Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 13, 2026
Full time
Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Jun 13, 2026
Seasonal
Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 13, 2026
Full time
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 13, 2026
Full time
Lead AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
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 13, 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.
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 12, 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!
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 12, 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.
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 11, 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 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 11, 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.
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 11, 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 11, 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
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 11, 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.
LEAD FULLSTACK SOFTWARE ENGINEER 12 month Contract 2-3 days per week in Westminster, London 650 - 700 per day inside IR35 TXP are looking for a Lead Fullstack Software Engineer to join our clients team. Working alongside existing developers, tech leads, and the platform group. This is application and service-level work, not infrastructure at the network or hardware layer. The separate Platform Engineering team owns the underlying cloud infrastructure, networking, and shared platform services; this role operates at the application layer, consuming and collaborating with the platform rather than owning it. Responsibilities Lead the migration of services off the London Datacentre onto AWS and Kubernetes, with .NET 10 as the target runtime Build and maintain shared service templates, libraries, and patterns so the wider team can converge on a consistent, modern estate Design and build migration pipelines that combine Terraform, CI/CD, and AI coding agents to refactor and move services at scale, including adding test coverage as part of the migration step Work with the platform team on observability, networking, and dependency management as services land in the cloud estate Required Experience Strong C# and .NET development experience (at least 8 years), including modern .NET and familiarity with the .NET Framework constraints typical of legacy estates Hands-on AWS experience, building g, deploying, and operating production workloads Production experience with Kubernetes, including deploying and operating workloads on K8s in a cloud environment Strong Terraform skills and a track record of using infrastructure-as-code to provision and manage cloud environments Comfortable working through authentication issues across a mixed estate, including handling legacy mechanisms and bringing services onto modern, token-based patterns Experience with SQL Server Active day-to-day use of agentic coding tools such as Claude Code, Codex, or equivalent, with a willingness to drive substantial refactors and migrations through them rather than by hand Desireable Experience Python development for tooling, automation, and pipeline work Experience leading large legacy-to-cloud migrations, particularly off on-prem Windows estates Experience designing service templates or "golden paths" that other engineers adopt and build on Familiarity with observability tooling, including metrics, tracing, and structured logging across distributed services
Jun 11, 2026
Contractor
LEAD FULLSTACK SOFTWARE ENGINEER 12 month Contract 2-3 days per week in Westminster, London 650 - 700 per day inside IR35 TXP are looking for a Lead Fullstack Software Engineer to join our clients team. Working alongside existing developers, tech leads, and the platform group. This is application and service-level work, not infrastructure at the network or hardware layer. The separate Platform Engineering team owns the underlying cloud infrastructure, networking, and shared platform services; this role operates at the application layer, consuming and collaborating with the platform rather than owning it. Responsibilities Lead the migration of services off the London Datacentre onto AWS and Kubernetes, with .NET 10 as the target runtime Build and maintain shared service templates, libraries, and patterns so the wider team can converge on a consistent, modern estate Design and build migration pipelines that combine Terraform, CI/CD, and AI coding agents to refactor and move services at scale, including adding test coverage as part of the migration step Work with the platform team on observability, networking, and dependency management as services land in the cloud estate Required Experience Strong C# and .NET development experience (at least 8 years), including modern .NET and familiarity with the .NET Framework constraints typical of legacy estates Hands-on AWS experience, building g, deploying, and operating production workloads Production experience with Kubernetes, including deploying and operating workloads on K8s in a cloud environment Strong Terraform skills and a track record of using infrastructure-as-code to provision and manage cloud environments Comfortable working through authentication issues across a mixed estate, including handling legacy mechanisms and bringing services onto modern, token-based patterns Experience with SQL Server Active day-to-day use of agentic coding tools such as Claude Code, Codex, or equivalent, with a willingness to drive substantial refactors and migrations through them rather than by hand Desireable Experience Python development for tooling, automation, and pipeline work Experience leading large legacy-to-cloud migrations, particularly off on-prem Windows estates Experience designing service templates or "golden paths" that other engineers adopt and build on Familiarity with observability tooling, including metrics, tracing, and structured logging across distributed services
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 11, 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.
A growing software team is looking for an Intermediate or Senior Developer to help build and evolve technology used across the eCommerce and logistics sector. The business provides a multi-carrier delivery platform that helps retailers manage parcel tracking, customer queries, delivery issues and claims through a single, customer-focused solution. The team is now growing and looking for another developer to contribute to both new development and the continued improvement of existing services. Software Developer Backend / Full-Stack Southampton, Hampshire - Hybrid, 2-3 days per week in the office 60,000 - 70,000 This is primarily a backend role, working with TypeScript, Node.js and cloud-based systems. There will also be scope to work across the full stack for someone who wants broader exposure. The team is also actively exploring how AI-assisted development and agentic systems can improve the way software is built and delivered. You do not need to be an AI tooling expert, but you should be curious about where software development is heading and open to using tools such as Claude, Cursor, GitHub Copilot or similar as part of a modern engineering workflow. The role You will join an experienced development team responsible for designing, building, testing, deploying and supporting software used by retailers and logistics providers. You can expect to be involved in: Building backend services and REST APIs using TypeScript and Node.js Writing clear, tested and maintainable code Contributing to the design and development of new features and services Supporting and improving existing systems Working with product, technical and leadership teams to understand requirements and shape solutions Deploying, supporting and maintaining software and infrastructure Using modern development practices including CI, automated testing, infrastructure as code and containerisation Learning GCP if your current cloud experience is mainly with AWS or Azure Exploring sensible use of AI-assisted development tools within the team's engineering practices What we are looking for The role could suit either an experienced mid-level developer ready for more ownership, or a senior developer looking for a hands-on role in a product-focused software environment. You will need experience with: TypeScript and Node.js Backend API development, ideally with Express, Nest.js or similar MongoDB and/or relational databases Unit testing, such as Jest or similar Cloud platforms, with GCP useful but not essential Docker and Docker Compose CI/CD or continuous delivery environments Infrastructure as code, ideally Terraform or similar Working collaboratively in a software development team Experience with AWS or Azure is absolutely fine if you are interested in building your GCP experience. Useful but not essential React or Next.js Kubernetes or serverless environments GitOps principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing UK development team working on software with real operational use in the eCommerce and logistics market. You will be joining a team that values good engineering practice, practical problem-solving and continuous learning. The role offers the opportunity to deepen your backend development experience, broaden into cloud and infrastructure, and gain exposure to how AI-assisted development is being adopted in real software teams. Apply now or contact Chris Lynes at Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Jun 11, 2026
Full time
A growing software team is looking for an Intermediate or Senior Developer to help build and evolve technology used across the eCommerce and logistics sector. The business provides a multi-carrier delivery platform that helps retailers manage parcel tracking, customer queries, delivery issues and claims through a single, customer-focused solution. The team is now growing and looking for another developer to contribute to both new development and the continued improvement of existing services. Software Developer Backend / Full-Stack Southampton, Hampshire - Hybrid, 2-3 days per week in the office 60,000 - 70,000 This is primarily a backend role, working with TypeScript, Node.js and cloud-based systems. There will also be scope to work across the full stack for someone who wants broader exposure. The team is also actively exploring how AI-assisted development and agentic systems can improve the way software is built and delivered. You do not need to be an AI tooling expert, but you should be curious about where software development is heading and open to using tools such as Claude, Cursor, GitHub Copilot or similar as part of a modern engineering workflow. The role You will join an experienced development team responsible for designing, building, testing, deploying and supporting software used by retailers and logistics providers. You can expect to be involved in: Building backend services and REST APIs using TypeScript and Node.js Writing clear, tested and maintainable code Contributing to the design and development of new features and services Supporting and improving existing systems Working with product, technical and leadership teams to understand requirements and shape solutions Deploying, supporting and maintaining software and infrastructure Using modern development practices including CI, automated testing, infrastructure as code and containerisation Learning GCP if your current cloud experience is mainly with AWS or Azure Exploring sensible use of AI-assisted development tools within the team's engineering practices What we are looking for The role could suit either an experienced mid-level developer ready for more ownership, or a senior developer looking for a hands-on role in a product-focused software environment. You will need experience with: TypeScript and Node.js Backend API development, ideally with Express, Nest.js or similar MongoDB and/or relational databases Unit testing, such as Jest or similar Cloud platforms, with GCP useful but not essential Docker and Docker Compose CI/CD or continuous delivery environments Infrastructure as code, ideally Terraform or similar Working collaboratively in a software development team Experience with AWS or Azure is absolutely fine if you are interested in building your GCP experience. Useful but not essential React or Next.js Kubernetes or serverless environments GitOps principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing UK development team working on software with real operational use in the eCommerce and logistics market. You will be joining a team that values good engineering practice, practical problem-solving and continuous learning. The role offers the opportunity to deepen your backend development experience, broaden into cloud and infrastructure, and gain exposure to how AI-assisted development is being adopted in real software teams. Apply now or contact Chris Lynes at Spectrum IT Recruitment. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
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 10, 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.
Our client is seeking an experienced Application Architect with experience in Oracle Cloud Applications to join a high-profile programme focused on delivering innovative Oracle Fusion and AI-driven solutions. This is an excellent opportunity for a specialist with strong Oracle Fusion expertise and hands-on experience in Generative AI, Agentic AI, and enterprise integration architecture. Job Title: Application Architect - Oracle Cloud Applications (Oracle Fusion AI & Integration) Location: Remote within the UK (occasional travel to Birmingham and London as required) Contract: Temporary - Inside IR35 Rate: 420 per day Eligibility: UK Citizens only with a minimum of 5 years' continuous UK residency Working within a complex enterprise environment, you will be responsible for designing, developing, and deploying AI-powered solutions that integrate seamlessly with Oracle Fusion Applications while ensuring security, scalability, and operational excellence. Responsibilities include but are not limited to: Design, develop, and deploy Generative AI and Agentic AI solutions using Oracle Fusion AI Agent Studio and related technologies. Architect and implement integrations between Oracle Fusion Applications and external enterprise platforms using Oracle Fusion REST APIs. Develop and optimise intelligent agents and AI-driven workflows to enhance business processes. Ensure all API integrations adhere to security best practices, including OAuth, JWT authentication and API Gateway policies. Collaborate with business and technical stakeholders to gather requirements and define solution architectures. Provide subject matter expertise on Oracle Fusion Applications, AI capabilities and integration strategies. Troubleshoot, fine-tune, and optimise AI models, integrations and workflows for performance and reliability. Support operational excellence through root cause analysis, trend analysis and continuous improvement initiatives. Mentor technical teams, contribute to knowledge sharing and develop supporting documentation and operational procedures. Participate in change validation, capacity planning and governance activities. What we are looking for: UK Citizen currently residing in the UK with a minimum of 5 years' continuous UK residency. Proven experience using Oracle Fusion AI Agent Studio to build and deploy intelligent agents and Agentic AI solutions. Strong experience with Oracle Fusion REST APIs, including integration design, deployment and consumption of GenAI services. Deep understanding of API security principles, including: OAuth JWT API Gateway security policies Strong knowledge of Oracle Fusion Applications, including: ERP HCM SCM Hands-on experience with Generative AI technologies, including: Large Language Models (LLMs) Prompt engineering Model fine-tuning AI solution deployment Demonstrable experience designing and delivering complex enterprise integrations. Strong stakeholder engagement and communication skills. Excellent analytical and problem-solving capabilities. Experience supporting Oracle Exadata environments (desirable). Oracle Database Administration experience (desirable). Knowledge of operational support and incident management processes (desirable). Experience producing root cause analysis and trend analysis reports (desirable). Oracle Database Administrator Certified Professional (desirable). ITIL Foundation Certification(desirable). This role offers the opportunity to work on cutting-edge Oracle Fusion and AI initiatives within a large-scale enterprise environment. You will play a key role in shaping the adoption of Generative AI and Agentic AI technologies while working alongside experienced architects, engineers and business stakeholders. Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.
Jun 10, 2026
Seasonal
Our client is seeking an experienced Application Architect with experience in Oracle Cloud Applications to join a high-profile programme focused on delivering innovative Oracle Fusion and AI-driven solutions. This is an excellent opportunity for a specialist with strong Oracle Fusion expertise and hands-on experience in Generative AI, Agentic AI, and enterprise integration architecture. Job Title: Application Architect - Oracle Cloud Applications (Oracle Fusion AI & Integration) Location: Remote within the UK (occasional travel to Birmingham and London as required) Contract: Temporary - Inside IR35 Rate: 420 per day Eligibility: UK Citizens only with a minimum of 5 years' continuous UK residency Working within a complex enterprise environment, you will be responsible for designing, developing, and deploying AI-powered solutions that integrate seamlessly with Oracle Fusion Applications while ensuring security, scalability, and operational excellence. Responsibilities include but are not limited to: Design, develop, and deploy Generative AI and Agentic AI solutions using Oracle Fusion AI Agent Studio and related technologies. Architect and implement integrations between Oracle Fusion Applications and external enterprise platforms using Oracle Fusion REST APIs. Develop and optimise intelligent agents and AI-driven workflows to enhance business processes. Ensure all API integrations adhere to security best practices, including OAuth, JWT authentication and API Gateway policies. Collaborate with business and technical stakeholders to gather requirements and define solution architectures. Provide subject matter expertise on Oracle Fusion Applications, AI capabilities and integration strategies. Troubleshoot, fine-tune, and optimise AI models, integrations and workflows for performance and reliability. Support operational excellence through root cause analysis, trend analysis and continuous improvement initiatives. Mentor technical teams, contribute to knowledge sharing and develop supporting documentation and operational procedures. Participate in change validation, capacity planning and governance activities. What we are looking for: UK Citizen currently residing in the UK with a minimum of 5 years' continuous UK residency. Proven experience using Oracle Fusion AI Agent Studio to build and deploy intelligent agents and Agentic AI solutions. Strong experience with Oracle Fusion REST APIs, including integration design, deployment and consumption of GenAI services. Deep understanding of API security principles, including: OAuth JWT API Gateway security policies Strong knowledge of Oracle Fusion Applications, including: ERP HCM SCM Hands-on experience with Generative AI technologies, including: Large Language Models (LLMs) Prompt engineering Model fine-tuning AI solution deployment Demonstrable experience designing and delivering complex enterprise integrations. Strong stakeholder engagement and communication skills. Excellent analytical and problem-solving capabilities. Experience supporting Oracle Exadata environments (desirable). Oracle Database Administration experience (desirable). Knowledge of operational support and incident management processes (desirable). Experience producing root cause analysis and trend analysis reports (desirable). Oracle Database Administrator Certified Professional (desirable). ITIL Foundation Certification(desirable). This role offers the opportunity to work on cutting-edge Oracle Fusion and AI initiatives within a large-scale enterprise environment. You will play a key role in shaping the adoption of Generative AI and Agentic AI technologies while working alongside experienced architects, engineers and business stakeholders. Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.
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 09, 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 Associate Director (London) - Client-Facing AI Solutions & Architecture Overview Method has partnered with a digital consulting firm investing heavily in its AI and client-facing technology capabilities. As the business continues to evolve its AI offering, they are looking to hire an Associate Director to help shape, design, and deliver enterprise AI solutions across a growing portfolio of clients. This role is suited to someone who combines strong technical understanding of modern AI technologies with the ability to engage confidently with senior client stakeholders. You will play a key role in translating business challenges into practical AI solutions, supporting both pre-sales activity and delivery execution across consulting engagements. The Opportunity AI is becoming a core part of how the business delivers value to clients. This role will sit at the intersection of solution architecture, client advisory, and AI implementation, helping clients understand how technologies such as generative AI, LLMs, and agentic workflows can be applied in real-world enterprise environments. You will work closely with Partners, delivery teams, and clients to shape AI-enabled solutions that are commercially viable, technically scalable, and deliver measurable outcomes. Key Responsibilities Lead technical discovery sessions with clients to understand business challenges, operational processes, and AI opportunities Design and architect AI-enabled solutions across areas such as generative AI, LLMs, agentic workflows, automation, and enterprise integration Support RFPs, proposals, and pre-sales engagements by defining solution approaches, technical architecture, delivery models, and implementation plans Work closely with consulting and engineering teams to ensure solutions are practical, scalable, secure, and aligned to client requirements Translate complex technical concepts into clear business-focused recommendations for senior stakeholders Provide hands-on input into AI implementation projects, including solution design, workflow architecture, tooling decisions, and platform selection Support the development of repeatable AI-enabled offerings, accelerators, and frameworks across the consulting practice Act as a trusted advisor to clients throughout discovery, design, and early delivery phases Stay current on emerging AI technologies, enterprise adoption trends, governance considerations, and market developments Technical Focus Areas Agentic AI and enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems integration Azure OpenAI, AWS Bedrock, GCP Vertex AI, or similar platforms Enterprise AI governance, scalability, and deployment considerations AI-enabled automation and operational transformation Skills & Experience Experience delivering AI, data, or digital transformation solutions within a consulting or professional services environment Strong understanding of agentic AI, LLMs, and modern AI solution patterns Experience leading client-facing workshops, technical discovery sessions, and solution discussions Proven ability to shape technical solutions for proposals, RFPs, and consulting engagements Strong stakeholder management skills with the ability to engage credibly with both technical and non-technical audiences Experience working across architecture, delivery, and advisory functions within complex enterprise environments Ability to balance hands-on technical involvement with client engagement responsibilities Consulting experience from firms or similar environments would be highly beneficial Why This Role Opportunity to help shape a growing AI capability within an evolving consulting business High exposure to enterprise AI transformation programmes and senior client stakeholders Broad role spanning advisory, architecture, solution design, and delivery engagement Clear progression path into broader AI leadership responsibilities over time £100,000-£130,000 base + bonus AI Associate Director (London) - Client-Facing AI Solutions & Architecture RSG Plc is acting as an Employment Agency in relation to this vacancy.
Jun 08, 2026
Full time
AI Associate Director (London) - Client-Facing AI Solutions & Architecture Overview Method has partnered with a digital consulting firm investing heavily in its AI and client-facing technology capabilities. As the business continues to evolve its AI offering, they are looking to hire an Associate Director to help shape, design, and deliver enterprise AI solutions across a growing portfolio of clients. This role is suited to someone who combines strong technical understanding of modern AI technologies with the ability to engage confidently with senior client stakeholders. You will play a key role in translating business challenges into practical AI solutions, supporting both pre-sales activity and delivery execution across consulting engagements. The Opportunity AI is becoming a core part of how the business delivers value to clients. This role will sit at the intersection of solution architecture, client advisory, and AI implementation, helping clients understand how technologies such as generative AI, LLMs, and agentic workflows can be applied in real-world enterprise environments. You will work closely with Partners, delivery teams, and clients to shape AI-enabled solutions that are commercially viable, technically scalable, and deliver measurable outcomes. Key Responsibilities Lead technical discovery sessions with clients to understand business challenges, operational processes, and AI opportunities Design and architect AI-enabled solutions across areas such as generative AI, LLMs, agentic workflows, automation, and enterprise integration Support RFPs, proposals, and pre-sales engagements by defining solution approaches, technical architecture, delivery models, and implementation plans Work closely with consulting and engineering teams to ensure solutions are practical, scalable, secure, and aligned to client requirements Translate complex technical concepts into clear business-focused recommendations for senior stakeholders Provide hands-on input into AI implementation projects, including solution design, workflow architecture, tooling decisions, and platform selection Support the development of repeatable AI-enabled offerings, accelerators, and frameworks across the consulting practice Act as a trusted advisor to clients throughout discovery, design, and early delivery phases Stay current on emerging AI technologies, enterprise adoption trends, governance considerations, and market developments Technical Focus Areas Agentic AI and enterprise LLM applications Retrieval-Augmented Generation (RAG) architectures AI agents and workflow orchestration AI solution architecture and systems integration Azure OpenAI, AWS Bedrock, GCP Vertex AI, or similar platforms Enterprise AI governance, scalability, and deployment considerations AI-enabled automation and operational transformation Skills & Experience Experience delivering AI, data, or digital transformation solutions within a consulting or professional services environment Strong understanding of agentic AI, LLMs, and modern AI solution patterns Experience leading client-facing workshops, technical discovery sessions, and solution discussions Proven ability to shape technical solutions for proposals, RFPs, and consulting engagements Strong stakeholder management skills with the ability to engage credibly with both technical and non-technical audiences Experience working across architecture, delivery, and advisory functions within complex enterprise environments Ability to balance hands-on technical involvement with client engagement responsibilities Consulting experience from firms or similar environments would be highly beneficial Why This Role Opportunity to help shape a growing AI capability within an evolving consulting business High exposure to enterprise AI transformation programmes and senior client stakeholders Broad role spanning advisory, architecture, solution design, and delivery engagement Clear progression path into broader AI leadership responsibilities over time £100,000-£130,000 base + bonus AI Associate Director (London) - Client-Facing AI Solutions & Architecture RSG Plc is acting as an Employment Agency in relation to this vacancy.
AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 - £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. What you'll be working on as an AI Engineer - LLM & Agentic Systems: Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability. Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last. You're experience as an AI Engineer - LLM & Agentic Systems: Proven, production-grade experience shipping LLM-powered systems - with clear, real-world examples you can speak to confidently. Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept. Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with a firm grasp of system design principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher in a mathematical, scientific or computer science discipline. More importantly, you've built things that are used - and you can explain clearly why you made the decisions you did. At senior and lead level, we're looking for people who take strong ownership, mentor others naturally and can drive complete workflows and projects from brief through to delivery. A background in SaaS, B2B AI products or large-scale AI transformation is a strong signal. Ambitious, but a genuine team player - you raise the bar without making it about yourself. If you're building serious AI systems and want to do it at scale within a well-established global business, we'd welcome a conversation. Machine Learning & Agentic AI
Jun 07, 2026
Contractor
AI Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 - £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI / Machine Learning. Company: Our client is a globally established B2B information and professional services business, operating across multiple high-value industry sectors. They have established data science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos, not prototypes - and you want to do that at genuine scale, this is worth applying for. What you'll be working on as an AI Engineer - LLM & Agentic Systems: Designing and building AI agents and agentic workflows - combining LLMs, RAG, reasoning, memory and tool orchestration to solve real, complex business problems. Owning delivery end-to-end - from initial exploration through to production deployment, integration and ongoing iteration. Working with MCP-style architectures (FastMCP/FastAPI) and LangChain/LangGraph or equivalent frameworks to build reliable, scalable systems. Integrating AI into products, APIs and core business workflows - with a sharp eye on latency, cost and real-world usability. Collaborating closely with engineering teams to ensure systems are observable, maintainable and built to last. You're experience as an AI Engineer - LLM & Agentic Systems: Proven, production-grade experience shipping LLM-powered systems - with clear, real-world examples you can speak to confidently. Hands-on experience building AI agents including tool use, orchestration and multi-step reasoning - RAG systems that actually deliver, not just proofs of concept. Strong Python skills and solid machine learning foundations - able to write clean, production-grade code with a firm grasp of system design principles. Cloud deployment experience across AWS, GCP or Azure, using modern engineering practices. A product mindset - you care about impact and adoption, not just model performance. You understand LLM and machine learning trade-offs and design systems accordingly. About you: You'll likely have a Masters or higher in a mathematical, scientific or computer science discipline. More importantly, you've built things that are used - and you can explain clearly why you made the decisions you did. At senior and lead level, we're looking for people who take strong ownership, mentor others naturally and can drive complete workflows and projects from brief through to delivery. A background in SaaS, B2B AI products or large-scale AI transformation is a strong signal. Ambitious, but a genuine team player - you raise the bar without making it about yourself. If you're building serious AI systems and want to do it at scale within a well-established global business, we'd welcome a conversation. Machine Learning & Agentic AI
