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)
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Jun 13, 2026
Full time
Principal AI Scientist - Learning & Assessment AI Location: UK Remote (Candidates must be UK based) Salary: 110,000 - 125,000 Employment Type: Permanent The Opportunity We're working with an innovative technology-led organisation that is transforming how AI is used within learning, assessment, and workforce skills development. They are seeking a Principal AI Scientist to lead the scientific design, validation, and evolution of next-generation AI-powered assessment and learning solutions embedded directly into the flow of work. This is a senior individual contributor role suited to someone with deep expertise across AI/ML, psychometrics, measurement science, and production-scale intelligent systems. The successful candidate will operate as a scientific authority within the organisation, shaping methodology, influencing product direction, and ensuring AI-driven solutions are fair, explainable, scalable, and scientifically rigorous. The role offers the opportunity to work at the intersection of modern AI systems, applied research, and enterprise-scale product delivery. The Role As Principal AI Scientist, you will take ownership of the scientific and methodological direction of AI-enabled learning and assessment products. You will work closely with product leadership, engineering teams, data scientists, and domain experts to translate advanced research into production-ready systems that deliver measurable user and business outcomes. This position requires someone comfortable operating in highly complex environments with significant technical, ethical, and commercial considerations. Key Responsibilities Scientific Leadership & Product Ownership Lead the scientific strategy for AI-enabled assessment, learning, and skills products Define robust methodologies balancing innovation, scalability, fairness, validity, and explainability Act as the senior scientific authority for assessment and measurement decisions Establish scientific standards, reusable frameworks, and evaluation methodologies Lead validation studies to ensure reliability, consistency, fairness, and performance stability Define and monitor scientific KPIs including drift detection, bias indicators, and model effectiveness Identify and mitigate scientific and measurement risks associated with AI systems at scale AI, Machine Learning & Modern AI Systems Apply AI and machine learning techniques, including LLMs and foundation models, to learning and assessment use cases Support development of AI-powered capabilities such as: Skills inference Adaptive assessment Automated content generation AI-driven feedback and reasoning systems Contribute to the evaluation and governance of agentic AI workflows Partner with engineering teams to ensure scientific integrity is maintained throughout implementation and deployment Support lifecycle monitoring and continuous improvement of production AI systems Research, Innovation & Strategic Influence Translate research findings into scalable, commercially viable product capabilities Produce thought leadership content including whitepapers and scientific insights Influence product and AI strategy through scientific expertise and evidence-based recommendations Support internal and external discussions around responsible AI and ethical AI implementation Engage with enterprise stakeholders and senior leadership on scientific and AI-related topics Required Experience Advanced degree (MSc or PhD preferred) in: Psychometrics Educational Measurement Statistics Machine Learning Artificial Intelligence Data Science Or equivalent commercial experience Proven experience building or leading AI-enabled assessment or measurement systems Deep expertise in validation methodologies, statistical modelling, and measurement theory Strong applied experience with machine learning and AI systems in production environments Practical understanding of modern AI architectures including Large Language Models (LLMs) Experience collaborating closely with engineering and product teams Ability to influence technical and strategic decisions through expertise rather than direct authority Experience operating in complex, high-ambiguity environments with significant business or ethical risk considerations Desirable Experience Experience applying LLMs within learning, workforce skills, or assessment products Exposure to adaptive testing, continuous assessment, or automated item/content generation Experience evaluating or governing AI agentic workflows Background within learning technology, education technology, workforce development, or skills ecosystems Experience working on enterprise-scale or long-lived AI platforms What They're Looking For A scientifically rigorous thinker with strong commercial awareness Someone passionate about responsible and explainable AI Comfortable balancing research innovation with practical delivery Strong communicator able to work across technical and non-technical audiences A collaborative leader who enjoys solving complex real-world problems Package 110,000 - 125,000 salary Fully remote role within the UK High-impact position within a cutting-edge AI environment Opportunity to influence next-generation AI products at scale Please note: Applicants must be based in the UK. Sponsorship is not available for this position.
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Jun 13, 2026
Full time
Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.
Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
Jun 13, 2026
Full time
Applied AI Software Engineer - LangChain, LangGraph, RAG, Knowledge Graphs A high-growth, technology-led scale-up (backed by a global leading organisation) is expanding its engineering capability following a highly successful 2025. As part of significant continued investment, they are hiring a Software Engineer to lead the design and development of next-generation AI products and services across Finance, supporting both internal operations and external platforms. This is an opportunity to work in a modern, cloud-native engineering environment, building intelligent agentic AI systems that can reason, plan and act autonomously. You will take ownership of solutions end-to-end; from design and architecture, through development and deployment, to optimisation and continuous improvement. You'll work closely with engineering, product and platform teams to embed Agentic AI and LLM-driven workflows into real-world products, contributing to architectural decisions, engineering standards and best practices. Location: Remote with twice a month travel to Leeds / Bradford Salary: £90,000 to £110,000 + 15% Bonus + Excellent Benefits To be considered Strong experience as an AI Engineer / ML Engineer / Software Engineer with applied AI exposure. Hands-on Python development experience delivering production-grade systems. Practical experience building agentic AI workflows (LangGraph / LangChain or similar frameworks). Exposure to Knowledge Graphs (Neo4j / RDF / graph-based enrichment or retrieval). Experience integrating LLM APIs (OpenAI or similar), with prompt design and orchestration. This is an excellent opportunity for a senior developer to build impactful Agentic AI systems, influence technical direction, and work within an organisation that is actively investing in AI as a core capability.
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!
Principal Software Engineer We are looking for a highly experienced Principal Software Engineer with strong backend engineering expertise and a passion for scalable distributed systems. You will play a key role in shaping architecture, engineering standards, and technical direction across the platform. Join a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Principal Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern, scalable core banking platform. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £100,000 To £120,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Driving architectural decisions across distributed systems and cloud infrastructure Leading technical design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Proven experience designing and scaling complex distributed systems Strong architectural leadership experience Experience mentoring or leading senior engineers/teams Ability to influence technical direction across multiple workstreams Experience operating within high-scale or regulated environments Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Opportunity to shape the architecture of a next-generation banking platform High level of technical autonomy and influence Ability to help define engineering practices in an AI-assisted development environment Enjoy the freedom of remote-first work with regular in-person meetings. High trust, low bureaucracy and a culture of respect & accountability. Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers
Jun 12, 2026
Full time
Principal Software Engineer We are looking for a highly experienced Principal Software Engineer with strong backend engineering expertise and a passion for scalable distributed systems. You will play a key role in shaping architecture, engineering standards, and technical direction across the platform. Join a fast-growing Banking SaaS provider building next generation core banking technology. We are looking for Principal Software Engineers with experience in Node.js / TypeScript / JavaScript, .NET / C#, or Java. You will work directly on customer problems, understand the business context and own solutions end-to-end. From concept and design through to development, release, monitoring and operational support. You will join a team building a modern, scalable core banking platform. This requires intellectual curiosity, discipline, and deep architectural thinking to build technology capable of evolving alongside regulatory and technological change. Location: Remote-first but UK-based for essential company events. Travel to London will be required on a quarterly basis for team meetings, with 2 companywide annual meetings offsite. Salary : £100,000 To £120,000 (Based on Experience) plus Benefits including 25 days holiday + bank holidays, Family Health Insurance, Life Insurance, Regular social events What You ll Work On The environment is primarily Node.js and Go but strong engineers from .NET/C# or Java backgrounds are encouraged to apply. Integrating with payment platforms, banking infrastructure, FX/crypto providers, and card processors Driving architectural decisions across distributed systems and cloud infrastructure Leading technical design reviews and influencing engineering best practices Mentoring engineers and helping scale a high-performing engineering culture Designing and optimising SQL and NoSQL data models Developing APIs, asynchronous workflows, and event-streaming pipelines Deploying secure, high availability services across AWS, GCP, and Azure How Engineering Works We heavily utilise agentic coding and AI-assisted development workflows, including Claude Code, to accelerate engineering productivity Principal Engineers play a key role in technical strategy, architecture governance and engineering direction Engineers focus on solving complex technical and domain challenges rather than repetitive boilerplate development Collaborative engineering culture with involvement in architecture, design discussions, and domain modelling End-to-end ownership of features from development and testing through to deployment, monitoring, and production support Experience Required Degree educated Development experience in either Node.js with JavaScript & Typescript, .NET, C# or Java AWS experience preferred (Azure, GCP also welcomed) Strong understanding of relational databases, ideally MySQL Interest in agentic engineering workflows and AI-assisted development Experience designing APIs and distributed systems Proven experience designing and scaling complex distributed systems Strong architectural leadership experience Experience mentoring or leading senior engineers/teams Ability to influence technical direction across multiple workstreams Experience operating within high-scale or regulated environments Nice to have: Expertise in AWS Lambda, Fargate, SQS/SNS, DynamoDB and cloud native architectures Client-facing experience Ideally experience within Fintech, Banking or enterprise SaaS Why Join Opportunity to shape the architecture of a next-generation banking platform High level of technical autonomy and influence Ability to help define engineering practices in an AI-assisted development environment Enjoy the freedom of remote-first work with regular in-person meetings. High trust, low bureaucracy and a culture of respect & accountability. Competitive salary, benefits, and a company that celebrates your success. Perks 25 days holiday + bank holidays; Family Health Insurance, Life Cover, EMI Share Options (you will share in their success), Remote working environment (quarterly meetings in London). Zorba Consulting is operating as an employment agency for permanent recruitment and employment business for supplying temporary workers
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Jun 12, 2026
Full time
Senior AI Engineer (Gen AI & RAG) Greater London, England, United Kingdom (On-site) Join an award-winning, internationally recognised B2B Consultancy as a Senior AI Engineer, where you will play a central role in delivering and evolving production-grade generative AI capabilities that power real-world business outcomes. This is a senior, hands-on engineering role focused on building the intelligence layer of next-generation AI products. You will architect and implement Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and rigorous evaluation frameworks that ensure AI systems are accurate, reliable, and grounded in genuine business value. Reporting to the Director of AI, you will bridge strategy and execution - translating architectural direction into high-quality, scalable implementations in close collaboration with AI Platform Engineering. What You'll Do Design, build, and deploy production-grade generative AI systems that perform reliably at scale. Implement and continuously improve RAG pipelines that effectively leverage proprietary and domain-specific content. Develop agentic and workflow-driven AI patterns with a strong emphasis on determinism, quality, and long-term maintainability. Apply model adaptation techniques - prompting, fine-tuning, distillation - to optimise for quality, latency, and cost efficiency. Drive strong experimentation and evaluation practices, measuring correctness, faithfulness, and robustness across AI outputs. Provide hands-on technical leadership, mentoring engineers and contributing meaningful code-level guidance across the team. Work closely with platform, product, and delivery teams to accelerate the path from AI experimentation to production deployment. Explore and apply advanced retrieval approaches, including Graph-RAG and structured knowledge representation, where they deliver clear value. Required Skills & Experience Strong Python proficiency for production-grade AI development, with hands-on experience across LlamaIndex, LangChain, and LangGraph. Proven track record building Retrieval-Augmented Generation (RAG) systems; Graph-RAG exposure is a distinct advantage. Practical experience with model adaptation techniques including prompting, fine-tuning, instruction tuning, or knowledge distillation. Solid grounding in evaluation and experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production delivery, and communicating with clarity across technical and non-technical stakeholders. This is a compelling opportunity to work at the forefront of applied Generative AI, where your contributions directly shape customer-facing products and drive measurable business impact. You will bring genuine technical ownership and autonomy, supported by a world-class leadership team with a clear and ambitious AI roadmap. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.
Ruleguard have an exciting opportunity for a Solutions Engineer to join the team based in London on a hybrid basis . You will join us on a full-time, permanent contract and in return, you will receive a competitive salary of £100,000 - £120,000 per annum. The Solutions Engineer role: This is a pre-sales and solutions role sitting at the intersection of compliance expertise and technology. You will lead the technical and functional dimension of the sales process, running product demonstrations, shaping solution narratives, and ensuring that what we propose is grounded in industry realities and how the platform actually works. You will work closely with our sales team, providing the compliance depth and platform fluency that turns an interested prospect into a confident buyer. Responsibilities of our Solutions Engineer include: Demonstrations and Pre-Sales Engagement Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients Solution Design and Proposals Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement. Support proof-of-concept and implementation activities, helping clients configure workflows, troubleshoot issues, and optimise operational adoption. Translate complex compliance and operational requirements into scalable platform configurations, workflow logic, governance controls, and solution designs. Work with clients to operationalise Ruleguard within real-world enterprise environments, including integration into internal systems, workflows, data sources, and approval processes. Maintain a working knowledge of how Ruleguard is configured across different client types, using that pattern recognition to sharpen pre-sales conversations Platform Knowledge and Collateral Develop and maintain deep working knowledge of the Ruleguard platform across all solution modules, including regulatory change, policy management, conflicts of interest, personal account trading, gifts and entertainment, and related areas Stay current with regulatory developments relevant to Ruleguard's client base, ensuring that demonstrations and solution narratives reflect the compliance environment prospects are operating in Contribute to the development of demo environments, scenario libraries, and pre-sales collateral, improving the quality and consistency of how the platform is presented to market What we are looking for in our Solutions Engineer: Compliance and Domain Knowledge Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace Pre-Sales and Client-Facing Skills Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative Clear written communication; produces documentation that is precise, well-organised, and appropriate for a client audience Technical and Analytical Comfortable learning and administering SaaS platforms; picks up new systems quickly and applies that knowledge practically Proficient with data, dashboards, and reporting, and able to work with the outputs of a compliance platform and interpret them for a client audience Comfortable troubleshooting complex SaaS implementations across integrations, workflow configuration, user permissions, and data quality issues. Familiarity with workflow automation, AI-assisted operations, or agentic SaaS concepts, including approval flows, retrieval-driven workflows, permissions, and human-in-the-loop controls. Familiar with AI tools and their application in compliance operations and the broader GRC technology market Organised and methodical; able to manage multiple pre-sales engagements in parallel without losing track of detail or follow-up If you are looking for a new challenge, please click apply now to be considered as our Solutions Engineer - we d love to hear from you!
Jun 12, 2026
Full time
Ruleguard have an exciting opportunity for a Solutions Engineer to join the team based in London on a hybrid basis . You will join us on a full-time, permanent contract and in return, you will receive a competitive salary of £100,000 - £120,000 per annum. The Solutions Engineer role: This is a pre-sales and solutions role sitting at the intersection of compliance expertise and technology. You will lead the technical and functional dimension of the sales process, running product demonstrations, shaping solution narratives, and ensuring that what we propose is grounded in industry realities and how the platform actually works. You will work closely with our sales team, providing the compliance depth and platform fluency that turns an interested prospect into a confident buyer. Responsibilities of our Solutions Engineer include: Demonstrations and Pre-Sales Engagement Lead product demonstrations across the full Ruleguard platform, tailoring the narrative to the prospect's regulatory profile, firm type, and priority compliance obligations Prepare thoroughly for each demo, researching the prospect's context and structuring the session around their specific pain points rather than a generic feature walkthrough Handle functional and technical questions during demonstrations with confidence, distinguishing clearly between current platform capability and the product roadmap Work with sales colleagues to plan and sequence the pre-sales process, advising on when and how to deploy demonstrations, proof-of-concept exercises, and follow-up sessions Coach and support sales colleagues through demonstrations where a subject matter lead is not present, providing briefing materials, talk tracks, and objection-handling guidance Configure AI agents using goals, intent, constraints, guardrails and context to demonstrate real efficiencies that this technology can bring to our clients Solution Design and Proposals Translate prospect requirements into clear, well-structured solution design and scoping documents for internal use and client presentation Map client workflows to platform capabilities, identifying where configuration can meet requirements directly, where bespoke approaches are needed, and where gaps exist Contribute to proposal and RFP responses, providing the functional and technical content that underpins the commercial offer Collaborate closely with Product and Engineering teams to surface recurring customer requirements, implementation patterns, and opportunities for product enhancement. Support proof-of-concept and implementation activities, helping clients configure workflows, troubleshoot issues, and optimise operational adoption. Translate complex compliance and operational requirements into scalable platform configurations, workflow logic, governance controls, and solution designs. Work with clients to operationalise Ruleguard within real-world enterprise environments, including integration into internal systems, workflows, data sources, and approval processes. Maintain a working knowledge of how Ruleguard is configured across different client types, using that pattern recognition to sharpen pre-sales conversations Platform Knowledge and Collateral Develop and maintain deep working knowledge of the Ruleguard platform across all solution modules, including regulatory change, policy management, conflicts of interest, personal account trading, gifts and entertainment, and related areas Stay current with regulatory developments relevant to Ruleguard's client base, ensuring that demonstrations and solution narratives reflect the compliance environment prospects are operating in Contribute to the development of demo environments, scenario libraries, and pre-sales collateral, improving the quality and consistency of how the platform is presented to market What we are looking for in our Solutions Engineer: Compliance and Domain Knowledge Prior experience working within or alongside a risk or compliance function in financial services, whether as a compliance analyst, associate, or officer, or in a consulting or advisory role serving compliance teams Solid working knowledge of core compliance disciplines including regulatory change management, conflicts of interest, policy and procedure governance, and employee monitoring Familiarity with the regulatory environment relevant to asset managers, wealth managers, broker-dealers, or similar regulated firms Genuine curiosity about how regulation is evolving and how technology can help compliance teams keep pace Pre-Sales and Client-Facing Skills Confident and credible in front of senior compliance and risk stakeholders, able to lead a conversation rather than present slides Able to read a room, adapt a demonstration in real time, and handle questions without losing the thread of the narrative Clear written communication; produces documentation that is precise, well-organised, and appropriate for a client audience Technical and Analytical Comfortable learning and administering SaaS platforms; picks up new systems quickly and applies that knowledge practically Proficient with data, dashboards, and reporting, and able to work with the outputs of a compliance platform and interpret them for a client audience Comfortable troubleshooting complex SaaS implementations across integrations, workflow configuration, user permissions, and data quality issues. Familiarity with workflow automation, AI-assisted operations, or agentic SaaS concepts, including approval flows, retrieval-driven workflows, permissions, and human-in-the-loop controls. Familiar with AI tools and their application in compliance operations and the broader GRC technology market Organised and methodical; able to manage multiple pre-sales engagements in parallel without losing track of detail or follow-up If you are looking for a new challenge, please click apply now to be considered as our Solutions Engineer - we d love to hear from you!
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.
We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
Jun 11, 2026
Full time
We are partnering with an established organisation currently investing significantly in its AI and generative search capabilities. They are looking to appoint a Senior AI Engineer to play a key role in designing and delivering production-grade AI systems focused on accuracy, scalability, and real-world impact. This position sits within a growing AI function and will focus heavily on Retrieval-Augmented Generation (RAG), agentic workflows, evaluation frameworks, and LLM optimisation. Key Responsibilities: Design and develop scalable RAG pipelines and generative AI workflows Build solutions using LangChain, LangGraph, and LlamaIndex Implement retrieval strategies including reranking, chunking, and retrieval fusion Develop agentic workflows with a focus on robustness and maintainability Contribute to experimentation, evaluation, and AI quality frameworks Support fine-tuning, instruction tuning, and model optimisation initiatives Mentor junior engineers and contribute to technical best practices Key Requirements: Strong Python engineering experience Commercial experience building production-grade AI/ML systems Hands-on experience with RAG architectures and LLM workflows Experience with LangChain, LangGraph, and/or Llama Index Understanding of evaluation methodologies for generative AI Experience working within scalable cloud environments (AWS preferred) Ability to operate in a senior or technical leadership capacity Desirable: Graph-RAG experience Databricks exposure Experience deploying customer-facing AI systems This is an excellent opportunity to join a forward-thinking organisation where AI is a genuine strategic priority and engineering quality is highly valued. 51752MS INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.
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.
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI / Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; (phone number removed) base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/ team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
Jun 10, 2026
Full time
Artificial Intelligence AI Engineering Manager This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to join a thriving STEM business as they invest in their Artificial Intelligence AI Engineering team Role details Title: Artificial Intelligence AI Engineering Manager Team: Core AI / Applied AI Platforms Location: London or Glasgow, 1 or 2 days a week in the office with flexibility and home working hybrid Reports to the Director of Artificial Intelligence AI Salary; (phone number removed) base salary Technical stack: AI & Emerging Technology Expertise- agent or autonomous AI systems., LLM, Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). This is a new and exclusive opportunity for an Artificial Intelligence AI Engineering Manager to lead the design, delivery, and scale of enterprise-grade AI engineering strategy and capabilities, with a focus on agentic AI systems, cloud-native architectures, and responsible AI deployment. This role operates as a player-coach, combining hands-on engineering leadership with team management. The AI Engineering Manager is accountable for building high-performing teams, delivering production AI solutions, and embedding security, governance, and reliability into all AI workloads. This role will include:- AI Platform Engineering & Delivery Agentic AI & Orchestration AI Security, Safety & Governance Cloud & Infrastructure Engineering Leadership & Team Development Stakeholder Engagement & Strategy To be successful in this role, we need someone who can combine technical Artificial Intelligence AI engineering skills, and team leadership/ team management experience Core Technical Competencies Strong hands-on experience with Azure AI ecosystem (Azure OpenAI, AI Foundry, Cognitive Services). Experience with LLM application design: RAG, prompt engineering, orchestration frameworks. AI & Emerging Technology Expertise- agent or autonomous AI systems. Requirements Leadership & Delivery Experience - 5+ years in senior engineering roles, with experience leading technical teams. AZURE expertise AI & Emerging Technology Expertise- agent or autonomous AI systems. For more information, and the chance to be considered, please do send through a CV through to k.roe at Huxley Many thanks To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Jun 10, 2026
Full time
PRINCIPAL AI CONSULTANT Remote role with travel to client sites as required Lead the delivery of enterprise-scale AI solutions for a growing consultancy Highly client-facing role with influence across strategy, architecture, and delivery Work with Azure AI Foundry, Databricks, MLOps, and cutting-edge agentic AI technologies ABOUT THE CLIENT We're partnering with a growing consultancy at the forefront of AI and data innovation, helping organisations unlock greater value through modern engineering and intelligent solutions. Due to continued growth, they are looking for a Principal AI Consultant to join the business and play a key role in shaping both client solutions and the wider AI capability. This is a highly consultative position suited to someone who is confident operating in client-facing environments and able to build trust quickly with senior stakeholders. THE BENEFITS Remote working with travel to client sites as required Opportunity to lead and grow a high-performing AI engineering team Exposure to cutting-edge AI technologies, including LLMs and agentic frameworks Work across a broad range of industries and enterprise-scale projects Strong focus on learning, innovation, and career progression Collaborative, people-first culture THE PRINCIPAL AI CONSULTANT ROLE You will act as both a technical leader and trusted advisor, helping clients navigate complex AI initiatives with confidence. This role requires someone who can simplify highly technical concepts, guide conversations with clarity, and create confidence amongst both technical and non-technical stakeholders. You will lead workshops, shape AI strategies, influence delivery decisions, and ensure solutions are scalable, secure, and commercially valuable. Alongside hands-on engineering leadership, you will mentor teams, define best practices, and help grow the wider AI capability. The successful candidate will be someone who naturally puts stakeholders at ease, commands credibility in the room, and thrives in environments where communication and relationship-building are just as important as technical expertise. PRINCIPAL AI CONSULTANT - ESSENTIAL SKILLS Previous experience working within a consultancy or client-facing environment Exceptional communication and stakeholder engagement skills Ability to influence and build trust with senior business and technical stakeholders Proven experience delivering AI solutions into production Strong Python/software engineering background Experience with Azure AI Foundry, Azure ML, Databricks, AWS SageMaker, Bedrock, or similar platforms Strong understanding of MLOps, CI/CD, observability, and production AI delivery Experience leading engineering teams and mentoring technical professionals Ability to lead workshops, shape solutions, and support decision-making in complex environments TO BE CONSIDERED Please either apply through this advert or email me directly via By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Consulting, AI Engineering, Stakeholder Management, Python, Azure AI Foundry, Databricks, MLOps, AWS SageMaker, Bedrock, Machine Learning, Cloud, AI Strategy, Technical Leadership
Senior Software Engineer (AI Products) London Remote-first Greenfield AI Native Product Development Location: London (remote-first - in office 1x a fortnight) Salary: 90,000 - 110,000 Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation of AI native products from day 1. You'll be joining a well established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup. They're looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You'll join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It's an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture. What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part of your workflow Making pragmatic architecture decisions that balance speed with long term maintainability Deploying and operating cloud native applications in production Exploring new models, frameworks and approaches to keep products at the forefront of what's possible What they're looking for Strong software engineering foundations with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join? Opportunity to build greenfield AI native products High trust, low bureaucracy environment Significant ownership and influence over technical direction Strong investment in modern AI tooling and engineering practices Remote-first & flexible environment Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at .
Jun 09, 2026
Full time
Senior Software Engineer (AI Products) London Remote-first Greenfield AI Native Product Development Location: London (remote-first - in office 1x a fortnight) Salary: 90,000 - 110,000 Tech stack: Flexibility with technical background, provided candidate is fluent in modern technologies such as: Python Golang Modern JavaScript frameworks LLMs & AI Agents RAG & AI orchestration frameworks Must have strong AWS experience & high competence with Agentic coding tools This is an opportunity to help shape a new generation of AI native products from day 1. You'll be joining a well established technology company investing heavily in a new generation of AI native products, giving you the opportunity to work on greenfield initiatives without the funding uncertainty, chaos, or risk that often comes with an early stage startup. They're looking for an experienced engineer who has already shipped AI powered systems into production and can operate with a high degree of autonomy. You'll join a small, experienced team where engineers are trusted to make decisions, move quickly, and own problems end to end, without layers of process or constant oversight. It's an adult environment that values outcomes over presenteeism, offers genuine flexibility, and gives engineers significant influence over product direction and architecture. What you'll be doing Building AI powered products and features from concept through to production Designing and developing AI agents that solve real business problems Working closely with product stakeholders to rapidly iterate and deliver value Using agentic development tools as a core part of your workflow Making pragmatic architecture decisions that balance speed with long term maintainability Deploying and operating cloud native applications in production Exploring new models, frameworks and approaches to keep products at the forefront of what's possible What they're looking for Strong software engineering foundations with proven commercial experience working across the stack Experience building and shipping production AI applications or AI agents Hands on experience with LLM APIs, RAG systems, orchestration frameworks, or similar AI technologies Strong architectural instincts and ability to make sound engineering decisions Experience working with AWS cloud infrastructure Why join? Opportunity to build greenfield AI native products High trust, low bureaucracy environment Significant ownership and influence over technical direction Strong investment in modern AI tooling and engineering practices Remote-first & flexible environment Interested and eager to help shape how software is built in an AI first world? Apply to this role or drop me an email at .
Head of Engineering (Retail) London Transformation Leadership Azure / .NET I'm currently supporting a Financial organisation based in Canary Wharf who require a Head of Engineering to lead a large-scale technology and engineering transformation within their Retail business. This is a senior leadership role focused on modernising engineering capability, improving delivery maturity, and evolving engineering practices across a sizeable Microsoft/Azure environment. The role will oversee an engineering function of c.40 people, including Engineering Managers, QA, and Application Support teams, and will play a key role in shaping the future engineering organisation. Key areas of focus include: Leading enterprise-scale engineering transformation Driving modern engineering practices across Azure and .NET platforms Improving engineering governance, delivery, and operational resilience Building and developing high-performing technical leadership teams Supporting the organisation's move towards more AI-first and agentic engineering practices Partnering with senior business and technology stakeholders to drive strategic outcomes We're looking for someone who is already operating at Head of Engineering / Engineering Director level within a complex environment - this is not a step-up opportunity. Ideal background: Strong Microsoft /.NET ecosystem experience Azure cloud transformation experience Enterprise engineering leadership Experience leading managers and multi-team engineering functions Modern DevOps / CI-CD / cloud-native engineering practices Transformation and technical leadership within complex or regulated environments This is an excellent opportunity to join an organisation investing heavily in technology transformation and modern engineering capability! If you'd be interested in hearing more, apply now!
Jun 09, 2026
Full time
Head of Engineering (Retail) London Transformation Leadership Azure / .NET I'm currently supporting a Financial organisation based in Canary Wharf who require a Head of Engineering to lead a large-scale technology and engineering transformation within their Retail business. This is a senior leadership role focused on modernising engineering capability, improving delivery maturity, and evolving engineering practices across a sizeable Microsoft/Azure environment. The role will oversee an engineering function of c.40 people, including Engineering Managers, QA, and Application Support teams, and will play a key role in shaping the future engineering organisation. Key areas of focus include: Leading enterprise-scale engineering transformation Driving modern engineering practices across Azure and .NET platforms Improving engineering governance, delivery, and operational resilience Building and developing high-performing technical leadership teams Supporting the organisation's move towards more AI-first and agentic engineering practices Partnering with senior business and technology stakeholders to drive strategic outcomes We're looking for someone who is already operating at Head of Engineering / Engineering Director level within a complex environment - this is not a step-up opportunity. Ideal background: Strong Microsoft /.NET ecosystem experience Azure cloud transformation experience Enterprise engineering leadership Experience leading managers and multi-team engineering functions Modern DevOps / CI-CD / cloud-native engineering practices Transformation and technical leadership within complex or regulated environments This is an excellent opportunity to join an organisation investing heavily in technology transformation and modern engineering capability! If you'd be interested in hearing more, apply now!
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.
This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. AI Engineer Senior / Lead London (Hybrid) £80,000 - £110,000 + Excellent Benefits The Opportunity A fast-growing, globally recognised AI consultancy is looking for experienced AI Engineers to join its expanding UK team. The business is trusted by leading enterprises to deliver AI into production at scale, working in close partnership with the world's top AI and cloud providers. This is a hands-on engineering role at the intersection of software craftsmanship and cutting-edge AI implementation. You won't be training models. You'll be architecting and building the orchestration layer that makes complex LLM systems reliable, scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code, robust error handling, well-designed APIs, and data pipelines Crafting effective prompts and optimising across latency, cost, and quality dimensions for different model providers Working with clients and internal teams to translate complex requirements into reliable, trusted AI products What We're Looking For Core Requirements Hands-on experience building applications with LLM APIs, with a genuine understanding of their capabilities, limitations, and failure modes Practical experience implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through experimentation while balancing latency, cost, and quality trade-offs Nice to Have Experience with AI-assisted development tooling (e.g. Claude Code, GitHub Copilot) Knowledge of when fine-tuning is preferable to prompt engineering or RAG, with hands-on fine-tuning experience Familiarity with real-time streaming, multimodal models, or search technologies such as Elasticsearch Experience with model observability tools such as LangSmith or Weights & Biases Background in a regulated or specialised vertical (financial services, healthcare, energy, legal, retail), with an understanding of compliance, security, and responsible AI considerations Experience setting up tool-calling agents, handoffs, and guardrails For Principal-Level Candidates Exceptional candidates with a track record of leading end-to-end client engagements, particularly in a consulting context, will also be considered at Principal level. This would suit someone who has owned delivery from initial scoping through to production, and is comfortable leading technical direction alongside client relationships. What's on Offer Salary of £80,000 - £110,000 depending on level and experience Company bonus scheme Personal learning and development budget Choice of equipment, Mac or PC, plus accessories A genuinely collaborative culture where your technical perspective will carry weight from day one Backing and investment to pursue new ideas and grow your career quickly Exposure to cutting-edge AI work across multiple sectors and enterprise clients Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via .
Jun 07, 2026
Full time
This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. AI Engineer Senior / Lead London (Hybrid) £80,000 - £110,000 + Excellent Benefits The Opportunity A fast-growing, globally recognised AI consultancy is looking for experienced AI Engineers to join its expanding UK team. The business is trusted by leading enterprises to deliver AI into production at scale, working in close partnership with the world's top AI and cloud providers. This is a hands-on engineering role at the intersection of software craftsmanship and cutting-edge AI implementation. You won't be training models. You'll be architecting and building the orchestration layer that makes complex LLM systems reliable, scalable, and genuinely useful in production environments. You'll work on some of the most technically demanding AI challenges in industry: multi-agent systems, RAG pipelines, agentic workflows, and robust evaluation frameworks, all at enterprise scale. What You'll Be Doing Designing and building production-grade AI systems that integrate LLMs, RAG pipelines, vector databases, and agentic frameworks Creating evaluation and observability frameworks to measure, monitor, and continuously improve system performance, accuracy, and reliability Implementing and maintaining retrieval systems, including ingestion pipelines, chunking strategies, and advanced techniques such as HyDE Building and owning production AI applications: clean code, robust error handling, well-designed APIs, and data pipelines Crafting effective prompts and optimising across latency, cost, and quality dimensions for different model providers Working with clients and internal teams to translate complex requirements into reliable, trusted AI products What We're Looking For Core Requirements Hands-on experience building applications with LLM APIs, with a genuine understanding of their capabilities, limitations, and failure modes Practical experience implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid grounding in distributed systems, CI/CD, testing frameworks, and deployment pipelines Strong data manipulation skills (pandas, SQL) and familiarity with evaluation strategies for LLM-based systems Comfortable working with ambiguity, able to optimise non-deterministic systems through experimentation while balancing latency, cost, and quality trade-offs Nice to Have Experience with AI-assisted development tooling (e.g. Claude Code, GitHub Copilot) Knowledge of when fine-tuning is preferable to prompt engineering or RAG, with hands-on fine-tuning experience Familiarity with real-time streaming, multimodal models, or search technologies such as Elasticsearch Experience with model observability tools such as LangSmith or Weights & Biases Background in a regulated or specialised vertical (financial services, healthcare, energy, legal, retail), with an understanding of compliance, security, and responsible AI considerations Experience setting up tool-calling agents, handoffs, and guardrails For Principal-Level Candidates Exceptional candidates with a track record of leading end-to-end client engagements, particularly in a consulting context, will also be considered at Principal level. This would suit someone who has owned delivery from initial scoping through to production, and is comfortable leading technical direction alongside client relationships. What's on Offer Salary of £80,000 - £110,000 depending on level and experience Company bonus scheme Personal learning and development budget Choice of equipment, Mac or PC, plus accessories A genuinely collaborative culture where your technical perspective will carry weight from day one Backing and investment to pursue new ideas and grow your career quickly Exposure to cutting-edge AI work across multiple sectors and enterprise clients Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via .
