126 to 150 of 162 Retrieval-Augmented Generation Jobs in the UK

features and capabilities on an enterprise-grade Generative & Agentic AI application. Experience, and hands on, with Generative and Agentic AI patterns including LLM integration, RAG architectures, prompt-driven workflows, and orchestration of AI services and agents. Develop and optimise Python-based AI components including prompt orchestration, output validation, and evaluation … architects, and design teams to ensure reliable operationalisation of AI services. Support benchmarking, evaluation, and experiment tracking for LLM performance and cost. Contribute to RAG implementations and data access patterns supporting enterprise use cases. Help shape API standards, reusable patterns, and documentation for platform adoption. Troubleshoot and optimise performance across ...

solutions. Lead product discovery activities, business case development and value realisation initiatives. Drive prioritisation and delivery of AI use cases including Copilot, AI Agents, RAG, Knowledge Assistants and Intelligent Automation. Collaborate with Data Engineers, AI Engineers, Architects and business teams throughout the product lifecycle. Manage and refine the product backlog … product management practices. Desirable Skills Experience with Microsoft Copilot, GitHub Copilot and Azure AI Foundry. Knowledge of Databricks Mosaic AI and MLflow. Experience delivering RAG, AI Agent and Knowledge Assistant solutions. Background in Management Consulting or Digital Transformation. Experience working across Data Engineering, AI Engineering and Analytics teams. Exposure ...

architects, and SRE teams to ensure reliable operationalisation of GenAI services. Support benchmarking, evaluation, and experiment tracking for LLM performance and cost. Contribute to RAG implementations and data access patterns supporting enterprise use cases. Help shape API standards, reusable patterns, and documentation for platform adoption. Troubleshoot and optimise performance across … experience with GitOps workflows. Prompt redteaming & evaluation tools (like Promptfoo & Arize). Experience with SQL (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases Exposure to RAG patterns and vector search technologies. Behavioural Competencies Proactive self-starter who identifies gaps and drives solutions without waiting for tickets. Comfortable working in ambiguous emerging ...

Power Platform APIs, connectors, identity and permissions Enterprise data integration and governance You should also understand practical Generative AI concepts, including grounding, retrieval-augmented generation, prompt design, hallucination management and secure access to organisational data. Strong stakeholder-management and consulting skills are essential. ...

Machine Learning and Large Language Models Robust programming skills An understanding of one or more of the following: Agentic AI systems and Architecture Graph RAG Traditional RAG Vision Language Models/Computer Vision Audio Processing Experience with Docker, Linux/Unix CLI, Git, and testing. Experience with ...

building production-grade LLM systems used to solve complex knowledge and workflow challenges. This is a hands-on opportunity to work on agentic AI, RAG and evaluation frameworks in a highly technical, fast-moving environment. The Company They are building an AI platform that helps organisations automate complex workflows … they combine startup agility with strong commercial foundations. The Role Build multi-step AI agent workflows using LangGraph, LangChain or similar frameworks Develop production RAG pipelines, embeddings and retrieval systems Design AI evaluation frameworks and testing infrastructure Optimise model performance, reliability, latency and cost Build backend services ...

through to fully engineered AI solutions. Projects can span AI safety and security, edge AI, explainability, robustness in contested environments, agentic AI, LLMs/RAG and multi-modal AI, alongside novel machine learning approaches. This is a hands-on opportunity with exposure across the AI engineering stack and working … complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across LLMs/RAG, agentic AI, multi-modal AI, edge AI, explainability and AI robustness Collaborate with engineers and share technical knowledge Experience Required Strong understanding of AI/ ...

Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. … securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity ...

GenAI and automation to solve business and operational problems. Design, prototype and deploy AI-enabled workflows and agentic solutions using technologies such as LLMs, RAG, LangGraph/LangChain and APIs. Analyse complex workflows, data and processes and translate problems into clear technical solutions. Work closely with Product and Engineering throughout … delivery, AI or a similarly technical environment. Hands-on experience designing, building and deploying AI agents or GenAI solutions. Practical knowledge of agentic AI, RAG, LLMs, APIs and automation, ideally including LangGraph or LangChain. Strong understanding of software development, combined with excellent analytical and problem-solving skills. Comfortable working directly ...

enterprise AI platform across Azure and AWS. Design capabilities for ML training, model hosting, MLOps and Generative AI. Define architecture patterns for LLMs, RAG, vector search and agent-based frameworks. Evaluate AI technologies and select appropriate tooling based on technical, security and cost requirements. Produce architecture blueprints, technical standards, reference … security. Deep understanding of MLOps , model training pipelines, orchestration, feature stores, model hosting and observability. Strong Generative AI architecture experience, including LLM hosting, RAG, vector databases, prompt orchestration and guardrails. Knowledge of AI platform tooling such as Azure ML, Amazon SageMaker, MLflow, Kubeflow and Databricks . Ability to evaluate technologies ...

within complex organisations. - Proven track record in defining architecture and governance across multiple business domains. Technical Skills: - Strong understanding of enterprise search, retrieval-augmented generation, knowledge graphs, and permission-aware access. - Familiarity with Microsoft 365, Azure AI, and Responsible AI principles is desirable. Leadership ...

within complex organisations. - Proven track record in defining architecture and governance across multiple business domains. Technical Skills: - Strong understanding of enterprise search, retrieval-augmented generation, knowledge graphs, and permission-aware access. - Familiarity with Microsoft 365, Azure AI, and Responsible AI principles is desirable. Leadership ...

legal, data protection, risk and responsible AI stakeholders. * Design secure architectures for Microsoft 365 Copilot, Copilot Studio, AI agents, custom AI applications, retrieval-augmented generation, Azure AI services, third-party models and Model Context Protocol integrations. * Own the technical security control catalogue ...

release management and vendor support. Applied AI & Agentic Workflows: Experience building agentic workflows that combine models, tools and business data, including orchestration, retrieval-augmented generation and evaluation. Familiarity with Google ADK or similar frameworks is desirable. API & Data Integration: Strong knowledge of REST APIs ...

real AI products, tackling challenges around retrieval, model performance, accuracy and evaluation. What you'll be working on: Building and improving RAG pipelines, including retrieval strategies, chunking, reranking and grounding. Developing GenAI applications and agentic workflows using tools such as LangChain, LangGraph or similar frameworks. Working … platform teams. What we're looking for: Strong experience with model evaluation, experimentation and fine-tuning. Solid hands-on experience building and deploying RAG and GenAI solutions. Good understanding of LLMs, embeddings, vector databases and retrieval techniques. Experience with Azure AI Foundry would be advantageous. Someone who enjoys ...

that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. This is a newly created role in a rapidly growing business. A brilliant opportunity! The following skills …/experience is essential: Hands-on experience with advanced RAG systems Strong experience with LLM technologies Agentic AI experience Software Engineering background Good communication skills Salary: Up to £95,000 + bonus + package Location: London (good work from home options available) If you are interested in this Senior ...

Identify and deliver AI opportunities across client services, professional delivery, internal operations, knowledge management and commercial growth. Work with Generative AI, LLMs, Machine Learning, RAG, vector search and knowledge graphs. Build and lead a cross-functional AI team, bringing together engineers and professional subject matter experts. Establish practical AI governance … opportunities into measurable client and commercial outcomes. About you Strong hands-on experience taking Machine Learning and Generative AI solutions into production, including RAG architectures. Deep technical knowledge of LLMs, NLP, Python, SQL and frameworks such as PyTorch or TensorFlow. A solid understanding of MLOps, DevOps, CI/ ...

solutions for client projects. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...

prototype to production, solving complex business challenges through LLMs, autonomous agents and intelligent automation. Key Responsibilities Build and deploy single and multi-agent systems, RAG pipelines and AI-powered workflows. Work with leading AI platforms and frameworks, including OpenAI, Anthropic, Google, Microsoft and LangGraph. Integrate AI solutions with enterprise APIs … years of software engineering experience in Python, TypeScript, Java or similar languages. Hands-on experience building LLM-powered applications and AI agents. Understanding of RAG, tool-calling, agent orchestration and multi-agent workflows. Experience with APIs, databases, cloud platforms and enterprise integrations. Strong debugging, testing and problem-solving skills. Comfortable ...

real client data during Assess engagements - the prototype is the discovery tool, built while the value case is made Delivering client POCs and MVPs: RAG pipelines, agent architectures, LLM integrations and protocol-driven tooling (MCP, tool orchestration) Iterating in short loops: demoing every few days, taking feedback, changing course without … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...

commercial models such as licensing, entitlement, packaging or pricing is an advantage Familiarity with how AI applications consume content, for example retrieval-augmented generation, agents, or text and data mining, is a plus Superb verbal, written, and interpersonal communication skills and a demonstrated ability ...

SageMaker, alongside S3, IAM and Lambda. Assess commercial APIs, hosted models and open-weight alternatives against capability, cost, latency and data controls. Build RAG pipelines, covering retrieval, chunking, embeddings, grounding and citations. Develop document ingestion and extraction pipelines across PDFs, Office documents, images and tables. Build evaluation frameworks … into production. Strong hands-on experience deploying AI/ML workloads on AWS. Amazon Bedrock experience would be a significant advantage. Practical experience with RAG, embeddings and processing unstructured data. Confidence designing for security, privacy, tenant isolation and auditability. The ability to lead through technical expertise, explain trade-offs clearly ...

teams deploy to production daily and take ownership of the products they build throughout their lifecycle. The organisation is investing heavily in next-generation product capabilities, particularly around AI-driven development and Agentic AI. As a result, you'll have the opportunity to influence how modern AI technologies … data, microservices environment. Experience delivering Agentic AI capabilities is also essential. This could include AI agents, autonomous workflows, LLM-powered applications, orchestration frameworks, RAG implementations or similar AI-driven product functionality. Strong stakeholder engagement skills are also important, as you'll regularly work with Product teams, engineering leadership and business ...

solutions for client projects. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...

solutions for client projects. What You'll Be Doing Contributing to the development of our internal AI platform Building AI-powered client solutions: RAG pipelines, agent architectures, LLM integrations, protocol-driven tooling Helping design internal AI tooling to accelerate delivery Supporting our upskilling programme with technical AI knowledge-sharing Keeping … production mindset) Hands-on experience with LLMs - this can come from personal projects, not just professional work (API integrations, prompt engineering, agent workflows, RAG systems) Proficiency in 2+ modern programming languages Awareness of evolving AI tooling (MCP, A2A, or similar) Some consultancy or client-facing experience, or a strong interest ...