AI Engineer Salary: Up to £85,000 + Bonus + Benefits Location: Hybrid - 3 days per week onsite in Central London Working Hours: Full time - Monday to Friday We are recruiting multiple AI Engineers to join a global organisation investing heavily in AI, automation and intelligent systems. Working within a highly skilled engineering team, the AI Engineer will design, build and deploy production grade AI solutions that solve real business challenges at scale. This AI Engineer role is a hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic AI and machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across the AI function Essential Skills for the AI Engineer: Strong Python development experience Commercial experience with LLMs, prompt engineering and AI application development Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or similar Experience with RAG architectures, vector databases and semantic search Experience deploying AI solutions within cloud environments Understanding of MLOps, LLMOps and production AI systems Strong communication skills and the ability to work with technical and non technical stakeholders If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI Engineer, AI, Artificial Intelligence, Gen AI Developer
Jun 23, 2026
Full time
AI Engineer Salary: Up to £85,000 + Bonus + Benefits Location: Hybrid - 3 days per week onsite in Central London Working Hours: Full time - Monday to Friday We are recruiting multiple AI Engineers to join a global organisation investing heavily in AI, automation and intelligent systems. Working within a highly skilled engineering team, the AI Engineer will design, build and deploy production grade AI solutions that solve real business challenges at scale. This AI Engineer role is a hands on engineering position suited to individuals who enjoy building end to end AI applications, working with large language models, agentic workflows and modern machine learning technologies. Responsibilities for the AI Engineer: Develop and deploy AI powered applications, services and APIs Build solutions using Generative AI, Agentic AI and machine learning techniques Design and optimise RAG pipelines, vector search solutions and AI workflows Integrate AI capabilities into existing platforms and business systems Collaborate with engineers, data specialists and business stakeholders to deliver high impact solutions Contribute to technical best practice and support continuous improvement across the AI function Essential Skills for the AI Engineer: Strong Python development experience Commercial experience with LLMs, prompt engineering and AI application development Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI or similar Experience with RAG architectures, vector databases and semantic search Experience deploying AI solutions within cloud environments Understanding of MLOps, LLMOps and production AI systems Strong communication skills and the ability to work with technical and non technical stakeholders If you are an AI Engineer with strong full-stack capability and a passion for delivering enterprise-grade AI solutions, please apply in the immediate instance. AI Engineer, AI, Artificial Intelligence, Gen AI Developer
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI/Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; £90-115,000 base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
Jun 23, 2026
Full time
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI/Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; £90-115,000 base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales
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 23, 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.
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 20, 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)
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 20, 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)
Chief Technology Officer Location : Hybrid/Office based in London EC4R Salary : £170,000+ and 20% performance-related bonus + Excellent Benefits! Contract Type : Full Time, Permanent What We Can Offer You : 30 Days Annual Leave, 20% share package, Additional Holiday Purchase, Hybrid Working, Life Assurance, Vitality Private Healthcare, Subsidised Gym Memberships, Cycle to Work Scheme, Discount Vouchers and Access to Wellbeing Resources Why Do We Want You We are seeking a bold, visionary, and hands-on Chief Technology Officer to lead Wilmington Plc s technology strategy at a defining moment in our journey. Wilmington is undergoing a significant evolution, repositioning itself as a RegTech Business Services platform. Technology is no longer a support function, it is the engine that will drive our growth, differentiation, and long-term success. This role exists because we are serious about transformation. As CTO, you will play a central role in shaping how Wilmington looks, operates, and competes in the future. You will unite platforms, people, data, and products into a coherent, scalable, and future-ready technology ecosystem that enables innovation at pace. This is a rare opportunity to leave a lasting legacy: architecting a modern technology landscape, embedding AI at scale, and leading change across an acquisitive, ambitious business. Please note : To complete your application, you will be redirected to Wilmington Plc s career site. At Wilmington Plc, we celebrate individuality and are committed to fostering an inclusive workplace. As a Disability Confident employer, we shortlist all applicants who meet the essential role criteria and guarantee an interview for candidates with disabilities who meet these criteria. For reasonable adjustments or to apply under our interview guarantee scheme, please use the contact details provided once you have clicked apply ! Job Purpose, Tasks and Responsibilities Reporting directly to the CEO, the CTO is accountable for defining and delivering Wilmington s technology vision, ensuring it underpins our strategic ambitions and accelerates transformation across the group. You will operate as a trusted executive leader, shaping corporate strategy, guiding investment decisions, and ensuring technology enables innovation, scalability, and sustainable growth. This role blends strategic leadership with hands-on influence, setting direction while ensuring delivery excellence. You will be responsible for: Leading the delivery of a modern, composable architecture across proprietary platforms, cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines, and core business systems such as Salesforce Ensuring technology scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive measurable business outcomes Defining and executing an ambitious AI strategy, unlocking value from LLMs and emerging technologies while ensuring governance, ethics, and IP protection Designing and overseeing an internal AI operations platform that integrates enterprise systems, automation workflows, and data assets Establishing robust AI governance frameworks aligned with regulatory expectations and industry best practice Driving AI-assisted development approaches to significantly enhance productivity, quality, and speed-to-market Managing strategic technology partnerships and vendors to maximise value, innovation, and performance Setting enterprise-wide technical standards to ensure consistency, resilience, and long-term sustainability Improving operational efficiency, availability, and performance across infrastructure and services Supporting strategic planning, financial oversight, and investment business cases at executive level Leading technology input into product and platform roadmaps aligned to business-unit priorities Acting as a visible, credible technology leader both internally and externally, representing Wilmington s vision and capability What s the Best Thing About This Role You will define and deliver the technology vision for a business in the midst of meaningful, purposeful transformation. With strong board-level sponsorship and a broad mandate for change, this role offers genuine freedom to innovate. You will shape how Wilmington competes in an increasingly AI-driven and regulated world building platforms, products, and capabilities that truly differentiate us and create long-term value. What s the Most Challenging Thing About This Role The challenge lies in balancing ambition with pragmatism. You will need to unlock innovation and transformation while maximising the value of existing platforms, teams, and investments. At the same time, you will be navigating rapid technological change (particularly in AI) while maintaining stability, governance, and trust across a complex and regulated environment. What We re Looking For To be successful in this role, you must have / be: Deep expertise in cloud architecture (AWS, Azure, or GCP), including large-scale, resilient system design and frameworks such as Well-Architected, with the ability to clearly communicate complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating market and technology trends into compelling roadmaps Experience with CRM platforms (Salesforce and/or Dynamics 365), e-learning platforms, and data-led or information services environments Demonstrable success leading M&A technology integration, from due diligence through to post-acquisition execution Strong research orientation with a passion for identifying, assessing, and embedding emerging technologies Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine-tuning considerations, and risk mitigation) Experience leveraging AI-assisted development tools (e.g. GitHub Copilot, Claude Code) to materially improve engineering productivity and delivery outcomes We know it s not a skill, but the successful candidate must have permission to work in the role s location by the start of their employment. About Us Wilmington plc is a dynamic and expanding group of companies with a shared purpose turning knowledge into advantage. We provide trusted information, training, and insight to professional markets across Risk & Compliance, Finance, Legal, and Insight sectors. Our businesses empower organisations and professionals to perform better by providing high-quality, relevant, and reliable knowledge. We collaborate across the group, share success, and focus relentlessly on delivering value to our customers. Join us and do Work That Means Something At Wilmington plc, we help global customers do the right business in the right way providing the data, insights, and education they need to navigate an increasingly complex GRC landscape. When you join us, you won t just shape a company s technology future you ll make a meaningful impact for our customers. We offer flexible hybrid working, strong development opportunities, and an environment where leadership, innovation, and purpose go hand in hand. Whether you re seeking your next defining role or ready to lead change at scale, this is work with meaning. Join us and make a real difference. Click on APPLY today!
Jun 20, 2026
Full time
Chief Technology Officer Location : Hybrid/Office based in London EC4R Salary : £170,000+ and 20% performance-related bonus + Excellent Benefits! Contract Type : Full Time, Permanent What We Can Offer You : 30 Days Annual Leave, 20% share package, Additional Holiday Purchase, Hybrid Working, Life Assurance, Vitality Private Healthcare, Subsidised Gym Memberships, Cycle to Work Scheme, Discount Vouchers and Access to Wellbeing Resources Why Do We Want You We are seeking a bold, visionary, and hands-on Chief Technology Officer to lead Wilmington Plc s technology strategy at a defining moment in our journey. Wilmington is undergoing a significant evolution, repositioning itself as a RegTech Business Services platform. Technology is no longer a support function, it is the engine that will drive our growth, differentiation, and long-term success. This role exists because we are serious about transformation. As CTO, you will play a central role in shaping how Wilmington looks, operates, and competes in the future. You will unite platforms, people, data, and products into a coherent, scalable, and future-ready technology ecosystem that enables innovation at pace. This is a rare opportunity to leave a lasting legacy: architecting a modern technology landscape, embedding AI at scale, and leading change across an acquisitive, ambitious business. Please note : To complete your application, you will be redirected to Wilmington Plc s career site. At Wilmington Plc, we celebrate individuality and are committed to fostering an inclusive workplace. As a Disability Confident employer, we shortlist all applicants who meet the essential role criteria and guarantee an interview for candidates with disabilities who meet these criteria. For reasonable adjustments or to apply under our interview guarantee scheme, please use the contact details provided once you have clicked apply ! Job Purpose, Tasks and Responsibilities Reporting directly to the CEO, the CTO is accountable for defining and delivering Wilmington s technology vision, ensuring it underpins our strategic ambitions and accelerates transformation across the group. You will operate as a trusted executive leader, shaping corporate strategy, guiding investment decisions, and ensuring technology enables innovation, scalability, and sustainable growth. This role blends strategic leadership with hands-on influence, setting direction while ensuring delivery excellence. You will be responsible for: Leading the delivery of a modern, composable architecture across proprietary platforms, cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines, and core business systems such as Salesforce Ensuring technology scalability and integration capability to support ongoing acquisitions and rapid business growth Building, inspiring, and leading a high-performing, future-focused technology function spanning Engineering, Architecture, Data, and Systems Embedding a culture of technical excellence, learning, accountability, and continuous improvement Championing Agile and product-led delivery models that drive measurable business outcomes Defining and executing an ambitious AI strategy, unlocking value from LLMs and emerging technologies while ensuring governance, ethics, and IP protection Designing and overseeing an internal AI operations platform that integrates enterprise systems, automation workflows, and data assets Establishing robust AI governance frameworks aligned with regulatory expectations and industry best practice Driving AI-assisted development approaches to significantly enhance productivity, quality, and speed-to-market Managing strategic technology partnerships and vendors to maximise value, innovation, and performance Setting enterprise-wide technical standards to ensure consistency, resilience, and long-term sustainability Improving operational efficiency, availability, and performance across infrastructure and services Supporting strategic planning, financial oversight, and investment business cases at executive level Leading technology input into product and platform roadmaps aligned to business-unit priorities Acting as a visible, credible technology leader both internally and externally, representing Wilmington s vision and capability What s the Best Thing About This Role You will define and deliver the technology vision for a business in the midst of meaningful, purposeful transformation. With strong board-level sponsorship and a broad mandate for change, this role offers genuine freedom to innovate. You will shape how Wilmington competes in an increasingly AI-driven and regulated world building platforms, products, and capabilities that truly differentiate us and create long-term value. What s the Most Challenging Thing About This Role The challenge lies in balancing ambition with pragmatism. You will need to unlock innovation and transformation while maximising the value of existing platforms, teams, and investments. At the same time, you will be navigating rapid technological change (particularly in AI) while maintaining stability, governance, and trust across a complex and regulated environment. What We re Looking For To be successful in this role, you must have / be: Deep expertise in cloud architecture (AWS, Azure, or GCP), including large-scale, resilient system design and frameworks such as Well-Architected, with the ability to clearly communicate complex concepts to non-technical stakeholders Strong experience in Enterprise Architecture, solution design, and delivering complex technology transformations at scale Proven capability in modern engineering practices, including containerisation, CI/CD pipelines, Agile delivery, and code quality tooling Strong understanding of data platforms, visualisation, and product management principles, translating market and technology trends into compelling roadmaps Experience with CRM platforms (Salesforce and/or Dynamics 365), e-learning platforms, and data-led or information services environments Demonstrable success leading M&A technology integration, from due diligence through to post-acquisition execution Strong research orientation with a passion for identifying, assessing, and embedding emerging technologies Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures, with experience integrating AI securely and at scale Practical experience in enterprise AI governance, prompt engineering, and deployment approaches (including RAG, fine-tuning considerations, and risk mitigation) Experience leveraging AI-assisted development tools (e.g. GitHub Copilot, Claude Code) to materially improve engineering productivity and delivery outcomes We know it s not a skill, but the successful candidate must have permission to work in the role s location by the start of their employment. About Us Wilmington plc is a dynamic and expanding group of companies with a shared purpose turning knowledge into advantage. We provide trusted information, training, and insight to professional markets across Risk & Compliance, Finance, Legal, and Insight sectors. Our businesses empower organisations and professionals to perform better by providing high-quality, relevant, and reliable knowledge. We collaborate across the group, share success, and focus relentlessly on delivering value to our customers. Join us and do Work That Means Something At Wilmington plc, we help global customers do the right business in the right way providing the data, insights, and education they need to navigate an increasingly complex GRC landscape. When you join us, you won t just shape a company s technology future you ll make a meaningful impact for our customers. We offer flexible hybrid working, strong development opportunities, and an environment where leadership, innovation, and purpose go hand in hand. Whether you re seeking your next defining role or ready to lead change at scale, this is work with meaning. Join us and make a real difference. Click on APPLY today!
Technical Lead AI Inside IR35 3-days per week in Sheffield, 2-days remote We are seeking an experienced Technical Lead AI to join a leading financial services client, helping drive the evolution of modern software engineering through applied AI and intelligent automation. This role sits within a fraud protection environment, focused on building AI agents to detect financial crime events and improve software delivery efficiency across engineering teams. The successful candidate will combine strong full-stack engineering expertise with hands-on experience deploying and integrating large language models and agentic AI workflows into production environments. Key responsibilities: Designing and building AI agents for fraud detection and production engineering services Embedding AI capabilities across the software development lifecycle, from code creation through to delivery Improving engineering efficiency through AI-driven code validation, reviews, and automation Acting as a technical lead, mentoring and upskilling engineering teams while remaining hands-on Building scalable, production-grade software and AI-enabled platforms Requirements: Strong full-stack engineering background with Java, Spring Boot, and React Hands-on experience with LLMs and AI tooling such as Co-Pilot, Claude, OpenCode, or Mistral Experience building agentic AI workflows in enterprise environments Kubernetes and event-driven architecture experience, including Kafka and Google Pub/Sub Public cloud agnostic engineering experience Strong stakeholder engagement and technical leadership capability Additional information available on successful application.
Jun 20, 2026
Contractor
Technical Lead AI Inside IR35 3-days per week in Sheffield, 2-days remote We are seeking an experienced Technical Lead AI to join a leading financial services client, helping drive the evolution of modern software engineering through applied AI and intelligent automation. This role sits within a fraud protection environment, focused on building AI agents to detect financial crime events and improve software delivery efficiency across engineering teams. The successful candidate will combine strong full-stack engineering expertise with hands-on experience deploying and integrating large language models and agentic AI workflows into production environments. Key responsibilities: Designing and building AI agents for fraud detection and production engineering services Embedding AI capabilities across the software development lifecycle, from code creation through to delivery Improving engineering efficiency through AI-driven code validation, reviews, and automation Acting as a technical lead, mentoring and upskilling engineering teams while remaining hands-on Building scalable, production-grade software and AI-enabled platforms Requirements: Strong full-stack engineering background with Java, Spring Boot, and React Hands-on experience with LLMs and AI tooling such as Co-Pilot, Claude, OpenCode, or Mistral Experience building agentic AI workflows in enterprise environments Kubernetes and event-driven architecture experience, including Kafka and Google Pub/Sub Public cloud agnostic engineering experience Strong stakeholder engagement and technical leadership capability Additional information available on successful application.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Job Title: AEP, AEM Sites & Assets Enterprise Field Engineer Duration: 13 months Location: London 2-3 wfo (mostly across the UK, some travelling within Europe may be required). Pay Rate: £406 per day all inc. (Inside IR35) Job Description What the Role Involves Ultimate Success is Adobe's premium customer success subscription, designed to help enterprise customers accelerate value realization from their Adobe CX Enterprise investment. It provides access to a named Customer Success Manager (CSM) and Technical Account Manager (TAM), together with a pooled team of Field Engineers who deliver technical and strategic advisory engagements on demand. The CSM owns the customer relationship and drives the overall success plan; Field Engineers are requested by the CSMs or TAMs to deliver specific Accelerators that address technical readiness, adoption, or strategic priorities identified within that plan. The successful candidate will deliver Success Accelerators to Adobe Ultimate Success customers, operating within Adobe's Field Engineering team. Accelerators are structured advisory engagements scoped to address a defined business or technical challenge. They are capped at 40 hours of effort and are designed to deliver a clear, documented outcome within a short timeframe, typically four to six weeks from kick-off to final output. Delivery follows Adobe's established accelerator methodology and is tracked and quality-assured through Adobe's internal systems. Typical Accelerator categories include: Technical Readiness: Solution Optimization Reviews, Go-Live Readiness, Implementation Readiness, Upgrade and Migration Readiness, Solution Troubleshooting Adoption and Enablement: Use Case Mapping to Solution Capability, Tool Workflow and Governance Optimization, Value Measurement Frameworks Strategic Readiness: AI and Agentic Readiness, Content Supply Chain Readiness, Digital Strategy and Roadmaps Each engagement requires the resource to conduct a structured discovery with the customer; produce a written output following defined delivery methodologies, templates, or delivery toolsets (assessment, roadmap, or recommendation document) to Adobe's quality standard; present findings to customer stakeholders; capture and document an Impact Summary, and hand off clearly to the assigned customer success team. Solution Specialisation: Two specialisation tracks are required. Requests will specify which track is needed at point of engagement. Track 1 - Adobe Experience Platform (AEP) and Data Solutions This track is representing approximately two thirds of the backfill requirement. Relevant solutions: Adobe Experience Platform, Real Time Customer Data Platform (RTCDP), Adobe Journey Optimizer (AJO B2C and B2B), Customer Journey Analytics (CJA). The resource must demonstrate hands-on delivery experience across at least two of the primary solutions, with AEP as the core specialism. Experience of AEP-native integrations (data ingestion, identity resolution, segmentation, activation) and an understanding of data governance requirements in enterprise environments are essential. Track 2 - Adobe Experience Manager (AEM) and Content Solutions This track represents approximately one third of the backfill requirement. Relevant solutions (primary): AEM Sites, AEM Assets, Workfront, Content Supply Chain (CSC), Edge Delivery Services (EDS). Lower priority for this backfill requirement: AEM Forms, AEM Guides, AEM Screens. The resource must demonstrate hands-on delivery experience with AEM in an enterprise context, including cloud-native deployment. Experience of CSC architecture and EDS is particularly sought for current pipeline requirements. Minimum Qualifications Past experience delivering technical advisory or consulting engagements for large enterprise customers, in a customer-facing capacity, across one or more Adobe CX Enterprise solutions. Demonstrable ability to conduct structured assessments, produce clear written deliverables, and present findings to mixed technical and business audiences up to leadership level. Strong communication skills in English; able to tailor tone and depth to audience from practitioner to leadership level. Willingness to operate within Adobe's internal systems, quality frameworks, and customer engagement protocols for the duration of the assignment. Located in EMEA, with the ability to travel for customer-site engagements as required (~20% travel). Ability to self-manage a varied workload across multiple concurrent engagements, adapting quickly when customer priorities, scope, or timelines shift mid-delivery. Skills that Strengthen a Candidacy Current Adobe Certified Expert (ACE) certification in one or more relevant solutions (AEP, RTCDP, AJO, CJA, AEM Sites or Assets). Experience delivering engagements within a subscription or retainer-based services model, where quality and velocity both matter. Familiarity with Adobe's Ultimate Success Accelerator framework or equivalent short-form advisory methodology. Prior exposure to Adobe's internal tooling is an advantage but not required. Understanding of EMEA enterprise customer environments and data privacy requirements (GDPR and relevant industry-specific regulations). Language: English required; additional European languages (Spanish, German, French, Dutch, Italian) are advantageous and may be specified per request If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Jun 19, 2026
Contractor
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Job Title: AEP, AEM Sites & Assets Enterprise Field Engineer Duration: 13 months Location: London 2-3 wfo (mostly across the UK, some travelling within Europe may be required). Pay Rate: £406 per day all inc. (Inside IR35) Job Description What the Role Involves Ultimate Success is Adobe's premium customer success subscription, designed to help enterprise customers accelerate value realization from their Adobe CX Enterprise investment. It provides access to a named Customer Success Manager (CSM) and Technical Account Manager (TAM), together with a pooled team of Field Engineers who deliver technical and strategic advisory engagements on demand. The CSM owns the customer relationship and drives the overall success plan; Field Engineers are requested by the CSMs or TAMs to deliver specific Accelerators that address technical readiness, adoption, or strategic priorities identified within that plan. The successful candidate will deliver Success Accelerators to Adobe Ultimate Success customers, operating within Adobe's Field Engineering team. Accelerators are structured advisory engagements scoped to address a defined business or technical challenge. They are capped at 40 hours of effort and are designed to deliver a clear, documented outcome within a short timeframe, typically four to six weeks from kick-off to final output. Delivery follows Adobe's established accelerator methodology and is tracked and quality-assured through Adobe's internal systems. Typical Accelerator categories include: Technical Readiness: Solution Optimization Reviews, Go-Live Readiness, Implementation Readiness, Upgrade and Migration Readiness, Solution Troubleshooting Adoption and Enablement: Use Case Mapping to Solution Capability, Tool Workflow and Governance Optimization, Value Measurement Frameworks Strategic Readiness: AI and Agentic Readiness, Content Supply Chain Readiness, Digital Strategy and Roadmaps Each engagement requires the resource to conduct a structured discovery with the customer; produce a written output following defined delivery methodologies, templates, or delivery toolsets (assessment, roadmap, or recommendation document) to Adobe's quality standard; present findings to customer stakeholders; capture and document an Impact Summary, and hand off clearly to the assigned customer success team. Solution Specialisation: Two specialisation tracks are required. Requests will specify which track is needed at point of engagement. Track 1 - Adobe Experience Platform (AEP) and Data Solutions This track is representing approximately two thirds of the backfill requirement. Relevant solutions: Adobe Experience Platform, Real Time Customer Data Platform (RTCDP), Adobe Journey Optimizer (AJO B2C and B2B), Customer Journey Analytics (CJA). The resource must demonstrate hands-on delivery experience across at least two of the primary solutions, with AEP as the core specialism. Experience of AEP-native integrations (data ingestion, identity resolution, segmentation, activation) and an understanding of data governance requirements in enterprise environments are essential. Track 2 - Adobe Experience Manager (AEM) and Content Solutions This track represents approximately one third of the backfill requirement. Relevant solutions (primary): AEM Sites, AEM Assets, Workfront, Content Supply Chain (CSC), Edge Delivery Services (EDS). Lower priority for this backfill requirement: AEM Forms, AEM Guides, AEM Screens. The resource must demonstrate hands-on delivery experience with AEM in an enterprise context, including cloud-native deployment. Experience of CSC architecture and EDS is particularly sought for current pipeline requirements. Minimum Qualifications Past experience delivering technical advisory or consulting engagements for large enterprise customers, in a customer-facing capacity, across one or more Adobe CX Enterprise solutions. Demonstrable ability to conduct structured assessments, produce clear written deliverables, and present findings to mixed technical and business audiences up to leadership level. Strong communication skills in English; able to tailor tone and depth to audience from practitioner to leadership level. Willingness to operate within Adobe's internal systems, quality frameworks, and customer engagement protocols for the duration of the assignment. Located in EMEA, with the ability to travel for customer-site engagements as required (~20% travel). Ability to self-manage a varied workload across multiple concurrent engagements, adapting quickly when customer priorities, scope, or timelines shift mid-delivery. Skills that Strengthen a Candidacy Current Adobe Certified Expert (ACE) certification in one or more relevant solutions (AEP, RTCDP, AJO, CJA, AEM Sites or Assets). Experience delivering engagements within a subscription or retainer-based services model, where quality and velocity both matter. Familiarity with Adobe's Ultimate Success Accelerator framework or equivalent short-form advisory methodology. Prior exposure to Adobe's internal tooling is an advantage but not required. Understanding of EMEA enterprise customer environments and data privacy requirements (GDPR and relevant industry-specific regulations). Language: English required; additional European languages (Spanish, German, French, Dutch, Italian) are advantageous and may be specified per request If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Senior Delivery Lead (Cognitive Automation Ecosystem) 6-Month contract - Inside IR35 - market rate Heathrow based - hybrid working - up to 3 days a week onsite About the Role The Cognitive Automation Ecosystem team turns agentic automation and AI from isolated initiatives into a safe, scalable, enterprise capability. It provides the platform, guardrails, and shared services that agentic delivery and run teams rely upon to scale safely and effectively across the business. This is a hands-on delivery role for someone who genuinely enjoys bringing order to complexity. You'll lead delivery across multiple technology programmes, where competing priorities, shared resources, and fast-moving timelines are the norm, not the exception. You'll work through influence rather than authority, earning trust quickly, pushing back when needed, and keeping the squad moving without creating bureaucratic drag. There is no dedicated product lead, so you'll work closely with the Technical Lead to shape priorities and turn requirements into clear, sequenced delivery outcomes. What You'll Own Team Leadership & Delivery Lead a small team of contract engineers, setting clear direction and keeping delivery on track Create a high-performing, psychologically safe, delivery-focused culture with clarity of ownership and high standards Communicate credibly with senior stakeholders and step in quickly when things wobble Governance, Planning & Reporting Own integrated plans, milestones, dependencies, delivery cadence, and estimation across concurrent workstreams, using delivery data to maintain realistic forecasts Run governance that protects the organisation without creating drag, keeping teams aligned to guardrails and standards Keep RAID, decisions, and reporting up-to-date; anticipate potential issues early Roadmap, Backlog & Documentation Own a clear, prioritised roadmap and delivery-ready backlog, balancing strategic value, capacity, and stakeholder demand Ensure delivery artefacts, decisions, and requirements are maintained at source, current, and audit-ready with minimal manual effort Push back on vague, low-value, or poorly defined work; if it is not clear, it is not ready Ensure teams generate accurate, timely delivery data as part of day-to-day working, with strong Jira discipline and minimal reliance on manual reporting Cross-Functional Coordination & Accountability Operate as the connective tissue across Product, Tech, Engineering, Architecture, and business stakeholders, keeping dependencies and sequencing visible Influence peers and senior stakeholders through credibility, judgement, and consistency rather than formal authority Hold teams to commitments with clarity and follow-through, driving a culture of accountability, delivery discipline, and early escalation Ecosystem Build & Reuse Help shape the agent ecosystem around reusable enterprise capabilities, shared services, and orchestration patterns Spot duplication early and work with technical leads so teams do not build the same thing twice What We're Looking For Experience 10+ years leading technology delivery in complex, high-accountability environments with multiple senior stakeholders Strong track record of delivering applied AI, automation, data, or API-led products from ambiguity to measurable business value Experience turning business priorities into clear roadmaps and sequenced delivery plans. Strong delivery leadership across concurrent initiatives with shared resources, tight dependencies, and competing deadlines Experience raising delivery standards in environments that needed more structure, pace, and accountability Understanding of modern cloud and enterprise technology environments, with enough technical fluency to challenge, prioritise, and make sound trade-offs Skills & Attributes Excellent at bringing structure to ambiguity and turning complexity into clear, executable plans Confident making tough calls, challenging constructively, and holding teams and stakeholders to commitments Strong judgement on priority, pace, and trade-offs; knows when to push, when to simplify, and when to escalate Influences through credibility, clarity, and consistency rather than relying on hierarchy Communicates effectively across engineering, product, and executive audiences Experience in complex operational environments where reliability, coordination, and governance matter Preferred Experience in platform-led or enterprise capability teams rather than single-product delivery Exposure to agent frameworks, orchestration patterns, or AI operating models in enterprise settings Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jun 19, 2026
Contractor
Senior Delivery Lead (Cognitive Automation Ecosystem) 6-Month contract - Inside IR35 - market rate Heathrow based - hybrid working - up to 3 days a week onsite About the Role The Cognitive Automation Ecosystem team turns agentic automation and AI from isolated initiatives into a safe, scalable, enterprise capability. It provides the platform, guardrails, and shared services that agentic delivery and run teams rely upon to scale safely and effectively across the business. This is a hands-on delivery role for someone who genuinely enjoys bringing order to complexity. You'll lead delivery across multiple technology programmes, where competing priorities, shared resources, and fast-moving timelines are the norm, not the exception. You'll work through influence rather than authority, earning trust quickly, pushing back when needed, and keeping the squad moving without creating bureaucratic drag. There is no dedicated product lead, so you'll work closely with the Technical Lead to shape priorities and turn requirements into clear, sequenced delivery outcomes. What You'll Own Team Leadership & Delivery Lead a small team of contract engineers, setting clear direction and keeping delivery on track Create a high-performing, psychologically safe, delivery-focused culture with clarity of ownership and high standards Communicate credibly with senior stakeholders and step in quickly when things wobble Governance, Planning & Reporting Own integrated plans, milestones, dependencies, delivery cadence, and estimation across concurrent workstreams, using delivery data to maintain realistic forecasts Run governance that protects the organisation without creating drag, keeping teams aligned to guardrails and standards Keep RAID, decisions, and reporting up-to-date; anticipate potential issues early Roadmap, Backlog & Documentation Own a clear, prioritised roadmap and delivery-ready backlog, balancing strategic value, capacity, and stakeholder demand Ensure delivery artefacts, decisions, and requirements are maintained at source, current, and audit-ready with minimal manual effort Push back on vague, low-value, or poorly defined work; if it is not clear, it is not ready Ensure teams generate accurate, timely delivery data as part of day-to-day working, with strong Jira discipline and minimal reliance on manual reporting Cross-Functional Coordination & Accountability Operate as the connective tissue across Product, Tech, Engineering, Architecture, and business stakeholders, keeping dependencies and sequencing visible Influence peers and senior stakeholders through credibility, judgement, and consistency rather than formal authority Hold teams to commitments with clarity and follow-through, driving a culture of accountability, delivery discipline, and early escalation Ecosystem Build & Reuse Help shape the agent ecosystem around reusable enterprise capabilities, shared services, and orchestration patterns Spot duplication early and work with technical leads so teams do not build the same thing twice What We're Looking For Experience 10+ years leading technology delivery in complex, high-accountability environments with multiple senior stakeholders Strong track record of delivering applied AI, automation, data, or API-led products from ambiguity to measurable business value Experience turning business priorities into clear roadmaps and sequenced delivery plans. Strong delivery leadership across concurrent initiatives with shared resources, tight dependencies, and competing deadlines Experience raising delivery standards in environments that needed more structure, pace, and accountability Understanding of modern cloud and enterprise technology environments, with enough technical fluency to challenge, prioritise, and make sound trade-offs Skills & Attributes Excellent at bringing structure to ambiguity and turning complexity into clear, executable plans Confident making tough calls, challenging constructively, and holding teams and stakeholders to commitments Strong judgement on priority, pace, and trade-offs; knows when to push, when to simplify, and when to escalate Influences through credibility, clarity, and consistency rather than relying on hierarchy Communicates effectively across engineering, product, and executive audiences Experience in complex operational environments where reliability, coordination, and governance matter Preferred Experience in platform-led or enterprise capability teams rather than single-product delivery Exposure to agent frameworks, orchestration patterns, or AI operating models in enterprise settings Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Senior Java Developer with a focus on Agentic Coding IntaPeople are working exclusively with a fintech scaleup in Cardiff and require a Senior Java Engineer with experience of agentic cofing join a new team. This is a hybrid role with 3 days per week in the Cardiff office. About the role: This role is within a new, leaner team and will be leveraging AI to build new features from scratch. This role will be utilising Claude.ai for AI model development. We are open to mid-levels (who are close to the senior mark)and established senior Java Developers to join a high performing team. They have agentic workflows set so you will need to hit the road running with agentic coding A financial service background is preferred. This company offers a structured roadmap in terms of progression. Having worked with this company for the last 7 years, I have seen more internal progression than in any other employer. About you: Commercial experience of agentic coding is essential for this role. You know how to train AI agents to deliver complex code that works. You will have worked commercially with Java (versions 8+) building APIs and microservices with Spring Boot for 5 years minimum. Any cloud experience is a nice to have. They have an AWS cloud infrastructure but any interaction with AWS, GCP or Azure would be an advantage. You re a hungry dev who wants to keep developing their skills, learning new things and collaborating with the wider team. For a confidential chat about the role, send a copy of your CV to (url removed) and we will set up a call
Jun 19, 2026
Full time
Senior Java Developer with a focus on Agentic Coding IntaPeople are working exclusively with a fintech scaleup in Cardiff and require a Senior Java Engineer with experience of agentic cofing join a new team. This is a hybrid role with 3 days per week in the Cardiff office. About the role: This role is within a new, leaner team and will be leveraging AI to build new features from scratch. This role will be utilising Claude.ai for AI model development. We are open to mid-levels (who are close to the senior mark)and established senior Java Developers to join a high performing team. They have agentic workflows set so you will need to hit the road running with agentic coding A financial service background is preferred. This company offers a structured roadmap in terms of progression. Having worked with this company for the last 7 years, I have seen more internal progression than in any other employer. About you: Commercial experience of agentic coding is essential for this role. You know how to train AI agents to deliver complex code that works. You will have worked commercially with Java (versions 8+) building APIs and microservices with Spring Boot for 5 years minimum. Any cloud experience is a nice to have. They have an AWS cloud infrastructure but any interaction with AWS, GCP or Azure would be an advantage. You re a hungry dev who wants to keep developing their skills, learning new things and collaborating with the wider team. For a confidential chat about the role, send a copy of your CV to (url removed) and we will set up a call
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jun 19, 2026
Full time
Senior Software Engineer, AI Location: London (Hybrid: 2 days in office, 3 days remote) Position Type: Permanent Are you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI? We are a leading global provider of financial information services, insights, data, and analytics. We are currently seeking a Senior Software Engineer, AI to join our team in London. In this role, you will drive high-impact AI initiatives, design production-ready generative AI platforms, and build scalable, enterprise-grade solutions that shape the future of global markets. What We Offer Transformative AI Impact: Design and deploy production-ready GenAI platforms, multi-agent systems, and intelligent automation that reshape products in real-time. Cutting-Edge Tech Stack: Experiment with the latest LLMs, architect RAG implementations, design sophisticated agentic systems, and develop Model Context Protocol (MCP) servers. Enterprise Scale: Build GenAI solutions across multiple business units while creating unified patterns and reusable component frameworks. Dynamic Culture: Work at the intersection of advanced engineering and product development within a collaborative, innovation-driven environment. We'll Count on You To Lead GenAI Development: Spearhead the creation of enterprise chatbot platforms, evaluation frameworks, agentic workflows, RAG architectures, and MCP implementations. Pioneer Innovation: Act as a hands-on engineer bridging the gap between research breakthroughs and production-ready capabilities to generate tangible business value. Build Robust Infrastructure: Develop enterprise-scale APIs (FastAPI) and architect comprehensive cloud-based AI infrastructure on AWS/Azure optimized for scalability and performance. Demonstrate Full-Stack Excellence: Apply your expertise across the entire technology stack to seamlessly integrate AI capabilities into user-facing products and backend systems. What You Need to Have Experience: 7+ years of professional experience designing, developing, and deploying production-grade applications, with 5+ years specifically in full-stack enterprise software engineering. Core Skills: Advanced Python programming with strong backend development capabilities. AI Expertise: Proven experience developing and deploying intelligent conversational AI systems using RAG architectures, Model Context Protocol (MCP), AI-enabled search, vector databases, and LLM integration. Frameworks: Hands-on experience building GenAI applications using LangChain and LangGraph (agent architecture design, state management, and graph-based workflow orchestration). ML & Cloud Ecosystems: Solid understanding of ML algorithms, FastAPI, PyTorch/TensorFlow, MLflow, MLOps practices, containerization (Docker, Kubernetes/AWS EKS), and cloud services (AWS Bedrock, SageMaker, Azure AI Search). Soft Skills: Excellent communication and collaboration skills, with the ability to translate complex technical concepts for diverse, cross-functional stakeholders. Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language Models to deliver actionable insights that enable brands to optimize their visibility and competitive positioning in the market. The platform runs a production multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices Manage secrets and audit logging Enforce multi-tenant isolation across agents, prompts, and data Defend against prompt injection, jailbreaks, and PII leakage 5. Technical Leadership Set technical direction for the AI platform and drive architecture decisions Make build-vs-buy calls on frameworks, providers, and tooling Mentor engineers and raise the bar on prompts, evals, and agent design Collaborate with product to translate business goals into AI system architecture What Makes This Role Unique You will work on a production multi-agent platform with real scale and real users - multi-specialist agent systems, LLM pipelines, and a multi-provider stack running on AWS. The interesting problems are not bootstrapping; they are deciding what good looks like and building the systems that get you there.
Jun 18, 2026
Full time
About Our Client Our client is an innovative AI-powered brand analytics platform that helps businesses understand their brand perception, competitive landscape, and market positioning through advanced AI-driven analysis. They leverage multiple Large Language Models to deliver actionable insights that enable brands to optimize their visibility and competitive positioning in the market. The platform runs a production multi-agent system on AWS, orchestrating multiple AI providers across signal generation, content, and research workflows, and is exposed to clients through their own MCP server. What We're Looking For We are seeking an AI Engineer to help shape the technical direction of the AI platform. You will design and evolve the agentic systems that power this solution - multi-agent orchestration, LLM pipelines, evals, and the cloud infrastructure that runs them. You should be hands-on, opinionated about how AI systems should be built, and excited to set the bar for an engineering team that ships AI features fast and safely. We value engineers who actively use AI agents and automation tools in their own workflows and stay current with the field as it moves. Key Responsibilities 1. Agentic AI Systems Design, build, and evolve multi-agent systems and LLM-powered pipelines. You will: Design agent topologies - planner/executor, supervisor/worker, reflection loops, human-in-the-loop Build and extend agents using frameworks like LangGraph, Strands, and Agent SDKs Evolve the agent harness - execution loop, tool dispatch, context management, sub-agent spawning, and sandboxing Design agent memory, context management, and tool-calling patterns Extend the MCP server with new tools and capabilities Enforce structured outputs and validation across LLM boundaries 2. LLM Quality, Evals & Observability Build the layer that lets the team ship LLM features with confidence. You will: Design and grow the eval platform - golden datasets, regression suites, LLM-as-judge Integrate observability and tracing across providers and prompt versions Track cost, latency, and quality per prompt, model, and client Build guardrails for prompt injection, PII, and output safety Drive prompt engineering practice - versioning, A/B testing, platform overlays 3. Cloud & Data Infrastructure Own the cloud substrate that runs the AI workloads. You will: Architect and maintain AWS infrastructure (ECS Fargate, Lambda, Step Functions, EventBridge, S3, Athena, DynamoDB, Bedrock) Build and operate data pipelines that move LLM outputs from generation to analytics Manage containerized deployments, CI/CD, and infrastructure as code Ensure reliability, observability, and cost efficiency across the platform 4. Security, Compliance & AI Safety Implement IAM, encryption, and network security best practices Manage secrets and audit logging Enforce multi-tenant isolation across agents, prompts, and data Defend against prompt injection, jailbreaks, and PII leakage 5. Technical Leadership Set technical direction for the AI platform and drive architecture decisions Make build-vs-buy calls on frameworks, providers, and tooling Mentor engineers and raise the bar on prompts, evals, and agent design Collaborate with product to translate business goals into AI system architecture What Makes This Role Unique You will work on a production multi-agent platform with real scale and real users - multi-specialist agent systems, LLM pipelines, and a multi-provider stack running on AWS. The interesting problems are not bootstrapping; they are deciding what good looks like and building the systems that get you there.
Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills
Jun 18, 2026
Full time
Location: Glasgow Head Office Full time, permanent role (37.5 hours per week) JOB PURPOSE: This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group. It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment. As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible. PRINCIPAL TASKS AND RESPONSIBILITIES Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed Optimize performance for latency, cost, accuracy, security and reliability Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards. Troubleshoot, debug, and resolve technical issues across the product. Ensure code reviews and automated tests to support quality assurance Participate in all meeting arounds Refinement, Planning and Delivery. As a Lead: Lead the architecture and end-to-end development of AI solutions, from prototyping to production Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value. Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies. Define technical standards, best practices, and engineering roadmaps for AI initiatives Provide technical leadership and mentor developers Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey Own quality, reliability, and performance of AI systems including monitoring, testing, and observability Conduct security and architectural reviews, and foster a culture of engineering excellence Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: Ensure that continuous improvement is baked into everything we do. Support the development of a strong culture focused on transparency, collaboration, and high performance Make time to support other members of the team and answer questions Take responsibility of your personal objectives and those of the team. Take ownership of deadlines and releases for yourself and the team. Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs. Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives. Professional / Academic / Qualifications 5+ years experience in a development role (essential) Degree level qualification (desirable) Specific Knowledge AI Hands on experience with Gen AI and LLM's Experience with RAG, Prompt engineering, Evaluation techniques AI infrastructure (vector stores, embeddings, model serving) AI agent frameworks and orchestration Understanding of embeddings, vector search Claude Code or equivalent Secure AI solution design Responsible AI principles Demonstrable AI engineering skills Agentic Tooling (desirable) Knowledge of Facilities Management domain (desirable) Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering Typescript / Python / React / node js Microsoft .NET stack, SQL Server, NoSQL DB (eg Cosmos DB) REST API design and integration Design patterns and clean architecture GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours Proactive, self-driven, and able to work independently or as part of a team Focused on outcomes rather than outputs Excellent verbal and written communication skills Pragmatic and flexible attitude Excellent interpersonal skills Attention to detail Mentoring/coaching skills
AI Architect 6 Months Must have or be eligible for SC Clearance TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jun 18, 2026
Contractor
AI Architect 6 Months Must have or be eligible for SC Clearance TBC (Inside IR35) My client, a government body are looking for an AI Architect to join their fast-paced team on an initial 6 month contract. As an AI Architect, you will be part of a team of specialists who work with our industry-facing client partners to shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients and prospects and help to continuously shape our solutions. On the job details- Designing and implementing innovative AI solutions that meet client needs and drive business value. Collaborating with cross-functional teams to integrate AI technologies into existing systems and processes. Demonstrating modern AI solutions to clients, showcasing their benefits and applications. Conducting research and analysis to stay updated on the latest AI trends and technologies. Communicating complex AI concepts and solutions to stakeholders in a clear and engaging manner. Distilling information about proposed architectures into actionable insights for developers to implement those solutions effectively. Creating and managing agents, knowledge graphs and chatbots to enhance user experience and efficiency. Architecting and leading the implementation of AI harness engineering ecosystems and agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills and Experience required- Strong experience with Solution Architecture, with specific recent focus on AI and Generative AI solutions, demonstrating a strong understanding of current trends and technologies. Proven ability to architect and deploy innovative AI solutions under tight deadlines, effectively showcasing these solutions to client stakeholders and communicating their business impact. Experience in providing solutions using Agent Harness, Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots. Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock). Knowledge of agentic frameworks (Claude Agent SDK, AWS Bedrock AgentCore, MS Agent Framework, Langgraph Deep Agents,) and machine learning platforms for model training and deployment. Strong problem-solving skills, a proactive attitude, and an entrepreneurial mindset with a commitment to continuous learning. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Business Analyst within AI needed. We are seeking a forward-thinking Business Analyst. You will not just document legacy requirements. You will design the logical guardrails, metrics, and workflows for autonomous AI agents. You will act as the vital bridge between complex enterprise processes and our AI engineering teams. Key Responsibilities 1. Workflow Orchestration & Deconstruction Deconstruct workflows: Break down complex human processes into structured agent instructions. Map state transitions: Outline the iterative "Observe, Think, Act" loops for AI agents. Define guardrails: Establish data requirements, exceptions, and human-in-the-loop checkpoints. 2. Pipeline & Value Management Qualify use cases: Evaluate enterprise bottlenecks to qualify agentic automation opportunities. Manage pipelines: Prioritize the high-value agentic AI transformation roadmap. Design validation metrics: Create framework tracking metrics to monitor agent performance. 3. Cross-Functional Collaboration Translate requirements: Turn business user needs into precise prompts, system specs, and tool-calling logics. Facilitate workshops: Lead discovery sessions with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external API connectors. Business Analysis Expertise Agile Frameworks: Proven success working inside Agile or Scrum software development lifecycles. Process Mapping: Mastery of decomposition techniques, data rules, and hand-off mapping. Data Fluency: Ability to run analytical assessments and query data to validate agent integrity. Soft Skills Constructive Skepticism: Ability to challenge status-quo enterprise assumptions. Ambiguity Handling: Comfort with exploring fluid, evolving AI product definitions.
Jun 18, 2026
Full time
Business Analyst within AI needed. We are seeking a forward-thinking Business Analyst. You will not just document legacy requirements. You will design the logical guardrails, metrics, and workflows for autonomous AI agents. You will act as the vital bridge between complex enterprise processes and our AI engineering teams. Key Responsibilities 1. Workflow Orchestration & Deconstruction Deconstruct workflows: Break down complex human processes into structured agent instructions. Map state transitions: Outline the iterative "Observe, Think, Act" loops for AI agents. Define guardrails: Establish data requirements, exceptions, and human-in-the-loop checkpoints. 2. Pipeline & Value Management Qualify use cases: Evaluate enterprise bottlenecks to qualify agentic automation opportunities. Manage pipelines: Prioritize the high-value agentic AI transformation roadmap. Design validation metrics: Create framework tracking metrics to monitor agent performance. 3. Cross-Functional Collaboration Translate requirements: Turn business user needs into precise prompts, system specs, and tool-calling logics. Facilitate workshops: Lead discovery sessions with technical engineers and non-technical stakeholders. Required Skills & Experience Technical Knowledge Agentic Frameworks: Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI. LLM Foundations: Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns. Tool-Use Integration: Clear understanding of function calling, data pipelines, and external API connectors. Business Analysis Expertise Agile Frameworks: Proven success working inside Agile or Scrum software development lifecycles. Process Mapping: Mastery of decomposition techniques, data rules, and hand-off mapping. Data Fluency: Ability to run analytical assessments and query data to validate agent integrity. Soft Skills Constructive Skepticism: Ability to challenge status-quo enterprise assumptions. Ambiguity Handling: Comfort with exploring fluid, evolving AI product definitions.
Agentic Platform Lead 6 months London Negotiable rate per day (Inside IR35) Scope of work : The consumption layer that determines how agents query and use the graph. RESPONSIBILITIES Defines tool-calling schemas, RAG pipelines, and context strategies. Builds hallucination guardrails and agent evaluation harnesses. Integrates the graph with enterprise agentic platforms. KEY SKILLS LLM integration RAG architecture Tool / function calling Cypher Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
Jun 17, 2026
Contractor
Agentic Platform Lead 6 months London Negotiable rate per day (Inside IR35) Scope of work : The consumption layer that determines how agents query and use the graph. RESPONSIBILITIES Defines tool-calling schemas, RAG pipelines, and context strategies. Builds hallucination guardrails and agent evaluation harnesses. Integrates the graph with enterprise agentic platforms. KEY SKILLS LLM integration RAG architecture Tool / function calling Cypher Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
Jun 17, 2026
Full time
AI Agentic Engineer (MedTech) We re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical and operational decision-making. This is a highly impactful role where you ll be working at the intersection of AI, software engineering, and healthcare innovation - developing agent-based systems that can reason, plan, and act within real-world medical workflows. You ll be joining a forward-thinking engineering team that is scaling rapidly, with a strong focus on responsible AI, performance, and real-world application. What you ll be doing You ll design and develop AI agent systems that can interact with tools, APIs, and data sources to complete complex tasks autonomously. You ll work closely with product and engineering teams to translate clinical and operational requirements into scalable AI-driven solutions, while ensuring safety, reliability, and interpretability are built into everything you deliver. What we re looking for We re looking for engineers with strong experience in AI/ML or software engineering who are excited by agentic AI systems and real-world applications. Key skills and experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version control, scalable design) Bonus experience: Background in healthcare, life sciences, or regulated environments Experience with AI safety, evaluation, or model monitoring Familiarity with distributed systems or event-driven architectures Location & working style This role is based in Newcastle, with hybrid working available. Why join? This is a rare opportunity to work on cutting-edge AI systems in a mission-driven MedTech environment, where your work will have direct real-world impact. You ll be joining a highly technical team solving meaningful problems with modern AI approaches. Interested? Please Click Apply Now! AI Agentic Engineer (MedTech)
AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.
Oct 08, 2025
Contractor
AI Engineer - Transform Government Communications with Cutting-Edge AI. Are you passionate about leveraging AI to drive impactful change? We are seeking an AI Engineer with experience in Large Language API's (from 2021), Generative AI and Python, to play a pivotal role in shaping and enhancing AI products for Government. This role is fully remote and Inside IR35. 6 Month contract. Why Apply: 1. Innovative Impact: Be part of a team that has successfully launched Assist, an award-winning service that saves users an average of three hours per week. Assist is a business-critical tool for over 6500 Civil Servants across more than 300 public sector organisations. 2. Future-Focused: Engage with an exciting roadmap that includes developing synthetic AI-driven audiences and personalisation capabilities. Your work will directly contribute to the next generation of AI solutions within the public sector. 3. Collaborative Environment: Work alongside Developers, Data Scientists, User Researchers, and a Product Manager in an agile setting. Your contributions will be integral to the iterative development of a leading AI product. Key Responsibilities: - Maintain and iterate a web API using FastAPI, hosted on Amazon Web Services (AWS). - Develop improvements to Assist, focusing on data ingestion, UI updates, and agentic possibilities. - Design and deliver new capabilities, such as conversational AI-powered synthetic audiences. - Collaborate with a Product Manager and other Software Developers to organise and complete tasks. - Contribute to technical decision-making, including Generative AI solutions around Retrieval Augmented Generation (RAG) and prompt engineering. - Document and maintain Agile project responsibilities. - Develop features around sentiment analysis, data ingestion, and synthetic audience creation. Skills and Experience: - Proven experience in building Large Language Model-based applications incorporating tool usage and information retrieval. - Proficiency in Python programming. - Experience administering Amazon Web Services accounts. - Ability to take ownership of the entire feature development life cycle, from development and testing to deployment. - Experience in agile product delivery, working within a small interdisciplinary team. Be at the forefront of transforming government communications through AI. Your expertise will help shape a product that delivers real impact for the public, making a tangible difference in the efficiency and effectiveness of government services. For further information, contact Andrew Medhurst at Inspire People. Inspire People is acting as an employment business to the end user and candidates.
Morgan Hunt are working with a public sector client on two separate AI engineer roles. The first role is focused around Azure, and the second around Copilot. Key Criteria: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry, Microsoft Azure ML Studio or using Copilot . Understanding of data science concepts, AI / ML models, automation workflows, and agentic orchestration to enhance business processes. Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. £700 per day Inside IR35Contract until the end of March 2026 (extension possible) 1 day per week in the office SC Clearance Required SC Clearance can take 3 months to get Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Oct 08, 2025
Full time
Morgan Hunt are working with a public sector client on two separate AI engineer roles. The first role is focused around Azure, and the second around Copilot. Key Criteria: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry, Microsoft Azure ML Studio or using Copilot . Understanding of data science concepts, AI / ML models, automation workflows, and agentic orchestration to enhance business processes. Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability on Microsoft Azure AI Foundry. Experience applying Generative AI, NLP, and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. £700 per day Inside IR35Contract until the end of March 2026 (extension possible) 1 day per week in the office SC Clearance Required SC Clearance can take 3 months to get Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.
Are you experience in AI development and automation using Microsoft Copilot? If so I have an exciting opportunity. I am currently working with a client who is looking to bring onboard a MS Copilot AI Engineer on a contract basis until the end of March 2026, they are looking for someone who can start ASAP the pay for the role is up to around £700 p/d inside of IR35. The role is hybrid with 1 day on site at their London office. Must be SC Cleared I have added the required info below, if this is of interest please let me know. Must be SC Cleared Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Familiarity with Microsoft Power Platform concepts, including Power Automate, Power Apps, and Dataverse. (LEAD) Experience applying Generative AI and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation skills Extensive experience working collaboratively with diverse colleagues and stakeholders. Knowledge of the Microsoft ecosystem, particularly M365, Power Platform, and Azure. Experience integrating Copilot Studio with Azure AI Foundry solutions. Cyber Security Awareness
Oct 07, 2025
Contractor
Are you experience in AI development and automation using Microsoft Copilot? If so I have an exciting opportunity. I am currently working with a client who is looking to bring onboard a MS Copilot AI Engineer on a contract basis until the end of March 2026, they are looking for someone who can start ASAP the pay for the role is up to around £700 p/d inside of IR35. The role is hybrid with 1 day on site at their London office. Must be SC Cleared I have added the required info below, if this is of interest please let me know. Must be SC Cleared Proven hands-on experience in Agentic AI development and automation using Microsoft Copilot Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Familiarity with Microsoft Power Platform concepts, including Power Automate, Power Apps, and Dataverse. (LEAD) Experience applying Generative AI and prompting techniques. Strong understanding of AI governance, observability, and compliance frameworks. Proven ability to deliver secure, scalable, and responsible AI solutions. Excellent communication and presentation skills Extensive experience working collaboratively with diverse colleagues and stakeholders. Knowledge of the Microsoft ecosystem, particularly M365, Power Platform, and Azure. Experience integrating Copilot Studio with Azure AI Foundry solutions. Cyber Security Awareness
