The FRC's Audit and Assurance Policy team is responsible for setting auditing and ethical standards for UK audits and issuing guidance to support their implementation. The use of technology, including AI, in audit and assurance has the potential to enhance quality and promote growth in the UK economy. The Audit Technology Policy Specialist will support a range of initiatives to promote the appropriate use of technology in audit. Job Description Accountabilities Supporting the Head of Assurance Technology in drafting guidance on the application of technology in audit, including practical illustrative examples, and influencing international standard setting boards Engaging with audit firms, third party technology providers, UK regulators and international standard setters to obtain insights and support technology adoption Helping standard setting in the UK in response to evolving technology Influencing and supporting international standard setters (in audit, assurance and ethics) in their standard setting and guidance in this area Collaborating with colleagues to ensure a consistent FRC approach to technology in audit Building and maintaining professional expertise and network Skills, Knowledge & Expertise Qualified member of professional accountancy body OR expert in technology and AI policy Good knowledge of auditing and ethical standards applicable in the UK Good knowledge of emerging technologies relevant to audit, including generative and agentic AI Good knowledge of how technology, including AI, is and may be used in audit and related policy challenges Excellent written communicator, with the ability to convey complex ideas clearly' Ability to build and maintain professional network, internally and externally Collaborative approach to working with colleagues from a variety of teams Ability to understand technical drafting and distil underlying principles Creativity and innovation to engage with policymaking in emerging areas Intellectual curiosity to build and maintain cutting edge technology expertise Proactive approach These roles support and enable the delivery of an ambitious program of work to support and respond to the potentially transformative deployment of technology in audit, which has the potential to enhance audit quality and support growth in the UK economy. Please apply by uploading a copy of your CV and covering letter as a single document upload. In the covering letter, please set out, by reference to the person specification above how you meet the required skillset. Rewards and benefits The FRC offers remuneration packages, including 30 days annual leave, ability to buy extra leave. Generous employer pension contribution of 10%. Staff Employee Assistance Programme including confidential counselling and work life services. The FRC offers staff the opportunity to save at least 25% on the purchase of a new bike through the Cycle to work scheme. The FRC has a strong work/life balance ethos. The FRC believes that equality of opportunity and diversity is important in the work that we do and we are strongly committed to being an inclusive employer. Our values of being fair and independent supports this commitment. Equal opportunities monitoring is an important means of demonstrating and implementing our commitment to promoting equality of opportunity and diversity. Completing our diversity form will assist the FRC to identify any barriers that prevent access to employment and career development for certain groups of people, and to develop solutions, such as action plans, new policies and practices. The FRC operates a hybrid working arrangement, with a expectation that 40% per month of a person's working time will be located at one of our offices, with precise arrangements to be agreed between the employee and the line manager The FRC is a Disability Confident Employer and we welcome applications under the Guaranteed Interview Scheme from disabled people as defined by the Equality Act 2010 that meet the minimum requirements for the role. To learn more about the Disability Confident Scheme Click Here The role is based in our central Birmingham office. The post holder should be able to work flexibly to support the team's activities and also provide cover within the FRC as necessary. The FRC operates a hybrid working arrangement with its workforce. The FRC operates a hybrid working arrangement, with a expectation that 40% per month of a person's working time will be located at one of our offices per week, with precise arrangements to be agreed between the employee and the line manager.
Jun 15, 2026
Full time
The FRC's Audit and Assurance Policy team is responsible for setting auditing and ethical standards for UK audits and issuing guidance to support their implementation. The use of technology, including AI, in audit and assurance has the potential to enhance quality and promote growth in the UK economy. The Audit Technology Policy Specialist will support a range of initiatives to promote the appropriate use of technology in audit. Job Description Accountabilities Supporting the Head of Assurance Technology in drafting guidance on the application of technology in audit, including practical illustrative examples, and influencing international standard setting boards Engaging with audit firms, third party technology providers, UK regulators and international standard setters to obtain insights and support technology adoption Helping standard setting in the UK in response to evolving technology Influencing and supporting international standard setters (in audit, assurance and ethics) in their standard setting and guidance in this area Collaborating with colleagues to ensure a consistent FRC approach to technology in audit Building and maintaining professional expertise and network Skills, Knowledge & Expertise Qualified member of professional accountancy body OR expert in technology and AI policy Good knowledge of auditing and ethical standards applicable in the UK Good knowledge of emerging technologies relevant to audit, including generative and agentic AI Good knowledge of how technology, including AI, is and may be used in audit and related policy challenges Excellent written communicator, with the ability to convey complex ideas clearly' Ability to build and maintain professional network, internally and externally Collaborative approach to working with colleagues from a variety of teams Ability to understand technical drafting and distil underlying principles Creativity and innovation to engage with policymaking in emerging areas Intellectual curiosity to build and maintain cutting edge technology expertise Proactive approach These roles support and enable the delivery of an ambitious program of work to support and respond to the potentially transformative deployment of technology in audit, which has the potential to enhance audit quality and support growth in the UK economy. Please apply by uploading a copy of your CV and covering letter as a single document upload. In the covering letter, please set out, by reference to the person specification above how you meet the required skillset. Rewards and benefits The FRC offers remuneration packages, including 30 days annual leave, ability to buy extra leave. Generous employer pension contribution of 10%. Staff Employee Assistance Programme including confidential counselling and work life services. The FRC offers staff the opportunity to save at least 25% on the purchase of a new bike through the Cycle to work scheme. The FRC has a strong work/life balance ethos. The FRC believes that equality of opportunity and diversity is important in the work that we do and we are strongly committed to being an inclusive employer. Our values of being fair and independent supports this commitment. Equal opportunities monitoring is an important means of demonstrating and implementing our commitment to promoting equality of opportunity and diversity. Completing our diversity form will assist the FRC to identify any barriers that prevent access to employment and career development for certain groups of people, and to develop solutions, such as action plans, new policies and practices. The FRC operates a hybrid working arrangement, with a expectation that 40% per month of a person's working time will be located at one of our offices, with precise arrangements to be agreed between the employee and the line manager The FRC is a Disability Confident Employer and we welcome applications under the Guaranteed Interview Scheme from disabled people as defined by the Equality Act 2010 that meet the minimum requirements for the role. To learn more about the Disability Confident Scheme Click Here The role is based in our central Birmingham office. The post holder should be able to work flexibly to support the team's activities and also provide cover within the FRC as necessary. The FRC operates a hybrid working arrangement with its workforce. The FRC operates a hybrid working arrangement, with a expectation that 40% per month of a person's working time will be located at one of our offices per week, with precise arrangements to be agreed between the employee and the line manager.
Full-Stack AI Engineer (next.js/python/azure) - Fully Remote - Outside ir35 (12 month contract) We are working with an established United Arab Emirates Based AI consultancy building advanced investment-grade AI systems across private markets use cases. They deliver production-grade agentic AI systems across the full investment life cycle, including AI-powered due diligence, portfolio optimisation, deal execution support, and Real Time risk monitoring. They are looking for multiple Full-Stack AI Engineers who can build and ship production systems in live enterprise investment environments. Key requirements: Strong React/Next.js and Python development experience Experience building production RAG systems, including chunking strategies, embeddings, retrieval optimisation, and advanced search architectures Hands-on experience with agentic workflows, LangGraph, MCP, Azure OpenAI, and vector databases Experience processing complex enterprise documents using OCR, Document Intelligence, multimodal extraction, or similar technologies Experience deploying scalable applications into cloud/Kubernetes environments (AKS/EKS) Details: Rate: Varying significantly depending on experience (Circa 700 gbp/day outside ir35) Location: Remote (United Arab Emirates collaboration) Engagement: Contract/freelance/B2B/Outside ir35 - 12 months + extensions (multi-year collaboration) Candidates must have strong experience within financial services, ideally across private markets & investment management.
Jun 15, 2026
Contractor
Full-Stack AI Engineer (next.js/python/azure) - Fully Remote - Outside ir35 (12 month contract) We are working with an established United Arab Emirates Based AI consultancy building advanced investment-grade AI systems across private markets use cases. They deliver production-grade agentic AI systems across the full investment life cycle, including AI-powered due diligence, portfolio optimisation, deal execution support, and Real Time risk monitoring. They are looking for multiple Full-Stack AI Engineers who can build and ship production systems in live enterprise investment environments. Key requirements: Strong React/Next.js and Python development experience Experience building production RAG systems, including chunking strategies, embeddings, retrieval optimisation, and advanced search architectures Hands-on experience with agentic workflows, LangGraph, MCP, Azure OpenAI, and vector databases Experience processing complex enterprise documents using OCR, Document Intelligence, multimodal extraction, or similar technologies Experience deploying scalable applications into cloud/Kubernetes environments (AKS/EKS) Details: Rate: Varying significantly depending on experience (Circa 700 gbp/day outside ir35) Location: Remote (United Arab Emirates collaboration) Engagement: Contract/freelance/B2B/Outside ir35 - 12 months + extensions (multi-year collaboration) Candidates must have strong experience within financial services, ideally across private markets & investment management.
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Jun 15, 2026
Contractor
We are seeking a Lead AI Red Teaming & QA Engineer to design and execute automated adversarial testing for our enterprise Agentic AI platforms. You will move beyond traditional software QA to build continuous safety pipelines, ensuring our non-deterministic LLM agents, RAG systems, and tool integrations are secure, resilient, and compliant before production release. Key Responsibilities Automated Adversarial Testing: Build and integrate automated red teaming suites into CI/CD pipelines using frameworks like Garak , Pyrit , and AgentDojo to enforce strict safety release gates. AI Evaluation Frameworks: Develop metrics and continuous testing for core AI risks, including hallucinations, memorisation, algorithmic bias, uncertainty, and model drift . Regulatory Compliance Evidence: Map threat models (OWASP LLM Top 10, Agentic threats) to automated test cases. Produce the technical testing evidence required by EU AI Act Article 15 , DORA , and FCA Operational Resilience guidelines. Centralised AI-BOM Platform: Own the enterprise AI Bill of Materials (AI-BOM) , tracking model lineages, dataset versions, and signed artifacts as a centralized evaluation service. Required Technical Skills Regulated Finance: Proven experience testing software within FCA, DORA, or EU AI Act frameworks. AWS Bedrock Ecosystem: Hands-on experience configuring, testing, and bypassing Bedrock Guardrails, Agents, and Knowledge Bases (RAG) . AI Security & Fundamentals: Solid understanding of Foundation Models, tool use (function calling), OWASP LLM Top 10 , and NIST AI RMF . Automation Stack: Strong Python development skills, experience with AI eval tools (Garak, Pyrit, Ragas), and building complex CI/CD test pipelines. Randstad Technologies is acting as an Employment Business in relation to this vacancy.
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Jun 15, 2026
Full time
Description London, UK Hybrid (3 days in our Paddington HQ: Mon, Tue, Fri) Stack: Python, Flask, SQLAlchemy, MySQL, AWS (React on the frontend) In 2018 we set out to solve a problem millions of people faced: not just struggling with their skin, but struggling to navigate skincare at all. We combined dermatology, pharmacy and technology into something simpler and genuinely personalised, and proved expert-led care could reach people who'd never had access to it. Today, +Me is the company behind Skin + Me, Hair + Me and Renew + Me , with more on the horizon. We're not building a single brand. We're building a category. We've delivered millions of treatments, we're profitable and growing fast, and we're expanding the engineering team to match. What you'll build You ll join the team behind our core commerce and clinical journey: the ecom stack, consultation engine, patient and prescription systems, and order generation. This is where customers discover us, complete a clinical consultation, subscribe, and receive their personalised treatment, at real consumer scale. On our Python and React stack, that's the storefront behind Skin + Me and Hair + Me, our flagship brands serving customers at scale. We're hiring a Backend Engineer to go deep on the server side of this system in our Python / Flask stack: the APIs, data models and services behind consultations, prescriptions and orders. You'll learn fast alongside experienced engineers who'll back your growth, and you'll be comfortable making frontend (React) changes when a feature needs it, but backend is your craft. What you'll do Build the services behind the journey: APIs, data models and services powering consultations, prescriptions and order generation, with support from senior engineers. Ship and own: take backend features from ticket to production and keep them fast, correct and healthy once they're live. Write code others build on: clean, well-tested, and clear enough for the next person to pick up. What we're looking for Backend depth: solid, recent, hands-on experience building backend services and APIs in Python (Flask). A non-trivial piece of work you can walk us through and explain well. Good fundamentals: sound data modelling (SQLAlchemy/Alembic), sensible API design, and an instinct for testing. Care where it counts: you treat correctness as a feature, because this code generates real prescriptions and orders. Enough frontend to be useful: comfortable making React changes when a feature needs it (frontend won't be your main focus). The stack: Python and Flask; relational databases (MySQL ideal); some exposure to AWS/Docker is a plus. Clear communication: much of our work is written (PRs, docs), so explaining a decision crisply matters. Roughly 3-6 years building software in production. We read for depth in your area, not years. How we work We're a small, experienced engineering team working closely with product, clinical and operations. We care about craft: clean code, honest reviews, and owning what you ship through to production. And because our software turns a clinical consultation into a real prescription and a treatment someone receives, correctness and care aren't optional here. They're the job. How we use AI Agentic tools like Claude Code and Codex are a standard part of how we work, and we're leaning into them hard: we automate the routine so we can spend our energy on the harder problems. You'll need to be comfortable working this way, and real skill with these tools is a genuine advantage we value. But it's a multiplier on strong engineering judgement, not a substitute for it, and never a prerequisite. If it's newer to you and you're keen to grow, we'll back you. Compensation & benefits We pay competitive base salaries and back them with meaningful equity, so your upside grows with the company you're helping build. Equity: a meaningful stake in a profitable, Series B-backed business that's growing fast, with flexibility on your cash/equity mix. Time off: 25 days holiday plus bank holidays. Hybrid & flexible: three days together in Paddington (Mon, Tue, Fri), remote Wed/Thu, core hours 10-4 with flexibility around them. Fuelled: free breakfast and lunch on office days, plus snacks and drinks. Growth: a £500 annual personal development budget. Family & health: healthcare cash plan, cycle-to-work, and a workplace nursery scheme (save tax/NI on childcare). The extras: a dog-friendly HQ (two resident pups), an active Culture Club, and heavily discounted products for you and 10 friends & family. How we hire We keep it short and respect your time: Intro call with our engineers (25-30 mins), including a short system-design chat. A conversation with our Director of Software Engineering (30 mins). A practical take-home task, in your own time. Onsite at our Paddington HQ to review your task and meet the team. Great engineers come from all kinds of backgrounds. If this resonates, even if you don't tick every box, we'd love to hear from you. Sound like you? We'd love to hear from you.
Location Birmingham, Bristol, Cardiff, Leeds, Manchester, Nottingham, Swindon About the job Job summary The Government Property Agency is the largest property holder in government, with more than £2.1 billion in property assets and over 55% of the government's office estate. We are transforming the way the Civil Service works by creating great places to work, leading the largest commercial office programme in the UK, working towards halving carbon emissions from government offices, and achieving greater value for taxpayers. And we are looking for innovative, solutions-focused people to join our team. Representing the best covenant in the UK - His Majesty's Government - we are leading significant transformational programmes such as the Government Hubs Programme, Whitehall Campus Programme and Net Zero Programme. We are also delivering cost- effective property services such as asset management, lifecycle replacement and workplace services. Innovation and progress underpin our behaviours. We foster a culture of lifelong learning, where curiosity and self-improvement are encouraged. Our four core values are at the heart of everything we do. They shape our culture and guide how we work, lead and grow together: Striving for excellence - We always aim to deliver great results Empowering through respect - We insist on fair treatment for all, always Acting with integrity - We consistently do the right thing Succeeding together - We rely on each other to achieve success The GPA is committed to representing the communities we serve by making Diversity, Equality and Inclusion part of everything we do. To ensure that we are always recruiting and retaining a diverse mix of talent, we are particularly inviting applications from candidates who are disabled, ethnically or gender diverse, and people who identify as being part of the LGBTQ+ community. Join our dynamic and diverse team that leads with purpose, improving sustainability, nurturing social value, driving inclusivity and flexibility, and kickstarting economic growth. We are driven by purpose, and you can be part of it too: where you make a meaningful impact; where you influence; where your voice really matters; where you help to shape our future direction. Job description Are you a visionary Business Analyst who thrives on delivering transformational digital services? Join our Digital Service Transformation Team and spearhead the rollout of end to end ServiceNow capabilities spanning HR Service Delivery (HRSD), Customer Service Management (CSM), IT Service Management (ITSM), IT Operations Management (ITOM), Business Continuity Management (BCM), Governance, Risk & Compliance (GRC), Software Asset Management (SAM), and Strategic Portfolio Management (SPM). You will also harness ServiceNow's built-in Generative AI, Agentic AI and mobile app frameworks to deliver intuitive, intelligent self service experiences. Working in a fast paced, high stakes environment, you will integrate ServiceNow with enterprise systems like Planon IWMS, Salesforce CRM, and Microsoft 365/Azure, driving seamless data flows and optimised processes. Your efforts will directly impact how civil servants and citizens access services enhancing efficiency, responsiveness, and transparency across the department. As a Business Analyst specialising in ServiceNow, you will lead the discovery, design and implementation of the following modules: Human Resources Service Delivery (HRSD) Customer Service Management (CSM) IT Service Management (ITSM) Configuration Management Database (CMDB) Common Service Data Model (CSDM) IT Operations Management (ITOM) Business Continuity Management (BCM) Governance, Risk & Compliance (GRC) Software Asset Management (SAM) Strategic Portfolio Management (SPM) ServiceNow Mobile App ServiceNow AI (Gen AI & Agentic AI) ServiceNow Integrations - Pilgrim (Planon) IWMS, Salesforce, Microsoft and other systems Business Analysis Elicit, capture, and document business requirements from diverse stakeholders both internal and external clients and customers. Produce key artefacts including: Business Requirements Documents (BRDs) with functional and non-functional requirements End-to-end process maps and data flow diagrams User personas and user journey maps Use cases and detailed user stories with acceptance criteria Requirements traceability matrix Analyse and prioritise requirements for ServiceNow modules (HRSD, CSM, ITSM, ITOM, BCM, GRC, SAM, SPM) and ensure alignment with business objectives. Business Process Improvement Create as-is and to-be process maps for workflows to be automated in ServiceNow. Identify opportunities for process optimisation, automation, and self-service enablement. Recommend improvements that leverage ServiceNow GenAI and mobile applications to enhance user experience and service efficiency. Requirements Definition & Management Define, manage, and validate requirements throughout the project lifecycle. Maintain clear requirements traceability from business needs through to delivered features and test scenarios. Support scope management and ensure alignment between business priorities, technical delivery, and compliance requirements. Change Implementation Planning & Management Contribute to the planning and execution of ServiceNow rollouts and upgrades. Support implementation of integrations with enterprise platforms (Planon, Salesforce, Microsoft 365/Azure). Participate in release planning, roadmap discussions, and adoption strategies to ensure smooth transitions and minimal business disruption. Stakeholder Relationship Management Build strong relationships with internal and external stakeholders, acting as the key bridge between business teams and technical developers. Facilitate workshops, demonstrations, and playback sessions to validate requirements and showcase progress. Ensure that stakeholder needs are communicated clearly and reflected in delivered solutions. Organisational Change Management Support change impact assessments for new ServiceNow features, GenAI enhancements, and mobile app rollouts. Develop communication materials, training content, and guidance to drive adoption of new processes and tools. Champion a user-centred approach, ensuring accessibility and inclusion in service design. Testing Define and document test scenarios, test cases, and UAT scripts linked directly to requirements. Coordinate UAT sessions with business stakeholders to validate functionality, usability, and data quality. Support defect triage and ensure that delivered solutions meet business and compliance needs. Person specification Essential criteria: ServiceNow Expertise: Experience as a Business Analyst or Functional Consultant leading multi module ServiceNow implementations (HRSD, CSM, ITSM, ITOM, BCM, GRC, SAM, SPM). Proven track record integrating ServiceNow with external platforms (Planon, Salesforce, Microsoft 365/Azure) in a regulated environment. Analytical & Communication Skills: Exceptional ability to translate complex technical concepts into compelling narratives for stakeholders at all levels. Strong facilitation skills leading collaborative design sessions, de risking through early prototyping, and guiding user acceptance testing. Proven experience creating and maintaining core BA artefacts (BRD, process maps, user personas, RTM, test cases). UK Government Background (Preferred): Familiarity with UK government standards such as Service Standard, Service Manual, Service Assessment, GDPR / DPIA, Cyber Assessment Framework (CAF), and digital accessibility (WCAG) requirements. Technical Aptitude: Proficient in process mapping tools (Visio, Lucidchart) and agile project management (Jira, Azure DevOps). Understanding of ServiceNow scripting (Business Rules, Client Scripts, UI Policies) to collaborate effectively with development teams. Comfortable working within Agile/Scrum ceremonies backlog grooming, sprint planning, retrospectives.
Jun 15, 2026
Full time
Location Birmingham, Bristol, Cardiff, Leeds, Manchester, Nottingham, Swindon About the job Job summary The Government Property Agency is the largest property holder in government, with more than £2.1 billion in property assets and over 55% of the government's office estate. We are transforming the way the Civil Service works by creating great places to work, leading the largest commercial office programme in the UK, working towards halving carbon emissions from government offices, and achieving greater value for taxpayers. And we are looking for innovative, solutions-focused people to join our team. Representing the best covenant in the UK - His Majesty's Government - we are leading significant transformational programmes such as the Government Hubs Programme, Whitehall Campus Programme and Net Zero Programme. We are also delivering cost- effective property services such as asset management, lifecycle replacement and workplace services. Innovation and progress underpin our behaviours. We foster a culture of lifelong learning, where curiosity and self-improvement are encouraged. Our four core values are at the heart of everything we do. They shape our culture and guide how we work, lead and grow together: Striving for excellence - We always aim to deliver great results Empowering through respect - We insist on fair treatment for all, always Acting with integrity - We consistently do the right thing Succeeding together - We rely on each other to achieve success The GPA is committed to representing the communities we serve by making Diversity, Equality and Inclusion part of everything we do. To ensure that we are always recruiting and retaining a diverse mix of talent, we are particularly inviting applications from candidates who are disabled, ethnically or gender diverse, and people who identify as being part of the LGBTQ+ community. Join our dynamic and diverse team that leads with purpose, improving sustainability, nurturing social value, driving inclusivity and flexibility, and kickstarting economic growth. We are driven by purpose, and you can be part of it too: where you make a meaningful impact; where you influence; where your voice really matters; where you help to shape our future direction. Job description Are you a visionary Business Analyst who thrives on delivering transformational digital services? Join our Digital Service Transformation Team and spearhead the rollout of end to end ServiceNow capabilities spanning HR Service Delivery (HRSD), Customer Service Management (CSM), IT Service Management (ITSM), IT Operations Management (ITOM), Business Continuity Management (BCM), Governance, Risk & Compliance (GRC), Software Asset Management (SAM), and Strategic Portfolio Management (SPM). You will also harness ServiceNow's built-in Generative AI, Agentic AI and mobile app frameworks to deliver intuitive, intelligent self service experiences. Working in a fast paced, high stakes environment, you will integrate ServiceNow with enterprise systems like Planon IWMS, Salesforce CRM, and Microsoft 365/Azure, driving seamless data flows and optimised processes. Your efforts will directly impact how civil servants and citizens access services enhancing efficiency, responsiveness, and transparency across the department. As a Business Analyst specialising in ServiceNow, you will lead the discovery, design and implementation of the following modules: Human Resources Service Delivery (HRSD) Customer Service Management (CSM) IT Service Management (ITSM) Configuration Management Database (CMDB) Common Service Data Model (CSDM) IT Operations Management (ITOM) Business Continuity Management (BCM) Governance, Risk & Compliance (GRC) Software Asset Management (SAM) Strategic Portfolio Management (SPM) ServiceNow Mobile App ServiceNow AI (Gen AI & Agentic AI) ServiceNow Integrations - Pilgrim (Planon) IWMS, Salesforce, Microsoft and other systems Business Analysis Elicit, capture, and document business requirements from diverse stakeholders both internal and external clients and customers. Produce key artefacts including: Business Requirements Documents (BRDs) with functional and non-functional requirements End-to-end process maps and data flow diagrams User personas and user journey maps Use cases and detailed user stories with acceptance criteria Requirements traceability matrix Analyse and prioritise requirements for ServiceNow modules (HRSD, CSM, ITSM, ITOM, BCM, GRC, SAM, SPM) and ensure alignment with business objectives. Business Process Improvement Create as-is and to-be process maps for workflows to be automated in ServiceNow. Identify opportunities for process optimisation, automation, and self-service enablement. Recommend improvements that leverage ServiceNow GenAI and mobile applications to enhance user experience and service efficiency. Requirements Definition & Management Define, manage, and validate requirements throughout the project lifecycle. Maintain clear requirements traceability from business needs through to delivered features and test scenarios. Support scope management and ensure alignment between business priorities, technical delivery, and compliance requirements. Change Implementation Planning & Management Contribute to the planning and execution of ServiceNow rollouts and upgrades. Support implementation of integrations with enterprise platforms (Planon, Salesforce, Microsoft 365/Azure). Participate in release planning, roadmap discussions, and adoption strategies to ensure smooth transitions and minimal business disruption. Stakeholder Relationship Management Build strong relationships with internal and external stakeholders, acting as the key bridge between business teams and technical developers. Facilitate workshops, demonstrations, and playback sessions to validate requirements and showcase progress. Ensure that stakeholder needs are communicated clearly and reflected in delivered solutions. Organisational Change Management Support change impact assessments for new ServiceNow features, GenAI enhancements, and mobile app rollouts. Develop communication materials, training content, and guidance to drive adoption of new processes and tools. Champion a user-centred approach, ensuring accessibility and inclusion in service design. Testing Define and document test scenarios, test cases, and UAT scripts linked directly to requirements. Coordinate UAT sessions with business stakeholders to validate functionality, usability, and data quality. Support defect triage and ensure that delivered solutions meet business and compliance needs. Person specification Essential criteria: ServiceNow Expertise: Experience as a Business Analyst or Functional Consultant leading multi module ServiceNow implementations (HRSD, CSM, ITSM, ITOM, BCM, GRC, SAM, SPM). Proven track record integrating ServiceNow with external platforms (Planon, Salesforce, Microsoft 365/Azure) in a regulated environment. Analytical & Communication Skills: Exceptional ability to translate complex technical concepts into compelling narratives for stakeholders at all levels. Strong facilitation skills leading collaborative design sessions, de risking through early prototyping, and guiding user acceptance testing. Proven experience creating and maintaining core BA artefacts (BRD, process maps, user personas, RTM, test cases). UK Government Background (Preferred): Familiarity with UK government standards such as Service Standard, Service Manual, Service Assessment, GDPR / DPIA, Cyber Assessment Framework (CAF), and digital accessibility (WCAG) requirements. Technical Aptitude: Proficient in process mapping tools (Visio, Lucidchart) and agile project management (Jira, Azure DevOps). Understanding of ServiceNow scripting (Business Rules, Client Scripts, UI Policies) to collaborate effectively with development teams. Comfortable working within Agile/Scrum ceremonies backlog grooming, sprint planning, retrospectives.
AI Associate Director (London) - Client-Facing AI Solutions & Architecture Overview Method has partnered with a digital consulting firm investing heavily in its AI and client-facing technology capabilities. As the business continues to evolve its AI offering, they are looking to hire an Associate Director to help shape, design, and deliver enterprise AI solutions across a growing portfolio of clients. This role is suited to someone who combines strong technical understanding of modern AI technologies with the ability to engage confidently with senior client stakeholders. You will play a key role in translating business challenges into practical AI solutions, supporting both pre-sales activity and delivery execution across consulting engagements. The Opportunity AI is becoming a core part of how the business delivers value to clients. This role will sit at the intersection of solution architecture, client advisory, and AI implementation, helping clients understand how technologies such as generative AI, LLMs, and agentic workflows can be applied in real-world enterprise environments. You will work closely with Partners, delivery teams, and clients to shape AI-enabled solutions that are commercially viable, technically scalable, and deliver measurable outcomes. Key Responsibilities Lead technical discovery sessions with clients to understand business challenges, operational processes, and AI opportunities Design and architect AI-enabled solutions across areas such as generative AI, LLMs, agentic workflows, automation, and enterprise integration Support RFPs, proposals, and pre-sales engagements by defining solution approaches, technical architecture, delivery models, and implementation plans Work closely with consulting and engineering teams to ensure solutions are practical, scalable, secure, and aligned to client requirements Translate complex technical concepts into clear business-focused recommendations for senior stakeholders Provide hands-on input into AI implementation projects, including solution design, workflow architecture, tooling decisions, and platform selection Support the development of repeatable AI-enabled offerings, accelerators, and frameworks across the consulting practice Act as a trusted advisor to clients throughout discovery, design, and early delivery phases Stay current on emerging AI technologies, enterprise adoption trends, governance considerations, and market developments Technical Focus Areas Agentic AI and enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems integration Azure OpenAI, AWS Bedrock, GCP Vertex AI, or similar platforms Enterprise AI governance, scalability, and deployment considerations AI-enabled automation and operational transformation Skills & Experience Experience delivering AI, data, or digital transformation solutions within a consulting or professional services environment Strong understanding of agentic AI, LLMs, and modern AI solution patterns Experience leading client-facing workshops, technical discovery sessions, and solution discussions Proven ability to shape technical solutions for proposals, RFPs, and consulting engagements Strong stakeholder management skills with the ability to engage credibly with both technical and non-technical audiences Experience working across architecture, delivery, and advisory functions within complex enterprise environments Ability to balance hands-on technical involvement with client engagement responsibilities Consulting experience from firms or similar environments would be highly beneficial Why This Role Opportunity to help shape a growing AI capability within an evolving consulting business High exposure to enterprise AI transformation programmes and senior client stakeholders Broad role spanning advisory, architecture, solution design, and delivery engagement Clear progression path into broader AI leadership responsibilities over time £100,000-£130,000 base + bonus AI Associate Director (London) - Client-Facing AI Solutions & Architecture RSG Plc is acting as an Employment Agency in relation to this vacancy.
Jun 15, 2026
Full time
AI Associate Director (London) - Client-Facing AI Solutions & Architecture Overview Method has partnered with a digital consulting firm investing heavily in its AI and client-facing technology capabilities. As the business continues to evolve its AI offering, they are looking to hire an Associate Director to help shape, design, and deliver enterprise AI solutions across a growing portfolio of clients. This role is suited to someone who combines strong technical understanding of modern AI technologies with the ability to engage confidently with senior client stakeholders. You will play a key role in translating business challenges into practical AI solutions, supporting both pre-sales activity and delivery execution across consulting engagements. The Opportunity AI is becoming a core part of how the business delivers value to clients. This role will sit at the intersection of solution architecture, client advisory, and AI implementation, helping clients understand how technologies such as generative AI, LLMs, and agentic workflows can be applied in real-world enterprise environments. You will work closely with Partners, delivery teams, and clients to shape AI-enabled solutions that are commercially viable, technically scalable, and deliver measurable outcomes. Key Responsibilities Lead technical discovery sessions with clients to understand business challenges, operational processes, and AI opportunities Design and architect AI-enabled solutions across areas such as generative AI, LLMs, agentic workflows, automation, and enterprise integration Support RFPs, proposals, and pre-sales engagements by defining solution approaches, technical architecture, delivery models, and implementation plans Work closely with consulting and engineering teams to ensure solutions are practical, scalable, secure, and aligned to client requirements Translate complex technical concepts into clear business-focused recommendations for senior stakeholders Provide hands-on input into AI implementation projects, including solution design, workflow architecture, tooling decisions, and platform selection Support the development of repeatable AI-enabled offerings, accelerators, and frameworks across the consulting practice Act as a trusted advisor to clients throughout discovery, design, and early delivery phases Stay current on emerging AI technologies, enterprise adoption trends, governance considerations, and market developments Technical Focus Areas Agentic AI and enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems integration Azure OpenAI, AWS Bedrock, GCP Vertex AI, or similar platforms Enterprise AI governance, scalability, and deployment considerations AI-enabled automation and operational transformation Skills & Experience Experience delivering AI, data, or digital transformation solutions within a consulting or professional services environment Strong understanding of agentic AI, LLMs, and modern AI solution patterns Experience leading client-facing workshops, technical discovery sessions, and solution discussions Proven ability to shape technical solutions for proposals, RFPs, and consulting engagements Strong stakeholder management skills with the ability to engage credibly with both technical and non-technical audiences Experience working across architecture, delivery, and advisory functions within complex enterprise environments Ability to balance hands-on technical involvement with client engagement responsibilities Consulting experience from firms or similar environments would be highly beneficial Why This Role Opportunity to help shape a growing AI capability within an evolving consulting business High exposure to enterprise AI transformation programmes and senior client stakeholders Broad role spanning advisory, architecture, solution design, and delivery engagement Clear progression path into broader AI leadership responsibilities over time £100,000-£130,000 base + bonus AI Associate Director (London) - Client-Facing AI Solutions & Architecture RSG Plc is acting as an Employment Agency in relation to this vacancy.
AI Software Engineer, Firebase, GCP, COR7557D An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Jun 14, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557D An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
AI Software Engineer, Firebase, GCP, COR7557C An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Jun 14, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557C An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
AI Software Engineer, Firebase, GCP, COR7557E An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Jun 14, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557E An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Jun 14, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Recruitment Consultant - Permanent Division Location: Chatham (Hybrid Working) Contract: Full-Time, Permanent Salary: 28,000 - 30,000 DOE + Uncapped Bonus Why Join Us? At Adecco, we don't just fill roles, we shape careers and build long-term partnerships. As a global leader in workforce solutions, we combine a people-first approach with cutting-edge technology to deliver exceptional results. We're also investing in the future of recruitment, with advanced Agentic AI tools that help our consultants work smarter, increase productivity, and provide deeper insight to clients and candidates alike. If you're looking for a role where relationships, quality, and innovation truly matter, this is it! What You'll Be Doing As a Recruitment Consultant in our Permanent Division, you'll specialise in commercial and skilled industrial roles across the Mid-Kent area. This is a consultative, relationship-driven role where success comes from delivering quality outcomes, not just filling vacancies. Key Responsibilities Managing the full end-to-end permanent recruitment process Building and maintaining strong, long-term client and candidate relationships Acting as a trusted advisor to candidates throughout their career journey Developing your market through proactive business development and networking Sourcing and engaging high-quality candidates using diverse attraction strategies Providing expert market insight, including salary benchmarking and talent trends Managing offers, negotiations, onboarding, and post-placement care Ensuring a consistently high-quality, compliant recruitment experience About You We're looking for someone who is driven, consultative, and passionate about people. You'll likely be: An experienced recruiter or a high-performing B2B sales professional A strong relationship builder who thrives on working closely with clients and candidates Confident, credible, and able to influence multiple stakeholders Commercially focused, resilient, and results-driven Highly organised, proactive, and comfortable managing a varied workload Interested in the local Mid-Kent market and building your presence What We Offer Competitive base salary with uncapped commission Clear and structured career progression within a global organisation Industry-leading training, tools, and AI-enabled technology A supportive, inclusive team environment with strong local leadership The opportunity to build your personal brand in your specialist market Benefits Hybrid working (3 days office / 2 days home) Company pension scheme BUPA private health insurance 22 days holiday rising to 28 (plus option to buy up to 8 more days) Your birthday off Paid volunteering days Access to Boost (flexible benefits and retail discounts) Annual award winner's prizes, including exclusive trips to luxury settings Incentive prizes such as fine dining, team nights out and vouchers for you to spend as you choose Cycle to Work scheme Salary sacrifice scheme for the latest technology Why Adecco? We believe recruitment is about long-term impact, not short-term wins. By combining human expertise with powerful AI tools, we enable our consultants to deliver smarter, more strategic solutions. If you're a sales professional ready to step into a truly consultative role - where candidate experience is just as important as commercial success - we'd love to hear from you. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Jun 14, 2026
Full time
Recruitment Consultant - Permanent Division Location: Chatham (Hybrid Working) Contract: Full-Time, Permanent Salary: 28,000 - 30,000 DOE + Uncapped Bonus Why Join Us? At Adecco, we don't just fill roles, we shape careers and build long-term partnerships. As a global leader in workforce solutions, we combine a people-first approach with cutting-edge technology to deliver exceptional results. We're also investing in the future of recruitment, with advanced Agentic AI tools that help our consultants work smarter, increase productivity, and provide deeper insight to clients and candidates alike. If you're looking for a role where relationships, quality, and innovation truly matter, this is it! What You'll Be Doing As a Recruitment Consultant in our Permanent Division, you'll specialise in commercial and skilled industrial roles across the Mid-Kent area. This is a consultative, relationship-driven role where success comes from delivering quality outcomes, not just filling vacancies. Key Responsibilities Managing the full end-to-end permanent recruitment process Building and maintaining strong, long-term client and candidate relationships Acting as a trusted advisor to candidates throughout their career journey Developing your market through proactive business development and networking Sourcing and engaging high-quality candidates using diverse attraction strategies Providing expert market insight, including salary benchmarking and talent trends Managing offers, negotiations, onboarding, and post-placement care Ensuring a consistently high-quality, compliant recruitment experience About You We're looking for someone who is driven, consultative, and passionate about people. You'll likely be: An experienced recruiter or a high-performing B2B sales professional A strong relationship builder who thrives on working closely with clients and candidates Confident, credible, and able to influence multiple stakeholders Commercially focused, resilient, and results-driven Highly organised, proactive, and comfortable managing a varied workload Interested in the local Mid-Kent market and building your presence What We Offer Competitive base salary with uncapped commission Clear and structured career progression within a global organisation Industry-leading training, tools, and AI-enabled technology A supportive, inclusive team environment with strong local leadership The opportunity to build your personal brand in your specialist market Benefits Hybrid working (3 days office / 2 days home) Company pension scheme BUPA private health insurance 22 days holiday rising to 28 (plus option to buy up to 8 more days) Your birthday off Paid volunteering days Access to Boost (flexible benefits and retail discounts) Annual award winner's prizes, including exclusive trips to luxury settings Incentive prizes such as fine dining, team nights out and vouchers for you to spend as you choose Cycle to Work scheme Salary sacrifice scheme for the latest technology Why Adecco? We believe recruitment is about long-term impact, not short-term wins. By combining human expertise with powerful AI tools, we enable our consultants to deliver smarter, more strategic solutions. If you're a sales professional ready to step into a truly consultative role - where candidate experience is just as important as commercial success - we'd love to hear from you. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Deerfoot Recruitment Solutions Limited
City, London
Senior AI Engineer - Consulting Office location to choose from: Glasgow, London or Manchester Hybrid Working - 1-2 days per week in the office 70,000 + Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant / Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions. The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance and best practices Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP Collaborating with technical and non-technical stakeholders to deliver measurable business value Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry A strong consulting mindset with experience engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure, AWS or GCP You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package. Senior AI Engineer / AI Engineering Consultant / Generative AI Consultant / Senior Machine Learning Engineer / AI & ML Consultant / MLOps Engineer / LLM Engineer / AI Engineering Consultant / Senior AI Engineer / Generative AI Engineer / AI Solutions Architect / Data & AI Consultant / AI Solutions Consultant / Cloud AI Engineer / Applied AI Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Jun 13, 2026
Full time
Senior AI Engineer - Consulting Office location to choose from: Glasgow, London or Manchester Hybrid Working - 1-2 days per week in the office 70,000 + Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant / Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions. The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance and best practices Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP Collaborating with technical and non-technical stakeholders to deliver measurable business value Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry A strong consulting mindset with experience engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure, AWS or GCP You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package. Senior AI Engineer / AI Engineering Consultant / Generative AI Consultant / Senior Machine Learning Engineer / AI & ML Consultant / MLOps Engineer / LLM Engineer / AI Engineering Consultant / Senior AI Engineer / Generative AI Engineer / AI Solutions Architect / Data & AI Consultant / AI Solutions Consultant / Cloud AI Engineer / Applied AI Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Agentic AI Specialist (Enterprise AI) Closing date: 23rd June 2026 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £61,460 - £95,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight click apply for full job details
Jun 13, 2026
Full time
Agentic AI Specialist (Enterprise AI) Closing date: 23rd June 2026 Location: RG7 4PR , located between Reading and Basingstoke, with free onsite parking . Package: £61,460 - £95,000 (depending on your suitability, qualifications, and level of experience) Working pattern: AWE operates a 9-day working fortnight click apply for full job details
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 13, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 13, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
AI Engineer Hybrid Python AWS LLMs Agentic AI We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform. This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally. You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience. What you'll be doing Building and deploying production AI applications using LLMs Designing agentic workflows and multi-step AI pipelines Developing scalable backend APIs and cloud-native services Creating RAG pipelines, embeddings and AI retrieval systems Improving AI reliability through testing, evaluation and guardrails Working closely with engineering, product and business teams Contributing to architecture decisions and AI best practice Helping shape the future direction of AI capability across the business Tech environment Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for Strong Python backend engineering experience Experience building and deploying LLM-based applications Good understanding of APIs, distributed systems and cloud platforms Hands-on experience with RAG, embeddings and AI orchestration Experience with Docker/Kubernetes and modern engineering practices Someone comfortable operating in a fast-moving product environment Nice to have Experience with agentic AI frameworks AI evaluation and guardrail implementation Fine-tuning or hosting LLMs Reinforcement learning or planning systems MSc or PhD in a relevant discipline Why apply? Opportunity to work on genuinely cutting-edge AI products High-impact engineering role with real ownership Modern tech stack and AI-first environment Fully remote flexibility Strong growth plans and long-term AI investment If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.
Jun 13, 2026
Full time
AI Engineer Hybrid Python AWS LLMs Agentic AI We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation. They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform. This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally. You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience. What you'll be doing Building and deploying production AI applications using LLMs Designing agentic workflows and multi-step AI pipelines Developing scalable backend APIs and cloud-native services Creating RAG pipelines, embeddings and AI retrieval systems Improving AI reliability through testing, evaluation and guardrails Working closely with engineering, product and business teams Contributing to architecture decisions and AI best practice Helping shape the future direction of AI capability across the business Tech environment Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling. What they're looking for Strong Python backend engineering experience Experience building and deploying LLM-based applications Good understanding of APIs, distributed systems and cloud platforms Hands-on experience with RAG, embeddings and AI orchestration Experience with Docker/Kubernetes and modern engineering practices Someone comfortable operating in a fast-moving product environment Nice to have Experience with agentic AI frameworks AI evaluation and guardrail implementation Fine-tuning or hosting LLMs Reinforcement learning or planning systems MSc or PhD in a relevant discipline Why apply? Opportunity to work on genuinely cutting-edge AI products High-impact engineering role with real ownership Modern tech stack and AI-first environment Fully remote flexibility Strong growth plans and long-term AI investment If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.
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.
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 13, 2026
Full time
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 13, 2026
Full time
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment. AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid
Jun 13, 2026
Full time
AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands-on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting-edge Generative AI technologies in a secure, innovation-driven environment. AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid AI Engineer / Azure / Generative AI / Permanent / London / Hybrid
