Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
15/05/2024
Full time
The role As QHSSE Coordinator you are responsible for SEA-KIT s Quality, Health, Safety, Security and Environment (QHSSE) guidelines and for ensuring that the company is in compliance with published policies, supporting standards and legislative framework. You coordinate and lead the QHSSE assurance activities for SEA-KIT, ensuring high standards are achieved and maintained across the company and its activities, and specifically the build/fit-out of its uncrewed surface vessels (USVs). Lead investigations into HSE incidents and near misses and coordinate the actions and responses arising from these. Provide day-to-day QHSSE advice and active assistance by ensuring that good standards and practices are identified, developed, implemented and adhered to across SEA-KIT s design, build, testing and commissioning operations. Define, lead and oversee all Quality processes in SEA-KIT s design, build and testing of its products. Perform quality checks and instigate problem solving to investigate and resolve any issues identified. Review non-conformances identified during the build/fit-out and testing of SEA-KIT s USVs to improve the quality of the vessel design and build. Lead the company s ISO 9001 annual recertification, and oversee external reviews and audits to maintain certification. Lead the implementation of required management systems and processes required for additional ISO certifications. SEA-KIT s head office and manufacturing yard is based in Tollesbury, Essex. The role involves some travel within the UK and potentially to international locations. Responsibilities Generate and cultivate a strong culture of HSE awareness. Management, implementation, maintenance and continuous improvement of the company s management system. Ensure adherence to relevant procedures. Lead investigations into HSE incidents and near misses. Review all Hazard Observation Cards (HOCs) submitted. Coordinate and close out actions arising from incidents, near misses and HOCs. Generate and cultivate a culture of high quality workmanship and rigorous testing standards. Ensure adherence by SEA-KIT staff and contracted third parties to relevant procedures Ensure QA/QC processes are in place and followed by all relevant staff. Monitor and update the company on updates or changes to legal or regulatory requirements. Oversee updates to and reviews of the company s Quality and HSE processes and procedures. Review all non-conformances and ensure follow-up actions are implemented and closed out. Provide management updates at monthly HSE meetings and monthly/quarterly management team meetings, including reports for senior management as required. Who we re looking for You have the right to work in the UK. You hold a bachelor s degree (preferred). You have a track record in Quality and HSE systems and assurance, with relevant QHSSE experience in a manufacturing and/or project environment. Experience in the implementation and maintenance of a Quality Management System/ ISO certification is essential. You are well organised, with good analytical and critical thinking skills, and excellent verbal and written communication skills. You are flexible and will be available for weekend or out of hours work, and willing and able to travel as required. What we offer SEA-KIT provides a positive and dynamic work environment. You will gain immersive experience, where you will be at the forefront of cutting-edge technology, with opportunities to stretch and develop yourself whilst contributing to the emerging market of carbon-reducing uncrewed surface vessels.
Lead Security Architect - Application £80,000 - £95,000 + 10% bonus + benefits West Yorkshire/Hybrid Fruition IT are partnering with a UK national services provider who are going through change, and looking to bring in a skilled Architect to help them set direction and architecture roadmaps for Security. This is a newly created role within a structure of SME domain specialists. This a fantastic opportunity to really take ownership of the application security domain and really be autonomous within that space, own the process and the business unit. The role: Setting the direction and implementing architecture roadmaps. Be the SME specialist for Application Security. Be autonomous within Application Security, take true ownership! Establish and advocate for security best practices. Take a lead, own the process and business unit. Act as the go-to expert, leveraging internal and external resources to deliver top-tier solutions at the highest standard. Experience: Software/Application focused security Migration to Cloud would be ideal Offer: Base Salary: £80,000 - £95,000 (negotiable depending on experience) Bonus: 10% Benefits: Pension, Healthcare, Life Assurance, etc Role requires the chosen individual to be present one day every two weeks in the West Yorkshire head office. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
15/05/2024
Full time
Lead Security Architect - Application £80,000 - £95,000 + 10% bonus + benefits West Yorkshire/Hybrid Fruition IT are partnering with a UK national services provider who are going through change, and looking to bring in a skilled Architect to help them set direction and architecture roadmaps for Security. This is a newly created role within a structure of SME domain specialists. This a fantastic opportunity to really take ownership of the application security domain and really be autonomous within that space, own the process and the business unit. The role: Setting the direction and implementing architecture roadmaps. Be the SME specialist for Application Security. Be autonomous within Application Security, take true ownership! Establish and advocate for security best practices. Take a lead, own the process and business unit. Act as the go-to expert, leveraging internal and external resources to deliver top-tier solutions at the highest standard. Experience: Software/Application focused security Migration to Cloud would be ideal Offer: Base Salary: £80,000 - £95,000 (negotiable depending on experience) Bonus: 10% Benefits: Pension, Healthcare, Life Assurance, etc Role requires the chosen individual to be present one day every two weeks in the West Yorkshire head office. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
15/05/2024
Full time
The successful Senior level Data Scientist/Engineer will ideally have experience within the Secure Gov domain, as well as: Hands-on experience of applying data science or machine learning in Defence/Security, wider public sector, or in academia Deep understanding of the Defence and Security sector and the opportunities for transformation from AI & Data One programming language eg Java/Python/C++ Cloud technologies (AWS) Machine Learning knowledge Above and beyond technology - we're looking for passionate Engineers, providing complex, innovative solutions to Customers. Always looking to improve and seek out the best approach. In return, you will be working for a leading Management Consultancy with clients spanning Central Government, Law Enforcement, Justice & Home Affairs. Being involved with cutting-edge projects, Consultants refer to as Futuristic, your technical skills will truly be kept ahead of the curve. Active DV clearance is required for this position. For more information, please don't hesitate to get in touch - (see below)
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
15/05/2024
Full time
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
15/05/2024
Full time
The Information Manager will be a key figure within our Analytics department in the public sector, based in Cardiff. They will oversee data management, ensuring accuracy, compliance and utilisation of information to drive strategic decisions. Client Details Our client is a large public sector company in the transport industry. With over 1,000 employees, they are headquartered in Cardiff and committed to improving transport services across Wales. Description Transport for Wales (TfW) is the not-for-profit company driving forward the Welsh Government's vision of a high-quality, safe, integrated, affordable and accessible transport network in Wales. Our mission is to 'Keep Wales Moving' by providing customer-focused services, expert advice, and infrastructure investment. The Information Management of the IT & Digital Services Directorate will lead, shape and delivery information management and records management in TfW Enterprise Information Management System The Head of Information Management will support the development of a wider strategy within TfW by creating an Information Management strategy, standards and governance to ensure compliance with legal and regulatory requirements reflects best practice, is in line with our strategic objectives and continuous improvement. Develop and implement data management strategies and processes. Maintain data governance and compliance with GDPR. Oversee the collection, storage, and analysis of business data. Collaborate with IT team to ensure data security and solve technical issues. Prepare detailed reports for stakeholders based on data analysis. Identify and recommend new ways to streamline business processes. Ensure data accuracy and consistency across all platforms. Liaise with different departments to gather information and fulfil data requirements. Profile A successful Information Manager should have: * Strong knowledge of information protection, information security, automation, information architecture and governance principals * Excellent strategic thinking and advisory skills * Ability to collaborate effectively with cross-functional teams. * In depth understanding of industry best practices and emerging trends in information management * A thorough understanding and demonstrable experience of working on the Public Records Act and other relevant regulations * Strong knowledge on Microsoft environment on the use of Microsoft as an Enterprise Information Management System. Job Offer A competitive salary in the region of £54,000 per annum. Generous holiday entitlement. Commitment to professional development and career progression. A positive and collaborative company culture, with a focus on employee wellbeing. We strongly encourage talented individuals who believe they can meet the expectations of this role to apply. This is an excellent opportunity to grow professionally within the public sector in Cardiff.
Position Available: Manufacturing Technician Location: Henlow & Dynamic Working Hours Salary: Up to £39,000 + Paid Overtime & Company Bonus & Very Good Pension Package + Subsidised Canteen About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We are currently looking for a Mechanical Manufacturing Technician to work in our team. In this role you will support the team in: Ensuring manufacturing build times are met. Maintaining a safe working environment and a good housekeeping policy. Ensuring compliance across all stages of the manufacturing process. Communicating best practice to other team members. Maintaining product certification and approval via regular audits. Certifying products in line with product certification procedures. What we need from you: Formal technical engineering/craft apprenticeship to NVQ Level 3/TR23/TR21 is essential for this role. Formal further education certificate to HNC or equivalent certificate is a plus. Ideally have manual handling training but not essential, training can be provided. Ideally training (Including overhead cranes) but not essential, training can be provided. The successful candidate should be a team player who is able to demonstrate customer focus. They should also have proven planning and organising skills and be flexible and adaptable. If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
15/05/2024
Full time
Position Available: Manufacturing Technician Location: Henlow & Dynamic Working Hours Salary: Up to £39,000 + Paid Overtime & Company Bonus & Very Good Pension Package + Subsidised Canteen About the role We are a leading defence company who are at the forefront of innovation in the industry and your work will have a direct impact on the safety and security of the UK & our allies. We are currently looking for a Mechanical Manufacturing Technician to work in our team. In this role you will support the team in: Ensuring manufacturing build times are met. Maintaining a safe working environment and a good housekeeping policy. Ensuring compliance across all stages of the manufacturing process. Communicating best practice to other team members. Maintaining product certification and approval via regular audits. Certifying products in line with product certification procedures. What we need from you: Formal technical engineering/craft apprenticeship to NVQ Level 3/TR23/TR21 is essential for this role. Formal further education certificate to HNC or equivalent certificate is a plus. Ideally have manual handling training but not essential, training can be provided. Ideally training (Including overhead cranes) but not essential, training can be provided. The successful candidate should be a team player who is able to demonstrate customer focus. They should also have proven planning and organising skills and be flexible and adaptable. If you would like to know more details about the position or want to register your interest, hit apply below. We'd love to hear from you!
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
13/05/2024
Full time
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
Permanent Role Hybrid (3 days per week in-office) up to £65,000 salary My client is a very successful Fintech who specialise in low-latency cloud and analytic technologies, providing a global platform enabling financial service clients to experience the full benefit of on demand cloud services. They are about to embark on a scale-up phase due to significant demand and success. They have a fantastic opportunity for an Infrastructure Manager to join them at their unique head office with excellent perks and benefits. This role will suit an experienced IT Manager or a Senior Infrastructure Engineer who's used to managing the infrastructure in a hands-off capacity, or you're keen to move into a hands-off role: whether it be projects/migrations/maintenance, you'll have oversight of infrastructure initiatives end-to-end to ensure successful ensuring delivery. This will involve planning, scheduling, resource management and liaising with other business areas to understand requirements. Responsibilities : Knowledge of Technical Infrastructure Delivery Coordinate hardware/OS patching and upgrade activities Liaise with Security, Support and Delivery teams for requirement gathering Resource management/coordination Produce progress reports for Board Key Skills Experience of Managing/coordinating preventative/planned/reactive Infrastructure maintenance. ITIL Foundations Planning/scheduling skills (MSP or equivalent) Escalation & Priority Management Stakeholder Engagement (Internal/External) Requirements Gathering Knowledge of JIRA (Practical & Development) Process Mapping Management weekly Jira delivery MI Deal with issues as they arise If you're keen on a new challenge and you have a background in Infrastructure/IT Management, please apply!
13/05/2024
Full time
Permanent Role Hybrid (3 days per week in-office) up to £65,000 salary My client is a very successful Fintech who specialise in low-latency cloud and analytic technologies, providing a global platform enabling financial service clients to experience the full benefit of on demand cloud services. They are about to embark on a scale-up phase due to significant demand and success. They have a fantastic opportunity for an Infrastructure Manager to join them at their unique head office with excellent perks and benefits. This role will suit an experienced IT Manager or a Senior Infrastructure Engineer who's used to managing the infrastructure in a hands-off capacity, or you're keen to move into a hands-off role: whether it be projects/migrations/maintenance, you'll have oversight of infrastructure initiatives end-to-end to ensure successful ensuring delivery. This will involve planning, scheduling, resource management and liaising with other business areas to understand requirements. Responsibilities : Knowledge of Technical Infrastructure Delivery Coordinate hardware/OS patching and upgrade activities Liaise with Security, Support and Delivery teams for requirement gathering Resource management/coordination Produce progress reports for Board Key Skills Experience of Managing/coordinating preventative/planned/reactive Infrastructure maintenance. ITIL Foundations Planning/scheduling skills (MSP or equivalent) Escalation & Priority Management Stakeholder Engagement (Internal/External) Requirements Gathering Knowledge of JIRA (Practical & Development) Process Mapping Management weekly Jira delivery MI Deal with issues as they arise If you're keen on a new challenge and you have a background in Infrastructure/IT Management, please apply!
Global Technology Solutions Ltd
Aldermaston, Berkshire
SC Cleared Windows O/S Build Engineer £48,925p/a + £2000p/a DV allowance standard office hours Aldermaston, Reading SC clearance must be held and available to progress on DV clearance Purpose of the role We are looking for customer-focused and enthusiastic Windows O/S build Engineer to join our Infrastructure and Tooling Team. Day to day tasks include developing customer software builds to a high standard, covering new build creation, new hardware models and build updates. Finally overseeing the deployment of the build and transitioning support to the BAU resolver Teams. You should have a genuine interest in solving people's IT issues and empathetic to customer needs and requirements. You should possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers IT Leadership. Our organisation firmly believes is building progression and developing people at all levels. Part of the role is to coach individuals and facilitate plans training so that people can perform to the best of their abilities. * Determine and document technical build specifications * Automation of existing process * Maintaining security standards * Writing, editing and testing policies with customer service always in mind. * Provide diagnosis and troubleshooting in the event of Incidents and Problems arising from the Standard Builds. * Build and actively maintain relationships with key department heads. Be a credible communicator with the customer at all levels * Drive Service Management best-practice and ITIL process compliance across the business * Drive continuous service improvement * Planning and execution of customer site deployments from build, through go-live and into operational support * QA/UAT The site benefits from a restaurant, cafe, parking and good public transport links. As a company employee you'll have access to a large library of courses and accreditations to help further your skills and development. Benefits include workplace pension scheme, life insurance, health cashback plan, holiday insurance, private medical cover (medical cover comes in to effect after 6 months service) DESIRABLE SKILLS/QUALIFICATIONS: * Deployment using: o SYSPREP o Unattended installs using unattend.txt and WINNT.SIF o RIS - Remote Installation Services o ADS - Automated Deployment Services o WDS - Windows Deployment Server o WAIK - Windows Automated Installation Kit o SCCM - System Centre Configuration manager 2012/2016 o MDT - Microsoft Deployment Tool * Security and Patching using: o Unattended and silent Scripting o SUS1.1 Software Update Services o WSUS Windows Software Update services o SCCM - System Centre Configuration manager 2012/2016 * Operating systems and service packs: o Windows 10 and year update releases o Windows Server 2012/2016/2019 o Tuning, securing, troubleshooting, printing, blue screen debugging, maintaining bios & firmware upgrades. * AD and Group Policy: o Knowledge of Active Directory and the creation of Groups, OU, and Group Policy Objects * Fault diagnosis and error checking: o Knowledge for troubleshooting, Fault Diagnosis, and error checking within SCCM, AD, MDT, Windows OS, and Sys Internals applications. * Awareness of ITIL Change and Release Management As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advise covering a range of areas including mental health and financial support Apply now for consideration! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
13/05/2024
Full time
SC Cleared Windows O/S Build Engineer £48,925p/a + £2000p/a DV allowance standard office hours Aldermaston, Reading SC clearance must be held and available to progress on DV clearance Purpose of the role We are looking for customer-focused and enthusiastic Windows O/S build Engineer to join our Infrastructure and Tooling Team. Day to day tasks include developing customer software builds to a high standard, covering new build creation, new hardware models and build updates. Finally overseeing the deployment of the build and transitioning support to the BAU resolver Teams. You should have a genuine interest in solving people's IT issues and empathetic to customer needs and requirements. You should possess good written and verbal communication skills and be willing to collaborate with the wider IT support teams and help us develop a strong partnership with our customers IT Leadership. Our organisation firmly believes is building progression and developing people at all levels. Part of the role is to coach individuals and facilitate plans training so that people can perform to the best of their abilities. * Determine and document technical build specifications * Automation of existing process * Maintaining security standards * Writing, editing and testing policies with customer service always in mind. * Provide diagnosis and troubleshooting in the event of Incidents and Problems arising from the Standard Builds. * Build and actively maintain relationships with key department heads. Be a credible communicator with the customer at all levels * Drive Service Management best-practice and ITIL process compliance across the business * Drive continuous service improvement * Planning and execution of customer site deployments from build, through go-live and into operational support * QA/UAT The site benefits from a restaurant, cafe, parking and good public transport links. As a company employee you'll have access to a large library of courses and accreditations to help further your skills and development. Benefits include workplace pension scheme, life insurance, health cashback plan, holiday insurance, private medical cover (medical cover comes in to effect after 6 months service) DESIRABLE SKILLS/QUALIFICATIONS: * Deployment using: o SYSPREP o Unattended installs using unattend.txt and WINNT.SIF o RIS - Remote Installation Services o ADS - Automated Deployment Services o WDS - Windows Deployment Server o WAIK - Windows Automated Installation Kit o SCCM - System Centre Configuration manager 2012/2016 o MDT - Microsoft Deployment Tool * Security and Patching using: o Unattended and silent Scripting o SUS1.1 Software Update Services o WSUS Windows Software Update services o SCCM - System Centre Configuration manager 2012/2016 * Operating systems and service packs: o Windows 10 and year update releases o Windows Server 2012/2016/2019 o Tuning, securing, troubleshooting, printing, blue screen debugging, maintaining bios & firmware upgrades. * AD and Group Policy: o Knowledge of Active Directory and the creation of Groups, OU, and Group Policy Objects * Fault diagnosis and error checking: o Knowledge for troubleshooting, Fault Diagnosis, and error checking within SCCM, AD, MDT, Windows OS, and Sys Internals applications. * Awareness of ITIL Change and Release Management As an Employee you will benefit from: * Flexible benefits including, private medical and health insurance, basic cover paid by employer * Free eye test vouchers * Company pension scheme * Income protection after 6 months' service should you be off work due to serious illness * 23 days holiday rising by 1 day per year to max 25 * Option to purchase/sell additional holiday * Life insurance * Employee Assistance Programme, free confidential advise covering a range of areas including mental health and financial support Apply now for consideration! "In applying for this position, you consent to your personal data being shared with the specified employer and for your details to remain with GTS for as long as is necessary to process your application. See our Privacy Notice for full information Global Technology Solutions is acting as an Employment Agency in relation to this vacancy.
Quality Engineer - £30 per hour inside ir35 - 6 months (Extension highly likely) - Bolton - one stage interview - Sector: Aerospace & Defence Yolk recruitment is recruiting for a quality engineer to work with a cutting-edge aerospace and defence client leading global innovations within there industry. Due to the security nature of the projects the client can only accept candidates holding a sole British passport and eligible to undergo SC security clearance. Responsibilities: Frontline provision of non-conformance management supporting the Manufacturing functions, including the administration of non-conformities and containment activities Collation and analysis of non-conformance data through the business tool, Google NLP, highlighting any adverse trends and risks to the business and also opportunities for improvement. This is to include the implementation and verification of permanent corrective actions. The collation of business KPI's for communication at all levels Data analysing to include CQN (Rework/Scrap), returns and yields. Supporting the successful transfer of new products into manufacturing, analysing historical data and using lessons learnt Facilitation of non-conformance meetings at all levels from Shop Floor to Manufacturing Heads, providing information concerning products and escalation of issues Managing inscapes between business units within Manufacturing Core Skills: Ideally qualified to minimum HNC/HND in relevant subject or with relevant work experience Demonstrate analytical skills with the ability to use data to identify trends and drive improvements. Ability and confidence to report to all levels of the business. Good planning and organising skills to ensure multiple tasks are prioritised and monitored to deliver set objectives. Desirable Skills: Previous experience within the aerospace defence or manufacturing industry.
13/05/2024
Project-based
Quality Engineer - £30 per hour inside ir35 - 6 months (Extension highly likely) - Bolton - one stage interview - Sector: Aerospace & Defence Yolk recruitment is recruiting for a quality engineer to work with a cutting-edge aerospace and defence client leading global innovations within there industry. Due to the security nature of the projects the client can only accept candidates holding a sole British passport and eligible to undergo SC security clearance. Responsibilities: Frontline provision of non-conformance management supporting the Manufacturing functions, including the administration of non-conformities and containment activities Collation and analysis of non-conformance data through the business tool, Google NLP, highlighting any adverse trends and risks to the business and also opportunities for improvement. This is to include the implementation and verification of permanent corrective actions. The collation of business KPI's for communication at all levels Data analysing to include CQN (Rework/Scrap), returns and yields. Supporting the successful transfer of new products into manufacturing, analysing historical data and using lessons learnt Facilitation of non-conformance meetings at all levels from Shop Floor to Manufacturing Heads, providing information concerning products and escalation of issues Managing inscapes between business units within Manufacturing Core Skills: Ideally qualified to minimum HNC/HND in relevant subject or with relevant work experience Demonstrate analytical skills with the ability to use data to identify trends and drive improvements. Ability and confidence to report to all levels of the business. Good planning and organising skills to ensure multiple tasks are prioritised and monitored to deliver set objectives. Desirable Skills: Previous experience within the aerospace defence or manufacturing industry.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
10/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
A Lead Dynamics 365 Engineer working alongside partners in a Tech for Good company in the environmental space. Client Details The company itself are fully carbon neutral and works in the environmental space. They deliver a range of services including solar panels and electric car charging points. This is a hybrid role where you will WFH and travel to the Billericay office twice a month. Description Responsibilities of the role: To design, build and configure the Microsoft Dynamics 365 components required to meet the business plan Accountable for the non functional performance of the Microsoft Dynamics and Power Platform (accessibility, performance, scale-ability, security and resilience) Technical collaboration with D365 partners This is a mixed role of working out the solution alongside implementation and you will be the most senior person in Dynamics in the organisation Responsible for the technical definition of work packages in the D365 transformation programme that will enable the delivery of the Technology Transformation Roadmap and Business Plan goals Profile Must haves: Experience of solution architecture/design of ideally D365 CE and Finance, if not both then an expert in one and integrated with the other/knowledge of the other and willing to learn D365 dual use rights Familiar with whole Power Platform, not just Dynamics Worked in a medium sized business and lead the technical aspect Successfully worked with partners Experience of utilising D365 to deliver business outcomes such as improved revenue, efficiency and cost reduction Experience with customising and configuring D365 apps, tables, processes and workflows Previous experience effectively communicating a complex transformation or technology road to a range of stakeholders including Executive Leadership, whole IT division and corporate audience Knowledge of Azure DevOps solution control, pipelines and release processes Job Offer Hybrid working role with travel to the office twice a month Yearly bonus Nursery vouchers Cycle to work scheme Subsidised GYM nationally or free access at Head Office Training, development, coaching within their Leadership academy Job specific accreditation's Medigold employee support
10/05/2024
Full time
A Lead Dynamics 365 Engineer working alongside partners in a Tech for Good company in the environmental space. Client Details The company itself are fully carbon neutral and works in the environmental space. They deliver a range of services including solar panels and electric car charging points. This is a hybrid role where you will WFH and travel to the Billericay office twice a month. Description Responsibilities of the role: To design, build and configure the Microsoft Dynamics 365 components required to meet the business plan Accountable for the non functional performance of the Microsoft Dynamics and Power Platform (accessibility, performance, scale-ability, security and resilience) Technical collaboration with D365 partners This is a mixed role of working out the solution alongside implementation and you will be the most senior person in Dynamics in the organisation Responsible for the technical definition of work packages in the D365 transformation programme that will enable the delivery of the Technology Transformation Roadmap and Business Plan goals Profile Must haves: Experience of solution architecture/design of ideally D365 CE and Finance, if not both then an expert in one and integrated with the other/knowledge of the other and willing to learn D365 dual use rights Familiar with whole Power Platform, not just Dynamics Worked in a medium sized business and lead the technical aspect Successfully worked with partners Experience of utilising D365 to deliver business outcomes such as improved revenue, efficiency and cost reduction Experience with customising and configuring D365 apps, tables, processes and workflows Previous experience effectively communicating a complex transformation or technology road to a range of stakeholders including Executive Leadership, whole IT division and corporate audience Knowledge of Azure DevOps solution control, pipelines and release processes Job Offer Hybrid working role with travel to the office twice a month Yearly bonus Nursery vouchers Cycle to work scheme Subsidised GYM nationally or free access at Head Office Training, development, coaching within their Leadership academy Job specific accreditation's Medigold employee support
Sanderson Government & Defence
Gateshead, Tyne And Wear
Principal Engineer Gateshead (Onsite) £40k - £55k DOE Role details: We are working with a Defence Consultancy who provide innovative and complex defence solutions for land, sea and air. They design and build ruggedised electronic solutions for a wide range of applications and purposes. They are looking for a Principal Engineer to lead on all technical and engineering matters. Providing design, development, delivery and in-service support on a range of systems including Communications Information Services, Fighting Vehicles and Electronic Warfare. Responsibilities: Providing day to day technical and engineering consultancy. Liaison with clients, suppliers, Project Managers, senior managers, and other product & project stakeholders. Line Management of designated staff. Providing authorisation of documents and drawings pertinent to the designated field/product/project. Preparation of, and leading of various Reviews Requirements: Technical capability and an awareness of new developments in the associated field of engineering Ability to attend and lead client meetings and present visual presentations. Ability to breakdown tasks into a SOW and delegate tasks accordingly Competent to use a configuration management application to approve and direct document production. Eligibility: To be considered for the role, you must be eligible for UK Security Clearance.
09/05/2024
Full time
Principal Engineer Gateshead (Onsite) £40k - £55k DOE Role details: We are working with a Defence Consultancy who provide innovative and complex defence solutions for land, sea and air. They design and build ruggedised electronic solutions for a wide range of applications and purposes. They are looking for a Principal Engineer to lead on all technical and engineering matters. Providing design, development, delivery and in-service support on a range of systems including Communications Information Services, Fighting Vehicles and Electronic Warfare. Responsibilities: Providing day to day technical and engineering consultancy. Liaison with clients, suppliers, Project Managers, senior managers, and other product & project stakeholders. Line Management of designated staff. Providing authorisation of documents and drawings pertinent to the designated field/product/project. Preparation of, and leading of various Reviews Requirements: Technical capability and an awareness of new developments in the associated field of engineering Ability to attend and lead client meetings and present visual presentations. Ability to breakdown tasks into a SOW and delegate tasks accordingly Competent to use a configuration management application to approve and direct document production. Eligibility: To be considered for the role, you must be eligible for UK Security Clearance.