Senior AI Engineer Salary 75000 - 85000 Location: London Nw10 (Hybrid/Flexible 3 days on site) Type: Full-time ITH Systems, an ITH Group company, are looking for a Senior AI Engineer to join our growing development team at an exciting stage of our technology transformation. This is a high-impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership, you'll act as a key voice in Responsible AI, ensuring solutions are secure, scalable, and aligned with best practice. What You'll Be Doing Design, build, and deploy AI-driven solutions that automate processes and reduce manual effort Collaborate with Development, QA, and IT teams to deliver impactful solutions Identify opportunities to apply AI across the business and turn them into tangible outcomes Develop both rapid prototypes and production-ready systems Establish guardrails and best practices for Responsible AI usage Document system architectures to meet engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands-on experience with Docker and Kubernetes Experience with Infrastructure as Code (Terraform preferred) Strong Linux/server administration skill Proficiency in Python, TypeScript, or Bash scripting Excellent problem-solving and stakeholder collaboration skills Understanding of Responsible AI principles Nice to Have AWS cloud expertise Experience with microservices or serverless architectures Familiarity with Node.js, Angular, and JVM environments Python for data processing or model evaluation Why Join Us? We offer a competitive salary between 75- 85K plus benefits including healthcare cash plan scheme, on site Medical Centre, subsidised canteen facilities, company events, pension. This role is based at our modern group head office in North West London, You will play a key role in shaping AI strategy and adoption across a forward-thinking organisation. Work on meaningful problems with real business impact in a collaborative and supportive environment, with ongoing investment in your growth and development. Our group companies span Pharmaceutical, Healthcare, Pharmacy and Laboratories.
Jun 14, 2026
Full time
Senior AI Engineer Salary 75000 - 85000 Location: London Nw10 (Hybrid/Flexible 3 days on site) Type: Full-time ITH Systems, an ITH Group company, are looking for a Senior AI Engineer to join our growing development team at an exciting stage of our technology transformation. This is a high-impact role where you'll help shape how AI is designed, built, and deployed across the organisation. You'll work at the intersection of machine learning, software engineering, and real-world business challenges-developing intelligent, scalable solutions that drive efficiency and innovation across our operations. Working closely with enterprise architecture and technical leadership, you'll act as a key voice in Responsible AI, ensuring solutions are secure, scalable, and aligned with best practice. What You'll Be Doing Design, build, and deploy AI-driven solutions that automate processes and reduce manual effort Collaborate with Development, QA, and IT teams to deliver impactful solutions Identify opportunities to apply AI across the business and turn them into tangible outcomes Develop both rapid prototypes and production-ready systems Establish guardrails and best practices for Responsible AI usage Document system architectures to meet engineering and audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands-on experience with Docker and Kubernetes Experience with Infrastructure as Code (Terraform preferred) Strong Linux/server administration skill Proficiency in Python, TypeScript, or Bash scripting Excellent problem-solving and stakeholder collaboration skills Understanding of Responsible AI principles Nice to Have AWS cloud expertise Experience with microservices or serverless architectures Familiarity with Node.js, Angular, and JVM environments Python for data processing or model evaluation Why Join Us? We offer a competitive salary between 75- 85K plus benefits including healthcare cash plan scheme, on site Medical Centre, subsidised canteen facilities, company events, pension. This role is based at our modern group head office in North West London, You will play a key role in shaping AI strategy and adoption across a forward-thinking organisation. Work on meaningful problems with real business impact in a collaborative and supportive environment, with ongoing investment in your growth and development. Our group companies span Pharmaceutical, Healthcare, Pharmacy and Laboratories.
AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation s AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on (url removed). If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus
Jun 14, 2026
Full time
AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus VIQU has partnered with a leading insurance organisation, undergoing significant data and AI transformation, as they continue to embed advanced analytics and AI capabilities across their business. They are now seeking a AI Governance Lead to join their Chief Data Office, responsible for establishing and embedding robust AI governance frameworks, ensuring the ethical and compliant use of AI, and enabling the organisation to scale AI adoption in a controlled and responsible way. This role will operate at the intersection of data science, risk, and regulation, working closely with senior stakeholders to drive innovation whilst managing risk in a highly regulated environment. Key Responsibilities of the AI Governance Lead: • Define and implement the organisation s AI governance framework, aligned to business objectives and regulatory requirements. • Establish policies and standards to ensure the responsible, ethical, and compliant use of AI across the organisation. • Identify, assess, and mitigate AI-related risks, including bias, privacy, and model explainability. • Develop governance models across key insurance use cases such as underwriting, pricing, claims, and fraud. • Implement controls, monitoring, and audit processes for AI models and data usage. • Ensure compliance with regulatory frameworks including GDPR, FCA guidelines, and emerging AI regulations. • Monitor AI model performance, accuracy, and fairness, implementing continuous improvement processes. • Develop reporting frameworks, dashboards, and governance metrics to provide visibility of AI risk and performance. • Collaborate with data science, technology, and risk teams to embed governance into AI development and deployment lifecycles. • Engage with senior stakeholders and executive leadership to communicate governance strategy, risks, and opportunities. Essential Requirements of the AI Governance Lead: • Proven experience leading AI or ML governance within insurance or financial services environments. • Strong background in data science, machine learning, or AI, with hands-on experience earlier in career. • Experience managing AI model development and deployment within regulated environments. • Strong understanding of insurance processes such as underwriting, pricing, claims, or fraud. • Knowledge of regulatory frameworks including GDPR, FCA, and AI governance standards. • Experience working with cloud platforms such as Azure, AWS, or Google Cloud. • Ability to translate complex business challenges into AI-driven solutions. • Strong stakeholder management skills, with experience operating at senior or executive level. • Understanding of actuarial principles and insurance analytics is highly desirable. • Relevant certifications in AI, machine learning, or data science would be advantageous. To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Katie Dark on (url removed). If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply). AI Governance Lead London - Hybrid £90,000 - £120,000 + bonus
Warehouse Operator Based in Ware, Hertfordshire Days and Nights rotational From 16.76 to 21.36 (depending on the shift) Our respected client, a global pharmaceutical company manufacturing a diverse range of products including medically critical sterile products, equipment and medicines that help to save the lives of millions of people worldwide. GSK are committed to moving Ahead Together and aim to have a positive impact on the health of 2.5 Billion people by the end of 2030. We are looking for candidates to join our team of exceptional individuals doing work that truly matters to the health of people worldwide. The successful candidate will support the warehouse team. The role will involve the preparation of equipment, bulk manufacturing and operation of machinery meeting the compliance of quality standards. Shifts available: Rotational 12 hours moving between days & nights across 7 days Your responsibilities will consist of but not limited to: To operate warehouse mechanical handling equipment (MHE) such as Highracker, counterbalance and ride-on pedestrian trucks as appropriate To perform all equipment checks to ensure their safe operation at all times To ensure the work area is audit ready and compliant at all times with our client's H&S policies and procedures Follow all SOPs and act at all times safely and in compliance with Good Manufacturing Practice (GMP) Completion of both electronic and paperwork documentation with accuracy and in a timely manner To carry out strict cleaning activities to ensure no cross contamination Stay up-to-date with all training and continual learning requirements The following are essential to the role: Forklift Licence required and a minimum of 3 years of Forklift experience required Maths and English at GSCE level or above (or equivalent) IT literate - Ability to use in house computer systems competently (full training is provided) Able to use own initiative - our client readily welcomes and encourages staff to provide suggestions on ways their role can be improved. Attention to detail and be able to follow strict and compliant ways of working All roles are recruited on a temporary basis with the maximum tenure at 2 years. Why GSK? Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to ensuring that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. GSK is open to all talent and is an Equal Opportunity Employer. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only).' Should you require any support or assistance, please contact your local Gi Group office. Gi Group Holdings Recruitment Limited are proud founding members of Menopause in business, corperate members for Neurodiversity in business, Disability Confident committed members, Gold status for the Armed Forces Covenant, Bronze trail blazers for Racial Equality matters and Age Freindly Employer pledge members. Gi Group Holdings Recruitment Limited group of companies includes Gi Recruitment Limited, Draefern Limited, Gi Group Recruitment Ltd, INTOO (UK) Limited, Marks Sattin (UK) Limited, TACK TMI UK Limited, Grafton Professional Staffing Limited, Encore Personnel Services, Gi Group Ireland Limited and Kelly Services (UK) Ltd. Gi Group Ireland Limited are acting as an Employment Agency in relation to this role. We are committed to protecting the privacy of all our candidates and clients. If you choose to apply, your information will be processed in accordance with the Gi Group Privacy Statement. To view a copy and to help you understand how we collect, use and process your personal data please visit the Privacy page on our Gi Group website.
Jun 14, 2026
Seasonal
Warehouse Operator Based in Ware, Hertfordshire Days and Nights rotational From 16.76 to 21.36 (depending on the shift) Our respected client, a global pharmaceutical company manufacturing a diverse range of products including medically critical sterile products, equipment and medicines that help to save the lives of millions of people worldwide. GSK are committed to moving Ahead Together and aim to have a positive impact on the health of 2.5 Billion people by the end of 2030. We are looking for candidates to join our team of exceptional individuals doing work that truly matters to the health of people worldwide. The successful candidate will support the warehouse team. The role will involve the preparation of equipment, bulk manufacturing and operation of machinery meeting the compliance of quality standards. Shifts available: Rotational 12 hours moving between days & nights across 7 days Your responsibilities will consist of but not limited to: To operate warehouse mechanical handling equipment (MHE) such as Highracker, counterbalance and ride-on pedestrian trucks as appropriate To perform all equipment checks to ensure their safe operation at all times To ensure the work area is audit ready and compliant at all times with our client's H&S policies and procedures Follow all SOPs and act at all times safely and in compliance with Good Manufacturing Practice (GMP) Completion of both electronic and paperwork documentation with accuracy and in a timely manner To carry out strict cleaning activities to ensure no cross contamination Stay up-to-date with all training and continual learning requirements The following are essential to the role: Forklift Licence required and a minimum of 3 years of Forklift experience required Maths and English at GSCE level or above (or equivalent) IT literate - Ability to use in house computer systems competently (full training is provided) Able to use own initiative - our client readily welcomes and encourages staff to provide suggestions on ways their role can be improved. Attention to detail and be able to follow strict and compliant ways of working All roles are recruited on a temporary basis with the maximum tenure at 2 years. Why GSK? Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to ensuring that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. GSK is open to all talent and is an Equal Opportunity Employer. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only).' Should you require any support or assistance, please contact your local Gi Group office. Gi Group Holdings Recruitment Limited are proud founding members of Menopause in business, corperate members for Neurodiversity in business, Disability Confident committed members, Gold status for the Armed Forces Covenant, Bronze trail blazers for Racial Equality matters and Age Freindly Employer pledge members. Gi Group Holdings Recruitment Limited group of companies includes Gi Recruitment Limited, Draefern Limited, Gi Group Recruitment Ltd, INTOO (UK) Limited, Marks Sattin (UK) Limited, TACK TMI UK Limited, Grafton Professional Staffing Limited, Encore Personnel Services, Gi Group Ireland Limited and Kelly Services (UK) Ltd. Gi Group Ireland Limited are acting as an Employment Agency in relation to this role. We are committed to protecting the privacy of all our candidates and clients. If you choose to apply, your information will be processed in accordance with the Gi Group Privacy Statement. To view a copy and to help you understand how we collect, use and process your personal data please visit the Privacy page on our Gi Group website.
Lead Systems Engineer - Advanced Product Development Salary: 63,000 + comprehensive benefits package Location: Bristol area (Hybrid working - split your time between home and our advanced engineering site) Position Type: Full-time, Permanent Bring clarity to ambiguity and architect the future of high-tech machinery. We are a global leader in high-precision engineering solutions, and we are looking for a visionary Lead Systems Engineer to spearhead the deployment of best-practice systems engineering. Reporting directly to the Systems Engineering Manager, your mission will span the entire product lifecycle-from initial concept definition all the way to customer commissioning and real-world field trials. If you are a collaborative leader who excels at translating complex product visions into robust, scalable realities, this is your opportunity to make a lasting impact. What You Will Do Architect & Define: Translate high-level product visions into clear, concise requirements using systems engineering processes, including Use Cases, Context Diagrams, and System Architectures. Model-Based Design (MBSE): Utilize MBSE methods to develop functional, logical, and behavioral architectures to deeply understand system operations and workflows. Collaborate & Influence: Work closely with multi-disciplinary engineering teams to clarify technical work packages, manage critical trade-off studies, and swiftly resolve complex engineering bottlenecks. Lead & Mentor: Guide, coach, and inspire a growing core team of Systems Engineers at various stages of their careers, helping them develop into future engineering leaders. Evangelize Best Practices: Drive the evolution and integration of Systems Engineering processes across the wider organization, educating cross-functional teams on technical problem-solving. What You Bring to the Team We value diverse perspectives and encourage you to apply even if you don't tick every single box below! Education & Credentials: A Bachelor's degree in Systems Engineering (or equivalent) is essential (Master's preferred). Achievement of, or progress toward, Chartered Engineer status or an ASEP qualification is highly desirable. Proven Expertise: 5+ years of practical, hands-on experience applying best-practice Systems Engineering within a relatable, high-precision engineering industry. Regulatory Knowledge: Experience navigating regulated, compliance-driven environments (such as semiconductor equipment, aerospace, automotive, or medical devices), with a strong grasp of product safety and standards. Leadership & Influence: Exceptional negotiation and communication skills, with a proven ability to take ownership of complex situations and align cross-functional teams without direct authority. Mindset: A high-integrity, results-driven professional who sets the standard for accountability and delivers on tight milestones. What We Offer in Return Our culture is built on trust, accountability, and the belief that groundbreaking innovation is powered by people. Career Evolution: Access to lifelong learning, continuous professional development, and clear paths to senior leadership. Flexibility: A genuine hybrid working model that balances remote productivity with collaborative on-site teamwork. Well-being & Rewards: A competitive salary of 63,000, robust health and wellness perks, and an excellent corporate benefits scheme. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 13, 2026
Full time
Lead Systems Engineer - Advanced Product Development Salary: 63,000 + comprehensive benefits package Location: Bristol area (Hybrid working - split your time between home and our advanced engineering site) Position Type: Full-time, Permanent Bring clarity to ambiguity and architect the future of high-tech machinery. We are a global leader in high-precision engineering solutions, and we are looking for a visionary Lead Systems Engineer to spearhead the deployment of best-practice systems engineering. Reporting directly to the Systems Engineering Manager, your mission will span the entire product lifecycle-from initial concept definition all the way to customer commissioning and real-world field trials. If you are a collaborative leader who excels at translating complex product visions into robust, scalable realities, this is your opportunity to make a lasting impact. What You Will Do Architect & Define: Translate high-level product visions into clear, concise requirements using systems engineering processes, including Use Cases, Context Diagrams, and System Architectures. Model-Based Design (MBSE): Utilize MBSE methods to develop functional, logical, and behavioral architectures to deeply understand system operations and workflows. Collaborate & Influence: Work closely with multi-disciplinary engineering teams to clarify technical work packages, manage critical trade-off studies, and swiftly resolve complex engineering bottlenecks. Lead & Mentor: Guide, coach, and inspire a growing core team of Systems Engineers at various stages of their careers, helping them develop into future engineering leaders. Evangelize Best Practices: Drive the evolution and integration of Systems Engineering processes across the wider organization, educating cross-functional teams on technical problem-solving. What You Bring to the Team We value diverse perspectives and encourage you to apply even if you don't tick every single box below! Education & Credentials: A Bachelor's degree in Systems Engineering (or equivalent) is essential (Master's preferred). Achievement of, or progress toward, Chartered Engineer status or an ASEP qualification is highly desirable. Proven Expertise: 5+ years of practical, hands-on experience applying best-practice Systems Engineering within a relatable, high-precision engineering industry. Regulatory Knowledge: Experience navigating regulated, compliance-driven environments (such as semiconductor equipment, aerospace, automotive, or medical devices), with a strong grasp of product safety and standards. Leadership & Influence: Exceptional negotiation and communication skills, with a proven ability to take ownership of complex situations and align cross-functional teams without direct authority. Mindset: A high-integrity, results-driven professional who sets the standard for accountability and delivers on tight milestones. What We Offer in Return Our culture is built on trust, accountability, and the belief that groundbreaking innovation is powered by people. Career Evolution: Access to lifelong learning, continuous professional development, and clear paths to senior leadership. Flexibility: A genuine hybrid working model that balances remote productivity with collaborative on-site teamwork. Well-being & Rewards: A competitive salary of 63,000, robust health and wellness perks, and an excellent corporate benefits scheme. Randstad CPE values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Candidates must be eligible to live and work in the UK. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
DATA ANALYST - 50PH INSIDE IR35 - 60% ONSITE IN FILTON - 12 MONTH CONTRACT A leading aerospace organisation is seeking a Data Analyst / Health Engineer to support the development of fleet diagnostic and predictive maintenance capability across a global aircraft in service environment. This role sits within an advanced engineering and data function, working directly with aircraft operational data to improve reliability, system performance and maintenance decision making. The successful candidate will work across engineering, design and fleet support teams to deliver high impact analytical outputs that directly influence aircraft health monitoring and predictive maintenance strategy. Key Responsibilities: Contribute to development of fleet diagnostic and predictive maintenance models Support technical investigations using in service aircraft data Deliver structured data studies for engineering and design office stakeholders Translate complex operational datasets into actionable engineering insight Support wider data management and analytics transformation initiatives Improve understanding of in service fleet behaviour and system performance Essential Skills & Experience: Strong experience with Palantir Foundry / Skywise Advanced Jupyter Notebook capability Jira and Github in engineering or data driven environments Strong data analytics and visualisation capability Confident stakeholder management across technical teams Delivery focused, independent working style Desirable Experience: Skywise Predictive Maintenance (SPM) Aircraft systems or maintenance engineering understanding Experience in fleet diagnostics or predictive maintenance environments Exposure to AOG / operational disruption contexts Familiarity with structured maintenance processes and reliability frameworks Machine learning or AI applied to engineering datasets This is a high impact opportunity within a leading aerospace environment, contributing directly to the evolution of predictive maintenance capability on in service aircraft. Confidential discussions available for suitably experienced candidates.
Jun 13, 2026
Contractor
DATA ANALYST - 50PH INSIDE IR35 - 60% ONSITE IN FILTON - 12 MONTH CONTRACT A leading aerospace organisation is seeking a Data Analyst / Health Engineer to support the development of fleet diagnostic and predictive maintenance capability across a global aircraft in service environment. This role sits within an advanced engineering and data function, working directly with aircraft operational data to improve reliability, system performance and maintenance decision making. The successful candidate will work across engineering, design and fleet support teams to deliver high impact analytical outputs that directly influence aircraft health monitoring and predictive maintenance strategy. Key Responsibilities: Contribute to development of fleet diagnostic and predictive maintenance models Support technical investigations using in service aircraft data Deliver structured data studies for engineering and design office stakeholders Translate complex operational datasets into actionable engineering insight Support wider data management and analytics transformation initiatives Improve understanding of in service fleet behaviour and system performance Essential Skills & Experience: Strong experience with Palantir Foundry / Skywise Advanced Jupyter Notebook capability Jira and Github in engineering or data driven environments Strong data analytics and visualisation capability Confident stakeholder management across technical teams Delivery focused, independent working style Desirable Experience: Skywise Predictive Maintenance (SPM) Aircraft systems or maintenance engineering understanding Experience in fleet diagnostics or predictive maintenance environments Exposure to AOG / operational disruption contexts Familiarity with structured maintenance processes and reliability frameworks Machine learning or AI applied to engineering datasets This is a high impact opportunity within a leading aerospace environment, contributing directly to the evolution of predictive maintenance capability on in service aircraft. Confidential discussions available for suitably experienced candidates.
SAP BTP & AI Technical Architect (Big 4) 90,000 - 120,000 + Car Allowance + Bonus UK Wide We are looking for talented individuals to join our big 4 consultancy client in this exciting new career opportunity. They have invested heavily into their SAP practice and are undergoing substantial growth due to new project wins, an exciting time to join! The ideal candidate would be business focused to support with the holistic delivery model. You can expect a modern culture, endless development opportunities and clear career progression. Role overview: Lead the design and delivery of scalable SAP S/4HANA and SAP BTP architectures, incorporating AI and Generative AI capabilities. Advise clients on intelligent enterprise transformation, including automation, machine learning, and AI-driven solutions. Facilitate workshops and collaborate with stakeholders to identify high-value use cases and define strategic roadmaps. Support business development activities, including proposals, bids, and senior client engagements. What you would bring: Proven experience delivering complex SAP S/4HANA transformations with strong knowledge across integration, BTP, security, and full-stack architecture. Hands-on experience designing and delivering enterprise-scale AI or Generative AI solutions within SAP environments. Demonstrated ability to lead architecture design and technical teams, ideally across multiple full S/4HANA lifecycle implementations. Strong stakeholder management, workshop facilitation, and ability to translate business requirements into scalable technical solutions. Akkodis exists to connect the smartest people and brightest businesses to the opportunities they need to thrive. We're a Global leader in professional solutions for IT, Engineering and Life Sciences. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Jun 13, 2026
Full time
SAP BTP & AI Technical Architect (Big 4) 90,000 - 120,000 + Car Allowance + Bonus UK Wide We are looking for talented individuals to join our big 4 consultancy client in this exciting new career opportunity. They have invested heavily into their SAP practice and are undergoing substantial growth due to new project wins, an exciting time to join! The ideal candidate would be business focused to support with the holistic delivery model. You can expect a modern culture, endless development opportunities and clear career progression. Role overview: Lead the design and delivery of scalable SAP S/4HANA and SAP BTP architectures, incorporating AI and Generative AI capabilities. Advise clients on intelligent enterprise transformation, including automation, machine learning, and AI-driven solutions. Facilitate workshops and collaborate with stakeholders to identify high-value use cases and define strategic roadmaps. Support business development activities, including proposals, bids, and senior client engagements. What you would bring: Proven experience delivering complex SAP S/4HANA transformations with strong knowledge across integration, BTP, security, and full-stack architecture. Hands-on experience designing and delivering enterprise-scale AI or Generative AI solutions within SAP environments. Demonstrated ability to lead architecture design and technical teams, ideally across multiple full S/4HANA lifecycle implementations. Strong stakeholder management, workshop facilitation, and ability to translate business requirements into scalable technical solutions. Akkodis exists to connect the smartest people and brightest businesses to the opportunities they need to thrive. We're a Global leader in professional solutions for IT, Engineering and Life Sciences. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Product Manager (AI & Workflow) - Near Edinburgh (Hybrid) - 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs. Translate market insight, clinical feedback and user requirements into clear product plans and specifications. Lead product planning across scope, priorities, milestones, dependencies and release activity. Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders. Own backlog priorities and support release governance, readiness decisions and change control activity. Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations. Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose. Contribute to data governance activities relating to model development, monitoring and product performance. Support business case development, budgeting and commercial planning for software and subscription-based offerings. Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements. Use customer feedback and post-release insight to improve usability, efficiency and workflow integration. Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed. What they're looking for Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products. Strong understanding of Software as a Medical Device or other regulated healthcare software environments. Experience working with cross-functional teams in complex product settings and influencing senior stakeholders. Knowledge of clinical evidence generation and regulated development standards (ISO / IEC). Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments. Understanding of Cloud or Software as a Service based product delivery models. Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus. This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Jun 13, 2026
Full time
Product Manager (AI & Workflow) - Near Edinburgh (Hybrid) - 90K plus Bonus Having placed a number of people into their teams ourselves, Lorien's long standing client based near Edinburgh - a leader in their industry with a growing and consistently award-winning product line making a huge difference around the globe - have asked us to help them in their searches for a Product Manager to lead the strategy, development and delivery of AI-enabled diagnostic software and workflow solutions. This is a senior individual contributor role with broad ownership across the product lifecycle, from shaping roadmap priorities through to launch readiness and continuous improvement. The successful candidate will work closely with technical, clinical, quality and commercial teams to turn market and user needs into well-defined product requirements. The role suits someone who can balance customer value, technical feasibility and regulatory expectations in a highly regulated software environment. Role outline Define and maintain the roadmap for AI and workflow products, ensuring alignment with business goals and customer needs. Translate market insight, clinical feedback and user requirements into clear product plans and specifications. Lead product planning across scope, priorities, milestones, dependencies and release activity. Coordinate cross-functional teams including software, data, clinical, quality, regulatory, security, service and commercial stakeholders. Own backlog priorities and support release governance, readiness decisions and change control activity. Drive risk management across product delivery, including performance, compliance, cybersecurity, privacy and continuity considerations. Support clinical evidence planning and regulatory submissions by ensuring product inputs and documentation are complete and fit for purpose. Contribute to data governance activities relating to model development, monitoring and product performance. Support business case development, budgeting and commercial planning for software and subscription-based offerings. Help shape product positioning, internal communication and go-to-market readiness for new releases and enhancements. Use customer feedback and post-release insight to improve usability, efficiency and workflow integration. Lead stakeholder discussions, ensuring decisions, actions and risks are clearly captured and progressed. What they're looking for Equivalent tenure and/or degree in a technical/scientific or business-related discipline; and ideally an advanced qualification in biomedical/computer science/data science/similar. Good grasp of AI and Machine Learning concepts, including datasets, validation, performance measures, monitoring and risk considerations. Previous track record of product management / Project Management within AI, MedTech oriented software/diagnostics/digital health and/or workflow oriented software products. Strong understanding of Software as a Medical Device or other regulated healthcare software environments. Experience working with cross-functional teams in complex product settings and influencing senior stakeholders. Knowledge of clinical evidence generation and regulated development standards (ISO / IEC). Familiarity with interoperability and workflow integration, such as DICOM, HL7, FHIR, PACS or EHR-linked environments. Understanding of Cloud or Software as a Service based product delivery models. Comfort working in a fast-paced setting where product decisions require both strategic thinking and hands-on delivery focus. This is a strong opportunity for a product management professional who wants to influence the direction of AI-led software in a role that combines strategy, delivery and stakeholder leadership. If you enjoy working at the intersection of innovation, regulated software and value, this position offers real scope to make an impact. Apply now with your latest CV for immediate consideration. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Jun 13, 2026
Full time
AI Implementation Engineer - Manchester A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation. This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business. The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business. This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment. Role Purpose Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents ensuring they are secure, integrated, scalable, and actively used. Key Responsibilities Design and build high-performing AI models tailored to specific business needs Lead rapid prototyping initiatives through to production delivery Work directly with the IT Infrastructure team to deploy AI models into production environments Ensure solutions use Private Endpoints and meet enterprise-grade security standards Work with operational and business teams to embed AI tools into day-to-day workflows Drive adoption and ensure teams are actively using implemented AI solutions Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps) Ensure AI solutions integrate securely with existing systems, data platforms, and APIs Collaborate with commercial stakeholders to assess project viability and business value before implementation Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation Required Experience Essential Deep expertise in Python and relevant AI/ML frameworks and SDKs Proven experience building RAG pipelines that operate effectively in production environments Hands-on experience with model packaging, deployment, and production AI workflows Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong understanding of AI implementation, deployment, and operationalisation Ability to work closely with technical and non-technical stakeholders Strong problem-solving and communication skills Desirable Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working in operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience helping shape or build internal AI capabilities within a business Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape AI capability within a growing business Strong long-term career progression opportunities Interested? Please click Apply Now! AI Implementation Engineer - Manchester
Our client, a leading technology and engineering company within the Defence & Security sector, is currently seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers across small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers and providing technical guidance Supporting business development through technical bidding activities and early-stage client interactions Job Requirements: Proven experience in AI and Machine Learning R&D Significant experience in computer vision, reinforcement learning, and NLP Strong software engineering skills, particularly with Python and widely used software tooling Ability to lead agile teams and deliver complex projects at pace Technical leadership skills and experience guiding and mentoring junior engineers Eligibility to achieve Security Clearance (SC) Benefits: Competitive salary Flexible and hybrid working options Additional flexible benefits covering health, wellbeing, savings, protection, and entertainment Access to a vibrant community of professionals with shared interests and passion for technology Beautiful work location in Hampshire countryside, with on-site gym and ample parking If you are an experienced AI/Machine Learning Engineer looking for a challenging and rewarding role within the Defence & Security sector, we would love to hear from you. Apply now to join our client's dynamic and innovative team.
Jun 13, 2026
Full time
Our client, a leading technology and engineering company within the Defence & Security sector, is currently seeking an experienced AI/Machine Learning Engineer to join their team on a permanent basis. Key Responsibilities: Delivering novel AI/ML solutions to technically complex or novel research problems Leading teams of engineers across small research projects and larger multi-disciplinary development programmes Providing technical expertise in AI/ML disciplines, including Computer Vision, Reinforcement Learning, LLMs, and NLP Conceiving novel applications of AI/ML techniques and adapting academic research Developing and leading agile teams through complex software engineering tasks Mentoring junior engineers and providing technical guidance Supporting business development through technical bidding activities and early-stage client interactions Job Requirements: Proven experience in AI and Machine Learning R&D Significant experience in computer vision, reinforcement learning, and NLP Strong software engineering skills, particularly with Python and widely used software tooling Ability to lead agile teams and deliver complex projects at pace Technical leadership skills and experience guiding and mentoring junior engineers Eligibility to achieve Security Clearance (SC) Benefits: Competitive salary Flexible and hybrid working options Additional flexible benefits covering health, wellbeing, savings, protection, and entertainment Access to a vibrant community of professionals with shared interests and passion for technology Beautiful work location in Hampshire countryside, with on-site gym and ample parking If you are an experienced AI/Machine Learning Engineer looking for a challenging and rewarding role within the Defence & Security sector, we would love to hear from you. Apply now to join our client's dynamic and innovative team.
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Jun 13, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Software AI Engineer with solid understanding of how to build LLM based solutions is sought by a high growth FinTech with a hub in the Midlands. Working at the forefront of financial services AI innovation this Software AI Engineer will join a multi-disciplinary team that are turning ideas into production ready, market leading AI solutions. This role would suit a Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading scale up This Software AI Engineer should have most of the following key skills: - A software engineering background - Python, JavaScript, Typescript node.js etc - General commercial LLM experience - Solid test driven development experience - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - Azure preferred but all considered - Very strong communication skills - Understanding of AI security guardrails - Experience working in a regulated or FinTech environment This Software AI Engineer will receive - Starting salary of between £65,000 - £70,000 base salary - Long term remote working - Extensive personal development scheme - 25 days holiday - Generous pension scheme - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure
Jun 13, 2026
Full time
Software AI Engineer with solid understanding of how to build LLM based solutions is sought by a high growth FinTech with a hub in the Midlands. Working at the forefront of financial services AI innovation this Software AI Engineer will join a multi-disciplinary team that are turning ideas into production ready, market leading AI solutions. This role would suit a Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect excellent career development and training opportunities within a market leading scale up This Software AI Engineer should have most of the following key skills: - A software engineering background - Python, JavaScript, Typescript node.js etc - General commercial LLM experience - Solid test driven development experience - Varied database exposure - PostgreSQL, MongoDB, CosmosDB - Cloud services exposure - Azure preferred but all considered - Very strong communication skills - Understanding of AI security guardrails - Experience working in a regulated or FinTech environment This Software AI Engineer will receive - Starting salary of between £65,000 - £70,000 base salary - Long term remote working - Extensive personal development scheme - 25 days holiday - Generous pension scheme - Truly autonomous, collaborative culture with extensive growth potential - Regular remuneration reviews So if you are a Software AI Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure
Gleeson Recruitment Group
Leamington Spa, Warwickshire
A highly reputable manufacturer are seeking an experienced and proactive Health, Safety & Environmental Manager to lead the development of a world-class safety About the Role Reporting to the Business Excellence & Quality Director, you will take ownership of the site's Health, Safety and Environmental strategy, driving continuous improvement across manufacturing, assembly, warehousing, maintenance, and logistics operations. You'll combine strategic leadership with a hands-on approach, spending time on the shop floor, engaging with colleagues, identifying opportunities for improvement, and helping create an environment where safety is everyone's responsibility. Key Responsibilities Develop and deliver the site's Health & Safety strategy and improvement plans. Lead by example through visible shop floor engagement and coaching. Build a proactive safety culture through behavioural safety principles, learning teams, and effective near-miss reporting. Ensure compliance with all relevant UK Health & Safety legislation, including HASAWA, PUWER, LOLER, COSHH, MHSWR and related regulations. Lead audits, inspections and corrective action programmes. Embed health and safety into operational excellence and continuous improvement activities. Develop practical communications including toolbox talks, safety alerts and training materials. Lead investigations into accidents, incidents and near misses. Maintain and continually improve the site's ISO 45001 Occupational Health & Safety Management System. Manage internal audits, corrective actions, document control and management reviews. Person Specification Proven Health & Safety leadership experience within a manufacturing environment. Experience working with manufacturing processes including machinery, assembly operations and warehousing/logistics. Professional membership or working towards (CMIOSH) NEBOSH General Certificate / NEBOSH Diploma (desirable) Strong knowledge of UK Health & Safety legislation and its practical application. Experience maintaining and improving ISO 45001 management systems. Demonstrated ability to investigate incidents and deliver long-term corrective actions. Excellent communication, coaching and influencing skills. Salary / Package 55,000 - 60,000 25 days holiday Pension contribution Flexible working EV Car Scheme Finish at lunch on a Friday At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
Jun 13, 2026
Full time
A highly reputable manufacturer are seeking an experienced and proactive Health, Safety & Environmental Manager to lead the development of a world-class safety About the Role Reporting to the Business Excellence & Quality Director, you will take ownership of the site's Health, Safety and Environmental strategy, driving continuous improvement across manufacturing, assembly, warehousing, maintenance, and logistics operations. You'll combine strategic leadership with a hands-on approach, spending time on the shop floor, engaging with colleagues, identifying opportunities for improvement, and helping create an environment where safety is everyone's responsibility. Key Responsibilities Develop and deliver the site's Health & Safety strategy and improvement plans. Lead by example through visible shop floor engagement and coaching. Build a proactive safety culture through behavioural safety principles, learning teams, and effective near-miss reporting. Ensure compliance with all relevant UK Health & Safety legislation, including HASAWA, PUWER, LOLER, COSHH, MHSWR and related regulations. Lead audits, inspections and corrective action programmes. Embed health and safety into operational excellence and continuous improvement activities. Develop practical communications including toolbox talks, safety alerts and training materials. Lead investigations into accidents, incidents and near misses. Maintain and continually improve the site's ISO 45001 Occupational Health & Safety Management System. Manage internal audits, corrective actions, document control and management reviews. Person Specification Proven Health & Safety leadership experience within a manufacturing environment. Experience working with manufacturing processes including machinery, assembly operations and warehousing/logistics. Professional membership or working towards (CMIOSH) NEBOSH General Certificate / NEBOSH Diploma (desirable) Strong knowledge of UK Health & Safety legislation and its practical application. Experience maintaining and improving ISO 45001 management systems. Demonstrated ability to investigate incidents and deliver long-term corrective actions. Excellent communication, coaching and influencing skills. Salary / Package 55,000 - 60,000 25 days holiday Pension contribution Flexible working EV Car Scheme Finish at lunch on a Friday At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer. By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
ROLE OVERVIEW: We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data-processing, model-building, and deployment capabilities for a pioneering research organisation. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Engineer will be varied; however, the key duties and responsibilities are as follows: 1. Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically disordered proteins. 2. Enhance the usability of built models by implementing automated, streamlined, and efficient software solutions in line with best practices, and build model-deployment and job-launching systems for internal and external use. 3. Collaborate closely with other computational and NMR team members, in addition to experimental biophysicists, assisting with experimental data handling and curation, and mentoring the interdisciplinary team in machine-learning and data analysis methods. 4. Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies, contributing to the design and execution of cutting-edge machine learning and NMR research projects. ROLE REQUIREMENTS: To be successful in your application to this exciting role as Machine Learning Engineer, we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical field with proven experience in machine learning or model-building. 2. Proven industry experience in applying machine learning and modelling techniques to graph-based data such as molecules and proteins, as well as time series. An ability to demonstrate innovative ways of working (for example work on disordered proteins and consideration of the next frontier in drug discovery) will be highly advantageous. 3. A working knowledge and practical experience with Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL. Key Words: Machine Learning Engineer / Data Processing / Model Building / NMR / Deep Learning / Computational Biophysics / Drug Discovery / Neural Networks / Scientific Software / Python / Nuclear Magnetic Resonance Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
Jun 13, 2026
Full time
ROLE OVERVIEW: We are currently looking for a Machine Learning Engineer to join a leading research organisation based in London. As Machine Learning Engineer, you will be responsible for advancing data-processing, model-building, and deployment capabilities for a pioneering research organisation. KEY DUTIES AND RESPONSIBILITIES: Your duties as the Machine Learning Engineer will be varied; however, the key duties and responsibilities are as follows: 1. Develop deep-learning pipelines for nuclear magnetic resonance (NMR) data and innovative machine learning approaches to elucidate and quantify interactions between small molecules and intrinsically disordered proteins. 2. Enhance the usability of built models by implementing automated, streamlined, and efficient software solutions in line with best practices, and build model-deployment and job-launching systems for internal and external use. 3. Collaborate closely with other computational and NMR team members, in addition to experimental biophysicists, assisting with experimental data handling and curation, and mentoring the interdisciplinary team in machine-learning and data analysis methods. 4. Stay current with breakthroughs in machine learning, neural networks, NMR, and computational technologies, contributing to the design and execution of cutting-edge machine learning and NMR research projects. ROLE REQUIREMENTS: To be successful in your application to this exciting role as Machine Learning Engineer, we are looking to identify the following on your profile and past history: 1. Relevant degree in a technical field with proven experience in machine learning or model-building. 2. Proven industry experience in applying machine learning and modelling techniques to graph-based data such as molecules and proteins, as well as time series. An ability to demonstrate innovative ways of working (for example work on disordered proteins and consideration of the next frontier in drug discovery) will be highly advantageous. 3. A working knowledge and practical experience with Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL. Key Words: Machine Learning Engineer / Data Processing / Model Building / NMR / Deep Learning / Computational Biophysics / Drug Discovery / Neural Networks / Scientific Software / Python / Nuclear Magnetic Resonance Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the Life Science sectors, combining recruitment expertise with scientific knowledge to help you advance your career.
Job Title: Principal Pricing Analyst Locations : This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview We are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written
Jun 13, 2026
Full time
Job Title: Principal Pricing Analyst Locations : This can be a largely remote position with the occasion travel to the office closest to you. We have offices based in Manchester, Stoke, London and Peterborough. Role Overview We are looking for a Principal Pricing Analyst to join a quickly growing and developing pricing department across a range of insurance lines. You will utilise your technical expertise, in-depth knowledge of insurance industry and market leading tools to produce creative and actionable pricing solutions. This role requires a large element of coaching team members and championing best practice across the department. Reporting to the our Associate Director, you will make use of WTW Radar and Emblem and you will have responsibility for the development and maintenance of predictive models (GLM) and price optimisation including machine learning algorithms (GBM), LTV (Lifetime Value) and fair pricing principles. Ultimately creating value for our customers. Bringing best in class pricing experience, you'll be expected to provide pricing proposals considering customer and commercial outcomes, communicating these in a compelling, impactful way to all levels of stakeholders to help us make the right decisions at the right times. You'll work on multiple priorities within a fast paced, dynamic environment. You'll need to be able to manage the expectations of stakeholders alongside prioritising your workload. As a Principal Pricing Analyst, you will use your advanced analytical skills to: Be a key stakeholder influencing the direction & outcome of projects Provide technical leadership on WTW toolkit (in particular Radar Optimiser) to drive forward effective and efficient solutions Provide thought leadership on optimisation and modelling concepts Research, develop and champion the use of best practice methods and standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies, understanding how they fit into the wider piece, and identify where they can be improved Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience of WTW's Radar software Proficient at communicating results in a concise manner both verbally and written
Algorithm Developer Advanced Defence Systems Location: Bristol Salary: Up to £55,000 (depending on experience) + Bonus & Excellent Benefits A leading defence engineering organisation is seeking an experienced Algorithm Engineer to join a highly specialist team developing next-generation intelligent systems used within complex mission-critical environments. The role would suit individuals with a strong mathematical or scientific background who enjoy solving complex engineering challenges through simulation, modelling and advanced software techniques. Key Responsibilities Design, develop and validate advanced algorithms using tools such as MATLAB/Simulink and Python Produce mathematical models and numerical simulations for complex real-world applications Work closely with software, systems and modelling teams to support implementation and integration activities Contribute to machine learning, data-driven and optimisation techniques where applicable Support continuous improvement of algorithm development methodologies and engineering processes Ensure robust verification, testing and quality standards throughout the development lifecycle Skills & Experience Experience in some of the following areas is highly desirable: Algorithm development or mathematical modelling Numerical analysis and simulation Machine learning / AI techniques Data science methodologies Geospatial analysis or GIS technologies Scientific programming or software development MATLAB, Simulink and/or Python Strong analytical and problem-solving capability Degree qualified within Mathematics, Physics, Engineering, Computer Science or similar technical discipline Package & Benefits Performance-related bonus Competitive pension contribution Paid overtime opportunities Flexible/hybrid working arrangements Additional annual leave options Enhanced family leave policies Subsidised facilities and on-site benefits Additional Information Due to the nature of the programmes involved, applicants will be required to undergo security clearance checks. Eligibility is typically dependent on British nationality or dual nationality status including British citizenship. This is an excellent opportunity to join a highly respected engineering environment delivering innovative technology at the forefront of modern defence capability.
Jun 13, 2026
Full time
Algorithm Developer Advanced Defence Systems Location: Bristol Salary: Up to £55,000 (depending on experience) + Bonus & Excellent Benefits A leading defence engineering organisation is seeking an experienced Algorithm Engineer to join a highly specialist team developing next-generation intelligent systems used within complex mission-critical environments. The role would suit individuals with a strong mathematical or scientific background who enjoy solving complex engineering challenges through simulation, modelling and advanced software techniques. Key Responsibilities Design, develop and validate advanced algorithms using tools such as MATLAB/Simulink and Python Produce mathematical models and numerical simulations for complex real-world applications Work closely with software, systems and modelling teams to support implementation and integration activities Contribute to machine learning, data-driven and optimisation techniques where applicable Support continuous improvement of algorithm development methodologies and engineering processes Ensure robust verification, testing and quality standards throughout the development lifecycle Skills & Experience Experience in some of the following areas is highly desirable: Algorithm development or mathematical modelling Numerical analysis and simulation Machine learning / AI techniques Data science methodologies Geospatial analysis or GIS technologies Scientific programming or software development MATLAB, Simulink and/or Python Strong analytical and problem-solving capability Degree qualified within Mathematics, Physics, Engineering, Computer Science or similar technical discipline Package & Benefits Performance-related bonus Competitive pension contribution Paid overtime opportunities Flexible/hybrid working arrangements Additional annual leave options Enhanced family leave policies Subsidised facilities and on-site benefits Additional Information Due to the nature of the programmes involved, applicants will be required to undergo security clearance checks. Eligibility is typically dependent on British nationality or dual nationality status including British citizenship. This is an excellent opportunity to join a highly respected engineering environment delivering innovative technology at the forefront of modern defence capability.
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
Jun 13, 2026
Full time
Software Developer - SC cleared Permanent Hybrid (willing to travel to Newcastle) Python AI BPSS We are looking for Software Developers with strong Python and AI experience to work at an early stage alongside enterprise architects and senior engineers. You will help research, design and prototype the foundations of a new service, with particular emphasis on automation, integration and intelligent workflows. You will join Peregrine who are supporting a large public sector organisation, starting an ambitious transformation programme focused on modernising how financial support services are delivered. The aim is to explore whether multiple existing approaches can be consolidated into a single, streamlined service. This work is at Alpha stage, with a strong focus on research, prototyping and proving technical and architectural options. This is a hands-on role suited to engineers who enjoy shaping solutions from first principles and working in exploratory delivery phases. The role is primarily remote, however travel to Newcastle may be required for sprint ceremonies and key workshops. Responsibilities: Engineers will contribute to research and development across: Workflow orchestration and process design Web portal options and user interaction patterns Data models and schema design Automation and AI, including AI assisted software development approaches Skills & Experience: Strong experience with Python Experience applying AI or machine learning in practical solutions Focus on automation and system integration Comfortable working in early stage, fast evolving environments (Alpha project experience) AWS Services Active BPSS, SC clearance or eligible for clearance Desirable skills: Experience supporting AI or data driven platforms Knowledge of cyber security or fraud prevention domains Experience working within government or critical national infrastructure environments About Peregrine We build workforces that deliver tech and change programmes at leading UK organisations. By combining data science from Peregrine Intelligence, our industry-accredited Peregrine Academy, and market-leading attraction and diversity initiatives, we bridge capability gaps at all levels in public and private sector organisations. We work closely with our clients to understand their challenges and deliver flexible, long-term solutions that make a real difference. When you join Peregrine, you become part of a team that s focused on growth, both yours, our clients , and the sectors we support. You ll also get access to a full range of benefits alongside your salary. How Specialist Talent Works As a permanent employee at Peregrine, you ll be part of our Specialist Talent team. That means you ll work on-site or remotely with our clients, supporting them on complex, high-impact projects in Data, Digital and Business Transformation. You ll get the variety and challenge of consultancy work, with the stability and support of a permanent role. You re not a contractor - you re a valued member of our team, with access to all the same benefits, learning opportunities, and community. Find out more: peregrine.global or check out our LinkedIn page: peregrine-resourcing
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Jun 13, 2026
Full time
Do you have very recent UK Insurance data experience? Hybrid working part City of London based - This leading and exciting Insurer are seeking a detail-oriented and organised Motor Insurance Pricing/Data Practitioner to join their Pricing and Underwriting team. To apply for this role you MUST have multiple years of experience working within a personal lines business within motor and or home products They ve built the kind of pricing infrastructure every pricing professional aspires to work with: High-quality, accessible data A fast, flexible rating algorithm deploy changes in hours Machine Learning Operations (MLOps) that enable fast, transparent, and controlled model development An operating model that gives complete autonomy to pricing professionals to dream up an idea and get it live If you're passionate about using data, tech, and creativity to push the boundaries of insurance pricing, we d love to hear from you. Role Purpose This role focuses on end-to-end customer pricing, covering both risk and margin for the Insurer. It is a highly autonomous role within a specialized team. Key Responsibilities Optimization: Identify pricing opportunities across segments to maximize profitability and market competitiveness. Innovation: Develop new features, tools, and models for advanced pricing sophistication. Monitoring: Analyse claims performance to ensure accurate calibration, especially regarding inflation and trends. Automation: Build automated processes to improve operational efficiency Ideal Candidate Profile Extensive skills within Motor Insurance Pricing and Data Commercial Mindset: Motivated by driving tangible business value through data-driven decisions. Technical Proficiency: Skilled in data analysis and modelling techniques. Requires experience with analytical tools (e.g., Python, SQL, R) and a background in insurance pricing or data science. The company are offering an impressive salary and benefits package and this is an exciting time to join this highly progressive Insurer.
Head of AI Manchester A growing technology-led business is looking to appoint a Head of AI to lead the development, implementation, and long-term adoption of AI capabilities across the organisation. This is a strategic and hands-on leadership role focused on shaping the company s AI direction while overseeing the successful delivery of AI solutions from concept through to live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily in AI and exploring a broad range of initiatives. They are now looking for an experienced AI leader who can combine technical expertise with strategic thinking, helping define the AI roadmap while building internal capability and leading implementation across the business. This role would suit someone who enjoys building and scaling AI functions, leading innovation, solving operational challenges, and delivering transformational business outcomes in a fast-moving environment. Role Purpose Lead the organisation s AI capability, strategy, and implementation roadmap. Responsible for identifying, prioritising, and delivering AI solutions that create measurable operational and commercial value. Working across the business, you will oversee the design, deployment, governance, and adoption of AI technologies while helping shape the future AI direction of the organisation. Key Responsibilities Define and lead the organisation s AI strategy, roadmap, and long-term capability development Identify and prioritise AI opportunities across operational, commercial, and customer-facing areas of the business Design and oversee the development of high-performing AI models tailored to business needs Lead AI initiatives from proof of concept and rapid prototyping through to enterprise-scale production deployment Work closely with IT Infrastructure and Development teams to deploy secure, scalable AI solutions into production environments Ensure AI solutions meet enterprise-grade security, governance, and compliance standards including Private Endpoints and secure integrations Drive adoption of AI technologies across the organisation and ensure solutions become embedded within day-to-day workflows Establish AI governance, operational standards, and best practices for deployment, monitoring, scalability, and risk management Implement monitoring and evaluation frameworks for production AI environments, including hallucination detection, drift monitoring, performance optimisation, and GenAIOps processes Ensure AI solutions integrate effectively with existing systems, APIs, and data platforms Collaborate with senior stakeholders to evaluate business value, project feasibility, and ROI before implementation Measure and report on AI project outcomes including efficiency gains, automation improvements, productivity, and customer impact Provide leadership, mentorship, and technical direction to internal teams and future AI hires Stay informed on emerging AI technologies, trends, and opportunities to maintain competitive advantage Required Experience Essential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, Private Endpoints, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong commercial awareness with the ability to assess business value and prioritise AI initiatives effectively Excellent stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences Strong leadership, problem-solving, and strategic thinking capabilities Desirable Experience leading or building internal AI functions or teams Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working within operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience driving organisation-wide AI adoption and change management initiatives Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape and lead AI capability within a growing business Significant long-term career progression opportunities High level of autonomy and influence within the organisation Interested? Please click Apply Now! Head of AI Manchester
Jun 13, 2026
Full time
Head of AI Manchester A growing technology-led business is looking to appoint a Head of AI to lead the development, implementation, and long-term adoption of AI capabilities across the organisation. This is a strategic and hands-on leadership role focused on shaping the company s AI direction while overseeing the successful delivery of AI solutions from concept through to live deployment and business adoption. Working closely with IT, operational, commercial, and leadership teams, you will drive practical AI initiatives using Azure, LLMs, machine learning, and AI agents ensuring solutions are secure, scalable, integrated, and delivering measurable business impact. The organisation is already investing heavily in AI and exploring a broad range of initiatives. They are now looking for an experienced AI leader who can combine technical expertise with strategic thinking, helping define the AI roadmap while building internal capability and leading implementation across the business. This role would suit someone who enjoys building and scaling AI functions, leading innovation, solving operational challenges, and delivering transformational business outcomes in a fast-moving environment. Role Purpose Lead the organisation s AI capability, strategy, and implementation roadmap. Responsible for identifying, prioritising, and delivering AI solutions that create measurable operational and commercial value. Working across the business, you will oversee the design, deployment, governance, and adoption of AI technologies while helping shape the future AI direction of the organisation. Key Responsibilities Define and lead the organisation s AI strategy, roadmap, and long-term capability development Identify and prioritise AI opportunities across operational, commercial, and customer-facing areas of the business Design and oversee the development of high-performing AI models tailored to business needs Lead AI initiatives from proof of concept and rapid prototyping through to enterprise-scale production deployment Work closely with IT Infrastructure and Development teams to deploy secure, scalable AI solutions into production environments Ensure AI solutions meet enterprise-grade security, governance, and compliance standards including Private Endpoints and secure integrations Drive adoption of AI technologies across the organisation and ensure solutions become embedded within day-to-day workflows Establish AI governance, operational standards, and best practices for deployment, monitoring, scalability, and risk management Implement monitoring and evaluation frameworks for production AI environments, including hallucination detection, drift monitoring, performance optimisation, and GenAIOps processes Ensure AI solutions integrate effectively with existing systems, APIs, and data platforms Collaborate with senior stakeholders to evaluate business value, project feasibility, and ROI before implementation Measure and report on AI project outcomes including efficiency gains, automation improvements, productivity, and customer impact Provide leadership, mentorship, and technical direction to internal teams and future AI hires Stay informed on emerging AI technologies, trends, and opportunities to maintain competitive advantage Required Experience Essential Proven experience leading AI strategy, implementation, or AI transformation initiatives within a business environment Deep expertise in Python and modern AI/ML frameworks and SDKs Strong experience building and deploying production-grade AI solutions, including RAG pipelines and LLM-based applications Hands-on experience with AI deployment, operationalisation, monitoring, and scaling Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, Private Endpoints, and secure integrations Experience working with at least one major enterprise AI cloud platform (Azure preferred) Strong SQL skills and experience working with both structured and unstructured data Experience building AI agents, workflow automation, and tool/API integrations Strong commercial awareness with the ability to assess business value and prioritise AI initiatives effectively Excellent stakeholder management and communication skills, with the ability to engage both technical and non-technical audiences Strong leadership, problem-solving, and strategic thinking capabilities Desirable Experience leading or building internal AI functions or teams Experience with LLMOps / GenAIOps tooling and monitoring frameworks Exposure to OCR, computer vision, voice AI, or conversational AI solutions Experience working within operational, retail, automotive, or customer-focused businesses Familiarity with AI governance, security, and scalability best practices Experience driving organisation-wide AI adoption and change management initiatives Salary & Benefits Competitive salary depending on experience Quarterly bonus scheme Hybrid working arrangements 3 days office / 2 days remote Opportunity to shape and lead AI capability within a growing business Significant long-term career progression opportunities High level of autonomy and influence within the organisation Interested? Please click Apply Now! Head of AI Manchester
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Jun 13, 2026
Full time
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to 120,000 + bonus + bens Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA / QLoRA, and optimisation approaches Selecting and evaluating base models (e.g. Mistral, Qwen, Phi, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning / LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI / LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (e.g. HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Embedded Software Engineer Location: Stroud, Gloucestershire Salary: Up to 70,000 KO2's client is a fast-growing, well-funded tech start-up developing advanced sensing and monitoring systems using low-power embedded platforms, intelligent signal processing, and secure wireless connectivity. The Role You'll lead the full embedded development lifecycle, from requirements and system architecture through to firmware development, integration, and production release. You'll work closely with hardware, data, and product teams to deliver robust, low-power sensing solutions for real-world environments. Key Responsibilities Develop low-power embedded firmware in C/C++ Design for battery-operated, ultra-low power systems Implement sensor data acquisition and signal processing (e.g. MEMS microphones, accelerometers) Develop RF communication systems (LoRa/LPWAN, mesh networking) Implement secure communications (encryption, authentication, secure boot) Deploy optimised machine learning models on embedded devices Essential Experience Strong embedded C/C++ development experience Full product lifecycle experience (concept to production) Low-power system design expertise Sensor data processing and RF communications (LoRa or similar) Embedded security and debugging skills Desirable ML for acoustic detection MEMS microphone systems OTA updates and noise mitigation Start-up experience If you're looking to build intelligent, low-power sensing systems from the ground up, KO2 would love to hear from you.
Jun 13, 2026
Full time
Embedded Software Engineer Location: Stroud, Gloucestershire Salary: Up to 70,000 KO2's client is a fast-growing, well-funded tech start-up developing advanced sensing and monitoring systems using low-power embedded platforms, intelligent signal processing, and secure wireless connectivity. The Role You'll lead the full embedded development lifecycle, from requirements and system architecture through to firmware development, integration, and production release. You'll work closely with hardware, data, and product teams to deliver robust, low-power sensing solutions for real-world environments. Key Responsibilities Develop low-power embedded firmware in C/C++ Design for battery-operated, ultra-low power systems Implement sensor data acquisition and signal processing (e.g. MEMS microphones, accelerometers) Develop RF communication systems (LoRa/LPWAN, mesh networking) Implement secure communications (encryption, authentication, secure boot) Deploy optimised machine learning models on embedded devices Essential Experience Strong embedded C/C++ development experience Full product lifecycle experience (concept to production) Low-power system design expertise Sensor data processing and RF communications (LoRa or similar) Embedded security and debugging skills Desirable ML for acoustic detection MEMS microphone systems OTA updates and noise mitigation Start-up experience If you're looking to build intelligent, low-power sensing systems from the ground up, KO2 would love to hear from you.
