7.30 to 3.30, 37.5 hours a week, Monday to Friday (can be flexible on hours and overtime) Late shifts available 21.00 to 07.00, and part time hours. Overview to carry out hand masking activities in a laboratory environment. Working in a small team. This is a sedentary role and requires good dexterity and attention to detail. Duties Goods in/out visual quality inspection Completing process sheets Masking of all types of medical implants using tapes De-masking and weighing of coated implants Packing finished products Skills Required Aptitude to carry out production activities within a quality management framework, with strong adherence to standard operating protocols Creativity and initiative to identify and bring forward ideas for process improvement, quality enhancements, and efficiency cost savings. Attention to detail, task accuracy and timekeeping Good inter-personal skills Subject to security clearance, must hold valid photo ID and have full UK settlement status Benefits 25 days holiday plus bank holidays Contributory Pension Income Protection Insurance Death in Service Please note: Only candidates with the relevant skills and experience will be contacted regarding this position. If you do not hear back from us within 5 days you have unfortunately been unsuccessful in your application for this position, however we may contact you in the future to discuss other opportunities Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
04/05/2024
Full time
7.30 to 3.30, 37.5 hours a week, Monday to Friday (can be flexible on hours and overtime) Late shifts available 21.00 to 07.00, and part time hours. Overview to carry out hand masking activities in a laboratory environment. Working in a small team. This is a sedentary role and requires good dexterity and attention to detail. Duties Goods in/out visual quality inspection Completing process sheets Masking of all types of medical implants using tapes De-masking and weighing of coated implants Packing finished products Skills Required Aptitude to carry out production activities within a quality management framework, with strong adherence to standard operating protocols Creativity and initiative to identify and bring forward ideas for process improvement, quality enhancements, and efficiency cost savings. Attention to detail, task accuracy and timekeeping Good inter-personal skills Subject to security clearance, must hold valid photo ID and have full UK settlement status Benefits 25 days holiday plus bank holidays Contributory Pension Income Protection Insurance Death in Service Please note: Only candidates with the relevant skills and experience will be contacted regarding this position. If you do not hear back from us within 5 days you have unfortunately been unsuccessful in your application for this position, however we may contact you in the future to discuss other opportunities Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the job.
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-caliber, 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 lifecycle 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.
04/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
04/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
04/05/2024
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-caliber, 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 lifecycle 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
Chicago, Illinois
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
03/05/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
03/05/2024
Full time
*Role can be Remote. This is a 3rd shift role, 11:00pm-7:30am, Tuesday thru Saturday each week* *Position is bonus eligible* Prestigious Financial Company is currently seeking a ITIL Production Server Operations Administrator. Candidate will work closely with a broad cross-section of the organization including the following teams: Production Control, Production Support, Release Management, Platform Services, Storage, Unix, Networking, Business Operations, Change/Problem/Incident Management. The primary focus of this role is to ensure that Production runs as efficiently as possible by being an evangelist for Continues Improvement (CI), and being a technical liaison to teams to ensure that operational readiness best practices are being adhered to. Responsibilities: Focus on shifting the overall operational posture from re-active to pro-active Analyze and report upon Production performance CI opportunities Analyze and report upon Production capacity CI opportunities Analyze and report upon Production critical-path processing CI opportunities Stand-up SWATs if when needed to drive resolution of ongoing Production issues Identifies and diagnoses complex problems and factors affecting Production performance Troubleshoot hardware and software problems, take appropriate corrective actions and/or interact with IT-staff/vendors in performing complex testing, support, and troubleshooting functions Move between tactical & strategic (ie. Forecast system demands and recommend upgrades, expansions and reconfigurations if/when needed) Consult & evangelize for operational best practices Collaborate across domains (ie. network, DB etc) to assist with application tuning Adhere to any/all Production security requirements and best practices Adhere to, and advocate for, all ITIL processes (ie. Incident, Problem, & Change) Actively participate in Incident, Problem & Change as a shepherd for all things Production Analyze repeating alerts to pro-actively identify environmental issues Surface any/all environmental & operational risks identified Evangelize for repeatable automated processes that can be scaled Prioritizes and align efforts to Production availability requirements and business priorities After hours, weekend work may be required during off hours maintenance windows. Qualifications: [Required] Working knowledge of ITIL principles [Required] Understands technical monitoring and metrics [Required] Sophisticated understanding of enterprising technology [Required] Mature understanding of the relationship between software and hardware [Required] Knowledge of Clearing and Finance industry [Required] Knowledge of Application life cycle and deployment [Required] Problem/Incident management experience [Required] Bachelors degree in Computer Science, Telecommunications or a related discipline [Required] 5+ years experience production systems operations or an equivalent combination of education and work experience [Required] The qualified candidate demonstrates a strong ability to multi-task in an environment of constantly changing priorities
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
03/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking a Senior Linux DevOps Engineer. Candidate will be responsible for design and support of core platform engineering automation. This role will drive the strategy for infrastructure automation and be charged to improve application adoption, reduce overall operational support, and increase end-user usability of our platform services. Candidate will provide team leadership required to support a large, complex Architect L3 Linux based computing environment and an increasing transition to Linux infrastructure in AWS. Assist in driving infrastructure as code mentality throughout the organization and demonstrate a passion for automation concepts and tools. Responsibilities: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Qualifications : Hands-on experience with: Terraform, Kubernetes, Jenkins, Kafka, Github, and configuration management tools such as Ansible. Relevant experience with configuration and implementation of IaaS, Infrastructure as code, AWS, Azure, etc. Extensive knowledge of Linux operating systems, Linux shells and standard utilities, and common Linux security tools at L3 level In depth system administration knowledge and skills for RedHat Linux. Technical Skills: Kubernetes Experience - Strong knowledge in Kubernetes deployment frameworks/platforms including Helm, Docker, Rancher, OpenShift, EKS. Linux Experience: Provide advanced system administration, operational support and problem resolution for a large complex Linux computing environment, including both virtualized and physical Servers. Create and Patch AMIs, perform pull requests, write Automation code using tools such as Ansible, Terraform, etc. Cloud Experience - Strong knowledge of secure cloud infrastructure design and components, such as: Servers, operating systems, networks, IAM, and storage. Cloud Certifications, specifically AWS Cloud certification would be preferred. Infra Automation - Expert knowledge in core automation development toolchain including Terraform, Ansible, Jenkins, Git, Harness. CICD Experience - Mastery of CICD best practices in a large organization. (GitOps/DevOps, secure builds, secure code promotion, deployments (Harness/Argo), automated testing (app and infra), integration of policy frameworks, cost-optimization, SLSA best practices) Resilient Design - Experience with architecting, implementing and maintaining highly available mission critical environments for 24/7 availability.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
03/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Sr. .NET Product Engineer. This engineer will be doing full stack custom application development. They will work with .Net, C#, MVC, Javascript, jQuery, HTML 5, etc. Responsibilities: The Sr .NET Product Engineer I is responsible for delivering custom business solutions using the Microsoft technology stack. The individual will drive the design and development of user interfaces, business objectives and overall infrastructure. Analyze, design, configure, develop and implement intermediate-level solutions to meet business needs and objectives. Provide Level 3 support. Investigates operational or systematic problems and provides resolution using intermediate analytical skills and tools as necessary. Prepare project proposals and develop project plans. May lead small projects. Maintain up-to-date awareness of current and future directions of business industry and associated technologies. Investigate and document present procedures as liaison with user departments. May develop and maintain application security, design and documentation according to legal compliance requirements. Qualifications & Requirements A Bachelor's Degree is preferred in mechanical, computer, or electrical engineering discipline. 8 plus years of software development experience with 6 plus years of web-based software development in .NET technologies (C#, .NET Framework, .NET Core, Docker, MVC, SQL Server). Prior experience developing MSOffice add-Ins in Word, Outlook and Excel Prior experience with ASP.NET MVC (versions 4 and up), .NET Core, WCF, Restful services, JavaScript, jQuery, HTML5/CSS3, React, responsive design, and Dependency Injection frameworks are desired. Experience with ORM with different tools such as Entity Framework and LINQ. Experience working with container-based solutions Experience with continuous integration with Azure DevOps, Git (or similar). Should have strong understanding of SOA, TDD, SOLID principles, and systems architecture concepts. Must be familiar with agile or other iterative development methodologies. Technologies/Software Must understand Microsoft Windows Operating system architecture Must understand Microsoft Windows Office System Ability to participate in all aspects of application SDLC including Agile methodologies Must have experience the Microsoft Visual Studio and ADO Must participate in daily team scrums and code reviews Must understand Microsoft SQL Server Microsoft Visual Studio 2019/2021 Azure DevOps .NET Framework, .NET Core, Rest API services, WCF Services C#, VB.NET, JQuery, JavaScript, Typescript, React, LINQ, HTML5, CSS3, Bootstrap SQL Server, PostgreSQL Docker MVC Framework Entity Framework Knowledge of SOA (Service Oriented Architecture) and N-Tier Architecture.
Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office This role is a hybrid position and can be based in either their Dorking (Surrey) or Basingstoke (Hampshire) offices with the expectation of being in the office 4 - 6 times per month. The overall package is worth around £80-85k. A leading financial services company are recruiting for a Senior Infrastructure Engineer to take a lead position within their infrastructure team: - with a requirement to be a senior technical engineer and lead by example. - a core element of this role is having the ability to affect technical change in their environment. - this can be as simple as leading new migrations, implementing new software or leading the support of their new Azure Cloud environment. - but you need to have the ability to articulate this and demonstrate what you have done and bring to the table. An understanding or appreciation of Azure and DevOps, is an advantage, but not essential as they are slowly moving their environment over to an infrastructure that supports Azure, although this will only be a small percentage of their estate and they have a hybrid on-prem/cloud (potentially around 20%) model. This is a great role working in a team where career progression is actively encouraged. Ideally you will possess core skills within Wintel/VMware technologies, have a DevOps appreciation and understanding, but this is definitely not a DevOps role. Any knowledge of Nutanix or the willingness to learn it as a new technology is well received and the ability to take on new technology and role with it is important. The primary day to day work for the Senior Infrastructure Engineer/Azure/DevOps focus will consist of: Individuals in the Senior Infrastructure Engineer position are responsible for designing system and infrastructure architectures spanning the whole range of hardware and software technologies in their designated field, using approved system engineering practices. They will develop and maintain the high-level design plan for the overall logical and technical IT architecture. They will provide technical leadership and consulting across the organisation, from strategic decision making to project level planning. They will gain organisational commitment for all high-level Infrastructure plans and initiate and participate in projects to evaluate technologies and methods for implementing these plans. They will work closely with decision makers throughout the organisation to identify, recommend, develop, implement, and support cost-effective information processing and communication technologies. They will benchmark, analyse, report on, and make recommendations for the improvement of the relevant IT Infrastructure and IT systems. They will apply proven analytical and problem-solving skills to help validate, verify, communicate, and resolve complex systems/software/networking/infrastructure applications and infrastructure issues. They are responsible for planning, designing and analysing the organisations operating system(s), storage management, agents/instrumentation, systems management, security, network, web administration, database management, automation, and application technical stacks. Additionally, this position may require working knowledge of multiple computing/networking platforms (including physical, virtual, and cloud,) while ensuring high levels of data quality and availability. They are also responsible for capacity planning, backup and restore process design, performance analysis, and developing data disaster recovery plans. Principal Duties and Responsibilities for the Senior Infrastructure Engineer/Azure/DevOps role: Designs, builds and deploys solutions across the relevant infrastructure technologies, including Humanas Azure tenant. Designs automation of infrastructure as a service and capabilities including virtual networks, virtual machines, cloud services, web sites, data services, IoT, etc. Leads technical deployments that involve multiple IT teams and stakeholders. Develops and enhances the orchestration and automation of cloud enablement tools. Designs a highly scalable and redundant physical or virtual infrastructure to support the companys future growth. Provides innovative suggestions for complex implementation solutions. Creates documentation and implementation plans to allow support teams to build and manage the relevant environment. Develops and manages an infrastructure capacity plan. Required Skillset for the Senior Infrastructure Engineer/Azure/DevOps focus position: Possess significantly developed hands-on technical expertise in multiple key operating systems or subsystem areas. Have some experience in creating as well as using Scripting and other tools to automate routine tasks - Ability to automate manual tasks using Scripting languages (eg Shell, python, Perl, bash). Drive resolution of technical problems in a methodical and professional manner. Effectively summarise and clearly communicate software/hardware problems involving multiple support teams. Some Azure/Cloud exposure, with a DevOps understanding. Demonstrable related work experience (Wintel, VMWare) any experience with Nutanix Converged technologies, including Nutanix Acropolis Hypervisor or AHV. Windows OS Configuring & troubleshooting 2016, 2019 and 2022 (nice to have). VMware Virtualisation 6.5+. AD/DNS/GPO configuration. ITIL Framework grounding (Incident, Change, etc). Any Scripting knowledge is an advantage. Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office
03/05/2024
Full time
Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office This role is a hybrid position and can be based in either their Dorking (Surrey) or Basingstoke (Hampshire) offices with the expectation of being in the office 4 - 6 times per month. The overall package is worth around £80-85k. A leading financial services company are recruiting for a Senior Infrastructure Engineer to take a lead position within their infrastructure team: - with a requirement to be a senior technical engineer and lead by example. - a core element of this role is having the ability to affect technical change in their environment. - this can be as simple as leading new migrations, implementing new software or leading the support of their new Azure Cloud environment. - but you need to have the ability to articulate this and demonstrate what you have done and bring to the table. An understanding or appreciation of Azure and DevOps, is an advantage, but not essential as they are slowly moving their environment over to an infrastructure that supports Azure, although this will only be a small percentage of their estate and they have a hybrid on-prem/cloud (potentially around 20%) model. This is a great role working in a team where career progression is actively encouraged. Ideally you will possess core skills within Wintel/VMware technologies, have a DevOps appreciation and understanding, but this is definitely not a DevOps role. Any knowledge of Nutanix or the willingness to learn it as a new technology is well received and the ability to take on new technology and role with it is important. The primary day to day work for the Senior Infrastructure Engineer/Azure/DevOps focus will consist of: Individuals in the Senior Infrastructure Engineer position are responsible for designing system and infrastructure architectures spanning the whole range of hardware and software technologies in their designated field, using approved system engineering practices. They will develop and maintain the high-level design plan for the overall logical and technical IT architecture. They will provide technical leadership and consulting across the organisation, from strategic decision making to project level planning. They will gain organisational commitment for all high-level Infrastructure plans and initiate and participate in projects to evaluate technologies and methods for implementing these plans. They will work closely with decision makers throughout the organisation to identify, recommend, develop, implement, and support cost-effective information processing and communication technologies. They will benchmark, analyse, report on, and make recommendations for the improvement of the relevant IT Infrastructure and IT systems. They will apply proven analytical and problem-solving skills to help validate, verify, communicate, and resolve complex systems/software/networking/infrastructure applications and infrastructure issues. They are responsible for planning, designing and analysing the organisations operating system(s), storage management, agents/instrumentation, systems management, security, network, web administration, database management, automation, and application technical stacks. Additionally, this position may require working knowledge of multiple computing/networking platforms (including physical, virtual, and cloud,) while ensuring high levels of data quality and availability. They are also responsible for capacity planning, backup and restore process design, performance analysis, and developing data disaster recovery plans. Principal Duties and Responsibilities for the Senior Infrastructure Engineer/Azure/DevOps role: Designs, builds and deploys solutions across the relevant infrastructure technologies, including Humanas Azure tenant. Designs automation of infrastructure as a service and capabilities including virtual networks, virtual machines, cloud services, web sites, data services, IoT, etc. Leads technical deployments that involve multiple IT teams and stakeholders. Develops and enhances the orchestration and automation of cloud enablement tools. Designs a highly scalable and redundant physical or virtual infrastructure to support the companys future growth. Provides innovative suggestions for complex implementation solutions. Creates documentation and implementation plans to allow support teams to build and manage the relevant environment. Develops and manages an infrastructure capacity plan. Required Skillset for the Senior Infrastructure Engineer/Azure/DevOps focus position: Possess significantly developed hands-on technical expertise in multiple key operating systems or subsystem areas. Have some experience in creating as well as using Scripting and other tools to automate routine tasks - Ability to automate manual tasks using Scripting languages (eg Shell, python, Perl, bash). Drive resolution of technical problems in a methodical and professional manner. Effectively summarise and clearly communicate software/hardware problems involving multiple support teams. Some Azure/Cloud exposure, with a DevOps understanding. Demonstrable related work experience (Wintel, VMWare) any experience with Nutanix Converged technologies, including Nutanix Acropolis Hypervisor or AHV. Windows OS Configuring & troubleshooting 2016, 2019 and 2022 (nice to have). VMware Virtualisation 6.5+. AD/DNS/GPO configuration. ITIL Framework grounding (Incident, Change, etc). Any Scripting knowledge is an advantage. Senior Infrastructure Engineer/Azure/DevOps focus Surrey or Hampshire/Hybrid/WFH £60,000 to £65,000 + £4-5,000 oncall/overtime, plus bonus excellent benefits and growth potential (fantastic employer)/Surrey or Hampshire albeit 1, possibly 2 days per week in the office
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-caliber, 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 lifecycle 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.
03/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
03/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
03/05/2024
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-caliber, 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 lifecycle 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.
OLE Description: F5 WAF Engineer - in-depth knowledge of F5 BIG-IP and NGNIX+WAF(Not F5 Platform/network) As an Automation Engineer, you will play a pivotal role in enhancing our IT infrastructure by designing, creating, and maintaining bespoke Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored to specific project needs. This role will have an initial focus on leveraging F5 technologies alongside a broad spectrum of automation and DevOps practices to deliver our automation use cases; however once F5 automaton works have completed, works will progress to other WAF platforms and use cases. You will be responsible for the integration of CI/CD pipelines with solutions developed by other teams, Scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform and Ansible. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should not only have technical proficiency in data structures, automation technologies, API interactions, and cloud services, but also exhibit a strong drive to research, investigate, and collaborate effectively within the organization. Key Responsibilities Developing and Delivering Automation for F5 WAF Platform: In the first instance: Developing and delivering automation solutions specifically for our F5 Web Application Firewall (WAF) platform, aligned with our specific use cases. This involves Scripting, configuring, and deploying automation workflows that enhance security, manageability, and operational efficiency of the F5 WAF environment. CI/CD Pipeline Development: Create, enhance and implement new, customized CI/CD pipelines tailored for specific project use cases, ensuring efficient, automated workflows Pipeline Maintenance: Regularly update and maintain existing CI/CD pipelines to ensure they are efficient, secure, and up-to-date with the latest technology standards Integration of Solutions: Work collaboratively with other teams to integrate their solutions and tools into the CI/CD pipelines effectively, enhancing overall workflow and productivity. IaC Manifests Creation: Develop and maintain Infrastructure as Code (IaC) manifests, predominantly using Terraform, to manage and provision IT infrastructure in a consistent and repeatable manner Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the potential for human error. Collaboration and Communication: Collaborate with cross-functional teams, including software development, operations, and quality assurance, to ensure seamless integration and implementation of DevOps practices Proactive Research and Collaboration: Eager to research and utilize company resources like Confluence, find relevant contacts, and reach out to other teams for unknowns. Prepared to independently investigate and resolve challenges. Required F5 Experiences - One or more of these F5 ASM/AWAF Knowledge & Experience: Understanding and practical experience with F5's Application Security Manager (ASM) and Advanced WAF (AWAF), including configuration, management, and troubleshooting of application security policies and web application Firewalls. F5 with API Gateway: Experience: Integrating F5 solutions with API Gateway technologies, demonstrating the ability to secure and manage APIs effectively. Experience in using F5 with Kong API Gateway; managing, and optimizing API traffic through F5 systems. F5 GTM and Proxy Technologies: Knowledge and experience with F5's Global Traffic Manager (GTM) as well as experience with Proxy technologies, including forward and reverse proxies Basic Certificate Management: Knowledge of SSL/TLS certificate management processes, including issuance, renewal, and deployment, within F5 environments. F5 AS3: Experience; Experience with AS3 (Application Services 3 Extension), for declarative automation and orchestration of F5 BIG-IP services. Proficiency in automating the deployment and management of F5 configurations using AS3 Key Experience - Ideal Candidate Profile Technical Expertise in CI/CD Tools: Proficiency in Continuous Integration and Continuous Deployment tools such as Jenkins, CircleCI, Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. Proficiency in Scripting Languages: Strong skills in Scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC tools like Terraform, Ansible, Chef, or Puppet Data Structuring and Management: Advanced skills in managing data using formats like JSON, YAML, XML, and others. Capable of parsing, creating, and maintaining complex data structures for configuration and automation purposes. API Integration and Management: Expertise in querying, integrating, and managing APIs. Capable of constructing and executing API calls for data retrieval, updates, and inter-service communication. Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices in a DevOps environment. Familiarity with security scanning tools, implementing secure coding practices, and ensuring compliance with industry standards Agile and Scrum Methodologies: Experience with Agile and Scrum methodologies. Ability to work in fast-paced, iterative development environments and adapt to changing requirements Networking and Security Fundamentals: Knowledge of networking concepts (eg, TCP/IP, DNS, HTTP/S) and basic security concepts (eg, Firewalls, VPNs, IDS/IPS). Problem-Solving and Analytical Skills: Strong problem-solving skills and ability to analyze complex systems and workflows to propose effective automation solutions. Collaboration and Communication: Excellent collaboration and communication skills. Ability to work effectively in a team and communicate complex technical concepts to both technical and non-technical stakeholders. Project Management Skills: Basic project management skills with the ability to manage timelines, dependencies, and deliverables in a cross-functional environment. Research and Investigative Skills: Motivated to self-educate and explore company resources and external knowledge bases
03/05/2024
Project-based
OLE Description: F5 WAF Engineer - in-depth knowledge of F5 BIG-IP and NGNIX+WAF(Not F5 Platform/network) As an Automation Engineer, you will play a pivotal role in enhancing our IT infrastructure by designing, creating, and maintaining bespoke Continuous Integration/Continuous Deployment (CI/CD) pipelines tailored to specific project needs. This role will have an initial focus on leveraging F5 technologies alongside a broad spectrum of automation and DevOps practices to deliver our automation use cases; however once F5 automaton works have completed, works will progress to other WAF platforms and use cases. You will be responsible for the integration of CI/CD pipelines with solutions developed by other teams, Scripting, and the creation of Infrastructure as Code (IaC) manifests using tools like Terraform and Ansible. Your expertise in Jenkins, JIRA, GitHub, Python, and other relevant technologies will be essential. You should have a solid background in building CI/CD pipelines and a comprehensive understanding of DevOps practices. The ideal candidate should not only have technical proficiency in data structures, automation technologies, API interactions, and cloud services, but also exhibit a strong drive to research, investigate, and collaborate effectively within the organization. Key Responsibilities Developing and Delivering Automation for F5 WAF Platform: In the first instance: Developing and delivering automation solutions specifically for our F5 Web Application Firewall (WAF) platform, aligned with our specific use cases. This involves Scripting, configuring, and deploying automation workflows that enhance security, manageability, and operational efficiency of the F5 WAF environment. CI/CD Pipeline Development: Create, enhance and implement new, customized CI/CD pipelines tailored for specific project use cases, ensuring efficient, automated workflows Pipeline Maintenance: Regularly update and maintain existing CI/CD pipelines to ensure they are efficient, secure, and up-to-date with the latest technology standards Integration of Solutions: Work collaboratively with other teams to integrate their solutions and tools into the CI/CD pipelines effectively, enhancing overall workflow and productivity. IaC Manifests Creation: Develop and maintain Infrastructure as Code (IaC) manifests, predominantly using Terraform, to manage and provision IT infrastructure in a consistent and repeatable manner Tool Proficiency: Utilize and demonstrate expertise in tools such as Jenkins, JIRA, GitHub, and Python, effectively integrating them into the CI/CD processes Script Writing: Write and maintain scripts to automate various aspects of the infrastructure and deployment processes, improving efficiency and reducing the potential for human error. Collaboration and Communication: Collaborate with cross-functional teams, including software development, operations, and quality assurance, to ensure seamless integration and implementation of DevOps practices Proactive Research and Collaboration: Eager to research and utilize company resources like Confluence, find relevant contacts, and reach out to other teams for unknowns. Prepared to independently investigate and resolve challenges. Required F5 Experiences - One or more of these F5 ASM/AWAF Knowledge & Experience: Understanding and practical experience with F5's Application Security Manager (ASM) and Advanced WAF (AWAF), including configuration, management, and troubleshooting of application security policies and web application Firewalls. F5 with API Gateway: Experience: Integrating F5 solutions with API Gateway technologies, demonstrating the ability to secure and manage APIs effectively. Experience in using F5 with Kong API Gateway; managing, and optimizing API traffic through F5 systems. F5 GTM and Proxy Technologies: Knowledge and experience with F5's Global Traffic Manager (GTM) as well as experience with Proxy technologies, including forward and reverse proxies Basic Certificate Management: Knowledge of SSL/TLS certificate management processes, including issuance, renewal, and deployment, within F5 environments. F5 AS3: Experience; Experience with AS3 (Application Services 3 Extension), for declarative automation and orchestration of F5 BIG-IP services. Proficiency in automating the deployment and management of F5 configurations using AS3 Key Experience - Ideal Candidate Profile Technical Expertise in CI/CD Tools: Proficiency in Continuous Integration and Continuous Deployment tools such as Jenkins, CircleCI, Travis CI, GitLab CI, and Bamboo. Ability to configure, manage, and optimize these tools for various project requirements. Proficiency in Scripting Languages: Strong skills in Scripting languages such as Python, Bash, PowerShell. Ability to write and maintain scripts to automate routine tasks and deployments Infrastructure as Code (IaC): Extensive experience in creating and managing infrastructure using code. Proficiency in IaC tools like Terraform, Ansible, Chef, or Puppet Data Structuring and Management: Advanced skills in managing data using formats like JSON, YAML, XML, and others. Capable of parsing, creating, and maintaining complex data structures for configuration and automation purposes. API Integration and Management: Expertise in querying, integrating, and managing APIs. Capable of constructing and executing API calls for data retrieval, updates, and inter-service communication. Version Control Systems: In-depth knowledge of version control systems like Git, including branching strategies, repository management, and integrating with CI/CD pipelines Containerization and Orchestration: Experience with containerization tools such as Docker and orchestration platforms like Kubernetes or Docker Swarm. Understanding of containerized environments and their integration into CI/CD pipelines Cloud Platforms: Familiarity with major cloud platforms like AWS, Azure, or GCP; understanding of cloud-specific services and how to integrate them into CI/CD processes Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk. Ability to set up and maintain monitoring and logging for applications and infrastructure Security Practices in DevOps (DevSecOps): Understanding of security practices in a DevOps environment. Familiarity with security scanning tools, implementing secure coding practices, and ensuring compliance with industry standards Agile and Scrum Methodologies: Experience with Agile and Scrum methodologies. Ability to work in fast-paced, iterative development environments and adapt to changing requirements Networking and Security Fundamentals: Knowledge of networking concepts (eg, TCP/IP, DNS, HTTP/S) and basic security concepts (eg, Firewalls, VPNs, IDS/IPS). Problem-Solving and Analytical Skills: Strong problem-solving skills and ability to analyze complex systems and workflows to propose effective automation solutions. Collaboration and Communication: Excellent collaboration and communication skills. Ability to work effectively in a team and communicate complex technical concepts to both technical and non-technical stakeholders. Project Management Skills: Basic project management skills with the ability to manage timelines, dependencies, and deliverables in a cross-functional environment. Research and Investigative Skills: Motivated to self-educate and explore company resources and external knowledge bases
Network Engineer - Basingstoke, on-site Permanent position Must undergo DV Clearance before starting Job Description The Network Engineer will be part of the Delivery Team and will liaise with the current SMEs for Networking, Infrastructure, Applications and Security as required. They will have a wealth of experience on larger or more complex solutions, demonstrating an understanding of the customers' business and commercial issues. They identify, design and deliver larger or complex solutions to meet challenging requirements. You will be responsible for assisting the Solution Architects with the design and communication of structures to enable and guide the design and development of integrated solutions that meet current and future business needs. Experience Required: Network design (high and low level) Configuring network devices Previous experience Cisco routing and switching devices Demonstrable understanding of OSPF, EIGRP and BGP routing protocols. Demonstrable understanding of NAT, GRE Tunnelling protocol, DMVPN Tunnelling Protocol, Subnetting & Supernetting. Previous troubleshooting and support experience. Previous experience in a Level 4 support role Network operation in an offline environment Desirable Previous experience with Juniper SRX or Fortinet FortiGate Previous experience with Cisco ASA and McAfee MFE appliances Previous experience with some of the following Cisco appliances: Cisco routing 1800,1900,2900,3900 and 4300 series. Cisco switching 3750, 3850 series, 9200 & 9300 series. Please note, candidates will be required to undergo a high level of security clearance before starting this role and must be willing and eligible to do so. Project People is acting as an Employment Agency in relation to this vacancy.
03/05/2024
Full time
Network Engineer - Basingstoke, on-site Permanent position Must undergo DV Clearance before starting Job Description The Network Engineer will be part of the Delivery Team and will liaise with the current SMEs for Networking, Infrastructure, Applications and Security as required. They will have a wealth of experience on larger or more complex solutions, demonstrating an understanding of the customers' business and commercial issues. They identify, design and deliver larger or complex solutions to meet challenging requirements. You will be responsible for assisting the Solution Architects with the design and communication of structures to enable and guide the design and development of integrated solutions that meet current and future business needs. Experience Required: Network design (high and low level) Configuring network devices Previous experience Cisco routing and switching devices Demonstrable understanding of OSPF, EIGRP and BGP routing protocols. Demonstrable understanding of NAT, GRE Tunnelling protocol, DMVPN Tunnelling Protocol, Subnetting & Supernetting. Previous troubleshooting and support experience. Previous experience in a Level 4 support role Network operation in an offline environment Desirable Previous experience with Juniper SRX or Fortinet FortiGate Previous experience with Cisco ASA and McAfee MFE appliances Previous experience with some of the following Cisco appliances: Cisco routing 1800,1900,2900,3900 and 4300 series. Cisco switching 3750, 3850 series, 9200 & 9300 series. Please note, candidates will be required to undergo a high level of security clearance before starting this role and must be willing and eligible to do so. Project People is acting as an Employment Agency in relation to this vacancy.
Principal DBA - SQL, Oracle, Azure Synapse We are looking for Principal Database Administrator to lead an enterprise team undergoing a period of significant growth. After a strong 2023, this insurance organisation is expanding their technical services teams across their multi-platform environment. Working across Microsoft SQL, Oracle DB and Azure Synapse, you will direct this support team, achieving greater operational efficiency across a large estate. The successful candidate will have worked across on-prem Microsoft and Oracle environments, along with exposure to cloud-based services. You'll be a strong communicator and mentor and be comfortable as a technical point of escalation within the database team. This is a great opportunity to lead a team in a very successful financial services company, without the people management responsibilities. You'll be excited by the chance to really scale up this organisation's estate, whilst consistently ensuring stability and security. Whilst insurance sector experience is preferred, experience from other financial services will be considered. Responsibilities Lead a team of Database Administrators as technical expert for enterprise environments Act as escalation point whilst mentoring and supporting team members Support a large multi-platform environment across SQL, Oracle and Synapse Maintain integrations with group-wide applications Work collaboratively with multiple internal departments Requirements Excellent ability in T-SQL, P/L SQL and Powershell Strong knowledge in MS SQL, SSRS, SSIS and SSAS Experience in 24/7 and on-call environments Certification in ITIL along with Microsoft and/or Oracle Awareness of Nutanix tooling, along with Dell DDBoost or Veeam is a bonus Principal DBA - SQL, Oracle, Azure Synapse
03/05/2024
Full time
Principal DBA - SQL, Oracle, Azure Synapse We are looking for Principal Database Administrator to lead an enterprise team undergoing a period of significant growth. After a strong 2023, this insurance organisation is expanding their technical services teams across their multi-platform environment. Working across Microsoft SQL, Oracle DB and Azure Synapse, you will direct this support team, achieving greater operational efficiency across a large estate. The successful candidate will have worked across on-prem Microsoft and Oracle environments, along with exposure to cloud-based services. You'll be a strong communicator and mentor and be comfortable as a technical point of escalation within the database team. This is a great opportunity to lead a team in a very successful financial services company, without the people management responsibilities. You'll be excited by the chance to really scale up this organisation's estate, whilst consistently ensuring stability and security. Whilst insurance sector experience is preferred, experience from other financial services will be considered. Responsibilities Lead a team of Database Administrators as technical expert for enterprise environments Act as escalation point whilst mentoring and supporting team members Support a large multi-platform environment across SQL, Oracle and Synapse Maintain integrations with group-wide applications Work collaboratively with multiple internal departments Requirements Excellent ability in T-SQL, P/L SQL and Powershell Strong knowledge in MS SQL, SSRS, SSIS and SSAS Experience in 24/7 and on-call environments Certification in ITIL along with Microsoft and/or Oracle Awareness of Nutanix tooling, along with Dell DDBoost or Veeam is a bonus Principal DBA - SQL, Oracle, Azure Synapse
Endeavour Recruitment has an excellent permanent position for a Systems Administrator to join a dynamic team based in Winchester. Work environment: To work as a member of the IT Services team, working with and reporting to the Head and Assistant Head of IT Services to analyse, design, implement, maintain, and support IT infrastructure. The environment has an extensive wired and wireless network covering many buildings, consisting of more than 3000 PCs, laptops, Chromebooks and 120 Servers. PCs all run Windows, whilst the Servers run a mixture of VMware, Microsoft Server, and Linux OSs. Responsibilities: Analyse, design, implement, maintain, and support the IT infrastructure - including: Desktop and server applications Desktop and server endpoint security systems Desktop and server OS Deployment of desktops, physical and virtual Servers Network services, Firewall, Switches, wireless and network access control. Network storage and backup. Cloud services System and network analysis, vulnerability scanning, health monitoring and logging services. To act as higher-tier support to the team of IT Technicians, however excellent customer service skills are required as you will be supporting internal and external members. Work with the Head of IT Services to develop IT systems, policies, and good practice. Keep abreast of IT trends, and how they will impact the environment. Ensuring that tasks above are well documented and filed. Producing training materials for users as required. Be willing and able to carry out all the tasks expected of the IT technicians. Conforming to legal requirements, eg Data Protection Act, Abuse of Computers Act, and software licensing agreements, and encouraging other users to do the same. Undertaking training as required. Prioritising the safeguarding and participating in training on safeguarding matters. Contributing to the elimination of unlawful discrimination, harassment, and victimisation; advancing equality of opportunity and fostering good relations between people who share a protected characteristic and those who do not. Any other duties that may be reasonably required. Are you looking for a fun, varied role to grow within a great team? Please get in touch for further details!
03/05/2024
Full time
Endeavour Recruitment has an excellent permanent position for a Systems Administrator to join a dynamic team based in Winchester. Work environment: To work as a member of the IT Services team, working with and reporting to the Head and Assistant Head of IT Services to analyse, design, implement, maintain, and support IT infrastructure. The environment has an extensive wired and wireless network covering many buildings, consisting of more than 3000 PCs, laptops, Chromebooks and 120 Servers. PCs all run Windows, whilst the Servers run a mixture of VMware, Microsoft Server, and Linux OSs. Responsibilities: Analyse, design, implement, maintain, and support the IT infrastructure - including: Desktop and server applications Desktop and server endpoint security systems Desktop and server OS Deployment of desktops, physical and virtual Servers Network services, Firewall, Switches, wireless and network access control. Network storage and backup. Cloud services System and network analysis, vulnerability scanning, health monitoring and logging services. To act as higher-tier support to the team of IT Technicians, however excellent customer service skills are required as you will be supporting internal and external members. Work with the Head of IT Services to develop IT systems, policies, and good practice. Keep abreast of IT trends, and how they will impact the environment. Ensuring that tasks above are well documented and filed. Producing training materials for users as required. Be willing and able to carry out all the tasks expected of the IT technicians. Conforming to legal requirements, eg Data Protection Act, Abuse of Computers Act, and software licensing agreements, and encouraging other users to do the same. Undertaking training as required. Prioritising the safeguarding and participating in training on safeguarding matters. Contributing to the elimination of unlawful discrimination, harassment, and victimisation; advancing equality of opportunity and fostering good relations between people who share a protected characteristic and those who do not. Any other duties that may be reasonably required. Are you looking for a fun, varied role to grow within a great team? Please get in touch for further details!
Position Overview: The Head of IT will play a crucial role in owning the IT and Security strategy for the organisation through an exciting period of growth. Leading a team of talented IT professionals, the successful candidate will oversee the design, implementation, and maintenance of systems, networks, and applications, providing technical expertise and strategic direction to support the company's growth and operational efficiency. The role will focus on; Driving productivity gains throughout the business by leveraging the use of technology. Driving the Infrastructure modernisation programme of work - centred on Azure/M365 solutions. Manage, develop and motivate the IT team to deliver a best-in-class service function. The alignment of technical and business objectives to support continued revenue growth across the organisation Development and management of the existing IT systems. Security and integrity of system information Key Responsibilities Team Leadership: Develop and motivate immediate team to achieve IT objectives/agreed SLAs. Lead from the front and be prepared to get "hands dirty". Ability to business partner with all internal stakeholders and be an effective communicator. Develop and maintain positive relationships with all key partners and stakeholders. Clear and open reporting to wider business. Strategic planning: Evaluate business requirements and identify solutions and opportunities to both meet their requirements and drive value add activities. Build on current vision and continue to develop rolling three-year plan. Involve all relevant stakeholders in the planning stage and provide clear communication of the plan Budget Control Own P&L and work with finance on annual and quarterly budgeting cycles. Effectively manage the P&L to agreed budgets. Ability to communicate value add (ROI) of projects. Security and Compliance: Implement and enforce mechanisms that support company security policies and procedures to safeguard the integrity and confidentiality of company data. Stay abreast of industry best practices and regulatory requirements. Project Management: Lead IT projects from inception to completion, ensuring timely delivery within budget and meeting business requirements. Collaborate with stakeholders to define project scope, goals, and deliverables. Vendor/Supplier Management: Manage relationships with IT vendors, ensuring effective communication and timely resolution of issues. Evaluate and recommend new technologies and solutions to enhance IT capabilities. Qualifications/Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Head of IT, with a focus on Windows environments. Strong leadership and team management skills. Experience implementing SaaS solutions - Azure/M365 adoption and associated security. Proven track record of leading and developing high performing IT teams. Experience of leading and delivering complex projects. History of managing multi-site Infrastructure & IT Operations environments Leading change in an IT environment. Multiple locations/Manufacturing experience is desirable. Experience in a high growth SME environment is highly desirable Project management skills and familiarity with ITIL best practices. Security certifications (eg, CISSP, CompTIA Security+) are a plus. Effective communicator at all levels - both internal and external Problem solver Innovative Strong negotiator. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
03/05/2024
Full time
Position Overview: The Head of IT will play a crucial role in owning the IT and Security strategy for the organisation through an exciting period of growth. Leading a team of talented IT professionals, the successful candidate will oversee the design, implementation, and maintenance of systems, networks, and applications, providing technical expertise and strategic direction to support the company's growth and operational efficiency. The role will focus on; Driving productivity gains throughout the business by leveraging the use of technology. Driving the Infrastructure modernisation programme of work - centred on Azure/M365 solutions. Manage, develop and motivate the IT team to deliver a best-in-class service function. The alignment of technical and business objectives to support continued revenue growth across the organisation Development and management of the existing IT systems. Security and integrity of system information Key Responsibilities Team Leadership: Develop and motivate immediate team to achieve IT objectives/agreed SLAs. Lead from the front and be prepared to get "hands dirty". Ability to business partner with all internal stakeholders and be an effective communicator. Develop and maintain positive relationships with all key partners and stakeholders. Clear and open reporting to wider business. Strategic planning: Evaluate business requirements and identify solutions and opportunities to both meet their requirements and drive value add activities. Build on current vision and continue to develop rolling three-year plan. Involve all relevant stakeholders in the planning stage and provide clear communication of the plan Budget Control Own P&L and work with finance on annual and quarterly budgeting cycles. Effectively manage the P&L to agreed budgets. Ability to communicate value add (ROI) of projects. Security and Compliance: Implement and enforce mechanisms that support company security policies and procedures to safeguard the integrity and confidentiality of company data. Stay abreast of industry best practices and regulatory requirements. Project Management: Lead IT projects from inception to completion, ensuring timely delivery within budget and meeting business requirements. Collaborate with stakeholders to define project scope, goals, and deliverables. Vendor/Supplier Management: Manage relationships with IT vendors, ensuring effective communication and timely resolution of issues. Evaluate and recommend new technologies and solutions to enhance IT capabilities. Qualifications/Experience: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Head of IT, with a focus on Windows environments. Strong leadership and team management skills. Experience implementing SaaS solutions - Azure/M365 adoption and associated security. Proven track record of leading and developing high performing IT teams. Experience of leading and delivering complex projects. History of managing multi-site Infrastructure & IT Operations environments Leading change in an IT environment. Multiple locations/Manufacturing experience is desirable. Experience in a high growth SME environment is highly desirable Project management skills and familiarity with ITIL best practices. Security certifications (eg, CISSP, CompTIA Security+) are a plus. Effective communicator at all levels - both internal and external Problem solver Innovative Strong negotiator. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data: Security alert: scammers are currently targeting jobseekers. Robert Half do not ask candidates for a fee or request candidates to send applications through instant messaging services such as WhatsApp or Telegram. Learn how to protect yourself by visiting our website:
Junior Application Support Specialist Hursley - 5 days a week 12 months Active SC security clearance required £400 per day inside IR35 Essential skills and experience: *Must have valid UK driving licence* Fundamental UNIX Shell Scripting skills IBM i2 Analytic and iBridge applications IBM MQ Applications NetCool Application monitoring Strong technical aptitude. Interest in building knowledge across a wide range of technologies. Mature and structured approach to working. Ability to maintain clear problem solving under pressure. If you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed.
03/05/2024
Project-based
Junior Application Support Specialist Hursley - 5 days a week 12 months Active SC security clearance required £400 per day inside IR35 Essential skills and experience: *Must have valid UK driving licence* Fundamental UNIX Shell Scripting skills IBM i2 Analytic and iBridge applications IBM MQ Applications NetCool Application monitoring Strong technical aptitude. Interest in building knowledge across a wide range of technologies. Mature and structured approach to working. Ability to maintain clear problem solving under pressure. If you meet the above requirements, please apply for the vacancy to be contacted by an Experis Consultant. If you haven't been contacted within 2 weeks of application, please consider the vacancy closed.
Harvey Nash Plc
Newcastle Upon Tyne, Tyne And Wear
We're excited to present a fantastic opportunity for a Cloud Operations Engineer to make a significant impact in a global market leading organisation. This organisation is progressing through a significant amount of enterprise wide change. Joining the newly formed team of Engineers within Cloud Operations, this role represents a fantastic opportunity to develop and mature the organisation's Cloud Platform and solutions, ensuring that cloud environments are managed efficiently, ensuring reliability, availability and secure. Operating and deploying cloud based applications and services. Key Responsibilities Provisioning and Configuration: Set up and maintain cloud resources (eg, virtual machines, storage, databases), ensuring scalability and reliability of the cloud environment. Monitoring and Optimization: Implement monitoring solutions to track performance of cloud services. Availability and Reliability: Proactively monitor for performance issues, outages, and disruptions. Conduct regular backups and disaster recovery planning to ensure data integrity. Security and Compliance: Apply security best practices to protect cloud resources and data. Who You'll Be You'll have expert knowledge and proven experience managing Cloud Environments, specifically Azure. A strong communicator, capable of fostering strong connections with both team members and stakeholders. You will have Knowledge/Experience of Infrastructure as Code You will have excellent problem-solving skills You will possess Microsoft Azure Certifications This is an excellent opportunity offering career progression, training and a fantastic benefits package for the successful candidate. Contact us today for further discussion.
03/05/2024
Full time
We're excited to present a fantastic opportunity for a Cloud Operations Engineer to make a significant impact in a global market leading organisation. This organisation is progressing through a significant amount of enterprise wide change. Joining the newly formed team of Engineers within Cloud Operations, this role represents a fantastic opportunity to develop and mature the organisation's Cloud Platform and solutions, ensuring that cloud environments are managed efficiently, ensuring reliability, availability and secure. Operating and deploying cloud based applications and services. Key Responsibilities Provisioning and Configuration: Set up and maintain cloud resources (eg, virtual machines, storage, databases), ensuring scalability and reliability of the cloud environment. Monitoring and Optimization: Implement monitoring solutions to track performance of cloud services. Availability and Reliability: Proactively monitor for performance issues, outages, and disruptions. Conduct regular backups and disaster recovery planning to ensure data integrity. Security and Compliance: Apply security best practices to protect cloud resources and data. Who You'll Be You'll have expert knowledge and proven experience managing Cloud Environments, specifically Azure. A strong communicator, capable of fostering strong connections with both team members and stakeholders. You will have Knowledge/Experience of Infrastructure as Code You will have excellent problem-solving skills You will possess Microsoft Azure Certifications This is an excellent opportunity offering career progression, training and a fantastic benefits package for the successful candidate. Contact us today for further discussion.