51 to 75 of 79 Retrieval-Augmented Generation Jobs in the UK excluding London

cloud services (compute, storage, networking, security). Desirable Exposure to applying AI/ML techniques to business problems. Exposure to GenAI, LLMs, RAG or agent-based workflows. Experience using AI-assisted development tooling (e.g. GitHub Copilot, Cursor) to accelerate delivery. Experience working in an agile environment. Experience in financial services … such as Streamlit or ReactJS. Awareness of the AI/ML model lifecycle, training data, evaluation, tuning, monitoring. Awareness of GenAI concepts, prompting, embeddings, RAG, vector databases. Knowledge of Snowflake specifically, and its integration patterns on AWS. Awareness of enterprise architecture, security and regulatory considerations in financial services. Disability Confident ...

Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector stores, embeddings, tool ...

Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector stores, embeddings, tool ...

closely with engineers to translate validated approaches into scalable, customer-facing solutions. Key Responsibilities: Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies, patent search). Define agentic workflows and reasoning strategies for multi-step IP tasks. Develop retrieval strategies, including hybrid search (semantic … Strong experience designing and running experiments, including model evaluation and iteration. Strong coding skills in Python. Experience with generative AI techniques (e.g., prompt engineering, RAG). Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases. Experience designing agentic workflows and reasoning strategies, with hands ...

support critical decision-making processes. The Role Build and deploy agentic AI workflows using tools such as LangGraph and LangChain. Design and optimise RAG pipelines, including vector search, embeddings, and retrieval strategies. Develop LLM-powered applications for document intelligence, classification, extraction, and reasoning. Create evaluation frameworks and observability … building and deploying LLM, generative AI, or machine learning systems in production. Expertise with LangGraph, LangChain, or similar orchestration frameworks. Experience designing and improving RAG architectures and vector database solutions. Knowledge of AI evaluation, observability, and cloud-based software engineering best practices. How to Apply ...

work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company's biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition … Microsoft cloud environment. 2+ delivering complex enterprise production GenAI and agentic solutions on Microsoft technologies such as Azure OpenAI, Azure AI Foundry, Copilot Studio, RAG, and evaluation workflows. Strong Azure engineering background, including Azure Functions, App Services, AKS, API Management, Entra, CI/CD, monitoring, and production support. 10+ years ...

work, and the opportunity to better health worldwide, together. Our Team, Your Impact DADAI (Data, Analytics, Digital & AI Delivery) is building a next generation enterprise delivery engine that turns the company's biggest opportunities into measurable outcomes using data products, digital automation and applied AI. The ambition … Microsoft cloud environment. 2+ delivering complex enterprise production GenAI and agentic solutions on Microsoft technologies such as Azure OpenAI, Azure AI Foundry, Copilot Studio, RAG, and evaluation workflows. Strong Azure engineering background, including Azure Functions, App Services, AKS, API Management, Entra, CI/CD, monitoring, and production support. 10+ years ...

across products, services and internal operations to improve customer value, automation and decision-making. Explore and apply emerging technologies including generative AI, LLMs, RAG, Agentic AI, predictive analytics, graph intelligence, recommendation systems and semantic search. Turn ideas into prototypes and MVPs, validate them with users and stakeholders, and scale successful … solutions, not just experimentation or proof of concepts. Strong hands-on experience with generative AI, LLMs and AI application architectures, including RAG, prompt engineering, agents and model evaluation. Deep understanding of modern data engineering, data platforms and MLOps. Strong cloud experience across Azure with experience building scalable, cloud-native solutions. ...

across Artificial Intelligence and Machine Learning. We are open to candidates with different areas of expertise, including Machine Learning, Applied AI, Generative AI, LLMs, RAG and Agentic AI. Key Responsibilities Design and develop AI/ML solutions from early-stage concepts through to production. Develop, evaluate and integrate AI/… models and applications. Work across modern AI technologies including LLMs, RAG, NLP, Computer Vision and agent-based systems. Assess model performance, investigate failure modes and optimise solutions. Develop robust, high-quality Python software for technically complex applications. Work closely with experienced engineers, technical specialists and customers to solve challenging real ...

world's most trusted patent data with sophisticated analytics, AI-powered insights, and purpose-built workflows. Protégé in PatentSight is LNIP's next-generation agentic AI assistant, purpose-built for strategic patent analysis. Protégé replaces complex filter-based workflows with natural language questions, surfacing structured, decision-ready insights … with experience in a dedicated AI/ML architecture, principal engineer, or distinguished engineer role. Proven track record delivering production LLM-based systems, including RAG pipelines, agentic/tool-use frameworks, and multi-step reasoning workflows. Strong proficiency in Python for AI service development; working knowledge of C# or equivalent ...

days per week Were partnering with an established global technology business looking for a highly experienced Software Engineer to help shape the next generation of a major SaaS platform. This is for someone who still wants to engineer . Not a people-management position disguised as a technical … forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However, we're far more interested in engineering principles, judgement and learning ability than ...

.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL Leveraged AI-assistive development tools for tasks like scaffolding, refactoring, debugging, test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics … platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure as Code Building a truly diverse, equitable ...

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/ ...

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 ...

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 ...

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 ...

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 ...

engagement faster than the last. 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 … 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 ...

Digital & AI capability Design, develop and deliver AI-powered applications and automation solutions Build and integrate solutions using LLMs, AI agents and RAG architectures Define development standards, engineering frameworks and best practices Provide technical governance to support safe and scalable AI adoption Mentor developers and support technically focused citizen developers … Node.js, Next.js or similar frameworks AWS cloud experience Experience building AI-enabled applications or automation solutions Knowledge of LLMs, prompt engineering, AI agents or RAG architectures Strong understanding of software architecture and engineering best practice Experience mentoring engineers and influencing technical direction Excellent communication skills with both technical ...