects, offering vital support to the team. Ensure assistance is provided to relevant subcontractors throughout the development and delivery phases of supporting projects. Maintain code quality using industry-standard practices and comprehensive documentation. Collaborate with the change team on VR outline or detailed proposal activities. Stay ahead of the curve by conducting horizon scanning to identify new technology, companies, and solutions in the market. Undertake any additional tasks necessary to ensure the role's success and support the Business Unit effectively. Essential Skills and Knowledge: Proven prowess in leveraging gaming technologies to create immersive experiences. Proficient in showcasing skills with Unreal, bringing creative visions to life. Tangible experience in the realm of Virtual Reality development, crafting captivating virtual worlds. Familiarity with other essential software packages including Source Control and Visual Studio. Bachelor's degree in a directly relevant field, providing a solid foundation for innovation and growth. If you feel this role matches your skill set and experience, apply today and I will be in touch. My client does not offer sponsorship for this role. All candidates must be able to provide proof of right to work in the UK.
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
16/05/2024
Full time
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
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.
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
15/05/2024
Full time
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
15/05/2024
Full time
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
15/05/2024
Full time
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
13/05/2024
Full time
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
Global Technology Solutions Ltd
Aldermaston, Berkshire
SC Cleared Windows O/S Build Engineer £48,925p/a + £2000p/a DV allowance standard office hours Aldermaston, Reading SC clearance must be held and available to progress on DV clearance Purpose of the role We are looking for customer-focused and enthusiastic Windows O/S build Engineer to join our Infrastructure and Tooling Team. Day to day tasks include developing customer software builds to a high standard, covering new build creation, new hardware models and build updates. Finally overseeing the deployment of the build and transitioning support to the BAU resolver Teams. You should have a genuine interest in solving people's IT issues and empathetic to customer needs and requirements. You should possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers IT Leadership. Our organisation firmly believes is building progression and developing people at all levels. Part of the role is to coach individuals and facilitate plans training so that people can perform to the best of their abilities. * Determine and document technical build specifications * Automation of existing process * Maintaining security standards * Writing, editing and testing policies with customer service always in mind. * Provide diagnosis and troubleshooting in the event of Incidents and Problems arising from the Standard Builds. * Build and actively maintain relationships with key department heads. Be a credible communicator with the customer at all levels * Drive Service Management best-practice and ITIL process compliance across the business * Drive continuous service improvement * Planning and execution of customer site deployments from build, through go-live and into operational support * QA/UAT The site benefits from a restaurant, cafe, parking and good public transport links. As a company employee you'll have access to a large library of courses and accreditations to help further your skills and development. Benefits include workplace pension scheme, life insurance, health cashback plan, holiday insurance, private medical cover (medical cover comes in to effect after 6 months service) DESIRABLE SKILLS/QUALIFICATIONS: * Deployment using: o SYSPREP o Unattended installs using unattend.txt and WINNT.SIF o RIS - Remote Installation Services o ADS - Automated Deployment Services o WDS - Windows Deployment Server o WAIK - Windows Automated Installation Kit o SCCM - System Centre Configuration manager 2012/2016 o MDT - Microsoft Deployment Tool * Security and Patching using: o Unattended and silent Scripting o SUS1.1 Software Update Services o WSUS Windows Software Update services o SCCM - System Centre Configuration manager 2012/2016 * Operating systems and service packs: o Windows 10 and year update releases o Windows Server 2012/2016/2019 o Tuning, securing, troubleshooting, printing, blue screen debugging, maintaining bios & firmware upgrades. * AD and Group Policy: o Knowledge of Active Directory and the creation of Groups, OU, and Group Policy Objects * Fault diagnosis and error checking: o Knowledge for troubleshooting, Fault Diagnosis, and error checking within SCCM, AD, MDT, Windows OS, and Sys Internals applications. * Awareness of ITIL Change and Release Management As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advise covering a range of areas including mental health and financial support Apply now for consideration! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
13/05/2024
Full time
SC Cleared Windows O/S Build Engineer £48,925p/a + £2000p/a DV allowance standard office hours Aldermaston, Reading SC clearance must be held and available to progress on DV clearance Purpose of the role We are looking for customer-focused and enthusiastic Windows O/S build Engineer to join our Infrastructure and Tooling Team. Day to day tasks include developing customer software builds to a high standard, covering new build creation, new hardware models and build updates. Finally overseeing the deployment of the build and transitioning support to the BAU resolver Teams. You should have a genuine interest in solving people's IT issues and empathetic to customer needs and requirements. You should possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers IT Leadership. Our organisation firmly believes is building progression and developing people at all levels. Part of the role is to coach individuals and facilitate plans training so that people can perform to the best of their abilities. * Determine and document technical build specifications * Automation of existing process * Maintaining security standards * Writing, editing and testing policies with customer service always in mind. * Provide diagnosis and troubleshooting in the event of Incidents and Problems arising from the Standard Builds. * Build and actively maintain relationships with key department heads. Be a credible communicator with the customer at all levels * Drive Service Management best-practice and ITIL process compliance across the business * Drive continuous service improvement * Planning and execution of customer site deployments from build, through go-live and into operational support * QA/UAT The site benefits from a restaurant, cafe, parking and good public transport links. As a company employee you'll have access to a large library of courses and accreditations to help further your skills and development. Benefits include workplace pension scheme, life insurance, health cashback plan, holiday insurance, private medical cover (medical cover comes in to effect after 6 months service) DESIRABLE SKILLS/QUALIFICATIONS: * Deployment using: o SYSPREP o Unattended installs using unattend.txt and WINNT.SIF o RIS - Remote Installation Services o ADS - Automated Deployment Services o WDS - Windows Deployment Server o WAIK - Windows Automated Installation Kit o SCCM - System Centre Configuration manager 2012/2016 o MDT - Microsoft Deployment Tool * Security and Patching using: o Unattended and silent Scripting o SUS1.1 Software Update Services o WSUS Windows Software Update services o SCCM - System Centre Configuration manager 2012/2016 * Operating systems and service packs: o Windows 10 and year update releases o Windows Server 2012/2016/2019 o Tuning, securing, troubleshooting, printing, blue screen debugging, maintaining bios & firmware upgrades. * AD and Group Policy: o Knowledge of Active Directory and the creation of Groups, OU, and Group Policy Objects * Fault diagnosis and error checking: o Knowledge for troubleshooting, Fault Diagnosis, and error checking within SCCM, AD, MDT, Windows OS, and Sys Internals applications. * Awareness of ITIL Change and Release Management As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advise covering a range of areas including mental health and financial support Apply now for consideration! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.