126 to 150 of 246 Retrieval-Augmented Generation Jobs in the UK

LLM-Augmented Software Generation and Transformation – Senior Researcher Slough (UK) Our purpose is to make the world more sustainable. Fujitsu’s Research and Development (R&D) is at the forefront of Fujitsu's sustainability transformation strategy, conducting cutting-edge research to tackle social challenges and improve our future world. Your role will involve Conducting research and … development in automated software engineering, including but not limited to code representation for LLM, automatic program repair, generative AI for test generation, next-generation user interface for AI coding agents, and architecture for AI coding agents. Providing technical leadership and collaborating with Fujitsu Global R&D teams to develop novel software development technologies in the generative … tier conferences and journals. A passion for software engineering with the ability to write clean code. Proven expertise in machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as More ❯

re looking for a software engineer who can design, build, and deploy AI systems end-to-end — especially those involving retrieval-augmented generation (RAG) , embeddings, and LLM orchestration. This is a hands-on role with real impact and ownership. 🔍 What You'll Work On Architect and implement RAG pipelines that combine vector search, custom … embedding models, vector DBs (e.g., FAISS, Weaviate, Qdrant), and retrieval logic Strong Python engineering skills — you write clean, production-ready code with tests Experience building and evaluating RAG pipelines in a real-world setting Familiarity with LLM evaluation techniques — you don’t deploy until you’ve tested against real metrics Solid understanding of modern cloud infrastructure (e.g., Docker More ❯

re looking for a software engineer who can design, build, and deploy AI systems end-to-end — especially those involving retrieval-augmented generation (RAG) , embeddings, and LLM orchestration. This is a hands-on role with real impact and ownership. 🔍 What You'll Work On Architect and implement RAG pipelines that combine vector search, custom … embedding models, vector DBs (e.g., FAISS, Weaviate, Qdrant), and retrieval logic Strong Python engineering skills — you write clean, production-ready code with tests Experience building and evaluating RAG pipelines in a real-world setting Familiarity with LLM evaluation techniques — you don’t deploy until you’ve tested against real metrics Solid understanding of modern cloud infrastructure (e.g., Docker More ❯

systems (retrieval, memory modeling, task orchestration) Integrate structured and unstructured knowledge from multiple modalities (text, image, video) into agent workflows Develop solutions coupling retrieval (KGs, RAG, databases) with planning, reasoning, and execution logic Collaborate with engineering teams on LLM platforms, search infrastructure, and agent systems Translate research into production-ready applications across AI development tools, QA … skills Experience working across research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/ More ❯

solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and … varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA … Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply More ❯

solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and … varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA … Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply More ❯

solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and … varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA … Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply More ❯

solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and … varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA … Milvus, ChromaDB, or OpenSearch. Required skills & experience: 3-5+ years in machine learning and software development Proficient in Python, PyTorch or TensorFlow or Hugging Face Transformers Experience with RAG, LLM fine-tuning, and expertise in AWS and cloud-native AI deployments. Full-stack experience (React, TypeScript, Node.js) and API development. Familiarity with vector search and multi-agent orchestration Apply More ❯

Mid-Level AI Engineer | AI-Driven Digital Transformation Salary: Up to £75,000 plus benefits Technology: Python, Microservices, CI/CD, AI/ML, LLM or RAG Location: Hybrid/London (onsite twice a week) Multiple Vacancies An innovative, fast-growing company transforming digital client experiences through intelligent technology is seeking a number of Mid-Level AI Engineers to join … Python programming skills with backend development experience Interest or hands-on exposure to AI/ML concepts, particularly LLMs and Retrieval-Augmented Generation (RAG) Experience working with AWS or similar cloud platforms Understanding of microservices architecture and distributed systems Familiarity with container tools such as Docker and Kubernetes Experience with CI/CD tools More ❯

Mid-Level AI Engineer | AI-Driven Digital Transformation Salary: Up to £75,000 plus benefits Technology: Python, Microservices, CI/CD, AI/ML, LLM or RAG Location: Hybrid/London (onsite twice a week) Multiple Vacancies An innovative, fast-growing company transforming digital client experiences through intelligent technology is seeking a number of Mid-Level AI Engineers to join … Python programming skills with backend development experience Interest or hands-on exposure to AI/ML concepts, particularly LLMs and Retrieval-Augmented Generation (RAG) Experience working with AWS or similar cloud platforms Understanding of microservices architecture and distributed systems Familiarity with container tools such as Docker and Kubernetes Experience with CI/CD tools More ❯

ll do: Contribute to the development of DDX — design, build, and scale intelligent systems Work on AI-driven features: LLMs, retrieval-augmented generation (RAG), and AI agents Build APIs, data pipelines, and backend components (mainly Python, FastAPI/Flask) Deploy microservice-friendly solutions, often in containerised setups (e.g. Docker) Work with ElasticSearch, Weaviate, Pinecone More ❯

are: Experience delivering Large Language Model projects with customers, including LLM API integration, up-to-speed knowledge of foundation models, SFT (Supervised Fine-Tuning), prompt engineering, RAG (Retrieval-augmented generation) and/or measuring AI accuracy. Two years + experience in solutions architecture or integrating multiple applications/data streams, or ML development within More ❯

and task orchestration. Drive the development of memory capabilities for intelligent agents, integrating structured and unstructured knowledge from multiple modalities. Architect solutions that deeply couple retrieval systems (RAG, KGs, databases) with agent planning, reasoning, and execution workflows. Work closely with LLM platforms, search infrastructure, and knowledge graph systems to build collaborative end-to-end agent solutions. Translate cutting More ❯

You Be Doing Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies. Harness the power of ELSER: Enable organizations to achieve unparalleled accuracy and efficiency in their search queries and data retrieval processes, leveraging … the forefront of innovation. What You Bring 8+ years of experience in designing and architecting enterprise-levelsolutions. An understanding of AI and semantic search technologies, with a focus on RAG, vector search, and NLP. Experience with vector databases and other emerging data storage solutions. Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think More ❯

You Be Doing Architect next-generation search solutions: Design and implement cutting-edge solutions utilizing Elastic's latest advancements in AI, semantic search, and vector search, including RAG, vector databases, and other emerging technologies. Harness the power of our Observability products: Enable key government departments to achieve unparalleled accuracy and efficiency in their search queries and data retrieval … Bring 8+ years of experience in designing and architecting enterprise-levelsolutions into the Public Sector . An understanding of Observability,AI and semantic search technologies, with a focus on RAG, vector search, and NLP. Experience with vector databases and other emerging data storage solutions. Excellent communication and presentation skills, able to engage both technical and non-technical audiences. We think More ❯

and accessibility tools. Comprehensive knowledge of Semantic Web technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Comprehensive knowledge of RAG and GraphRag systems and architecture. Experience building ontologies in the e-commerce and semantic search spaces. Knowledge Graph and RAG -AI Architecture. Desirable: Experience with OCR, Image captioning, object detection More ❯

London) One of the UK’s most technically ambitious GenAI startups is hiring an AI Software Engineer to join their core team building the brains behind a next-generation enterprise platform. Backed by $15M in Series A funding from top-tier VCs (early investors in Deliveroo and GoCardless), this company is automating the development of custom software using … through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked university 3+ years of Python experience and exposure to Go and More ❯

London) One of the UK’s most technically ambitious GenAI startups is hiring an AI Software Engineer to join their core team building the brains behind a next-generation enterprise platform. Backed by $15M in Series A funding from top-tier VCs (early investors in Deliveroo and GoCardless), this company is automating the development of custom software using … through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked university 3+ years of Python experience and exposure to Go and More ❯

is at the forefront of innovative AI-powered applications, large-scale infrastructure, and modern backend development using Java, Python, Golang, Spring Boot, Flask, and Kubernetes. We focus on integrating RAG-powered LLMs, implementing advanced vector search (FAISS, Milvus, Pinecone), and building scalable and high-performance AI-driven solutions. You Might Be a Good Fit If You: Have deep hands-on … results-driven, flexible environment Have experience with backend development for AI-powered systems Enjoy building high-performance APIs using Spring Boot, Flask Want to develop AI-powered applications leveraging RAG frameworks, Vector and Similarity search Have experience with Maven or Gradle for Java project dependency management Understand security best practices (Spring Security, SSO, authentication protocols) Are comfortable working with Kubernetes More ❯

serve humanity. We're training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI. We obsess over what we build. Each one of us is responsible for contributing to More ❯

html Experience and Expertise Strong experience in GenAI, RAG and Agentic architectures, including popular frameworks like LangChain and LiteLLM. Expertise in Python, JavaScript, or Rust, coupled with experience deploying applications through frameworks such as FastAPI, Django, or React, within containerized environments using Docker and Kubernetes. Familiarity with DevOps and CI/CD pipelines, version control (Git). More ❯

Engineers to help build two new football-focused chatbots for betting audiences. Youll be responsible for designing, building, and deploying AI-powered conversational agents using LangGraph, OpenAI functions, and RAG techniques. This is a hands-on engineering role where you get to ship real-time chatbots that deliver dynamic, contextual betting insights to end users. Responsibilities: Build conversational AI flows … using LangGraph and OpenAI function-calling Integrate live sports data, betting odds, and user context into dynamic responses Implement memory handling, tool usage, and RAG pipelines Collaborate on system design, prompt tuning, and architecture decisions Optimize performance for speed, stability, and user satisfaction Skills & Experience: Proven experience with LangChain or LangGraph Strong Python skills and experience working with LLMs Familiarity … with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time APIs and data integration (e.g., live sports feeds, betting odds) Understanding of prompt engineering, token limits, and response tuning Bonus: Experience in sports analytics, fantasy sports, or betting applications About us: At Peregrine, we see beyond the immediate and look to the horizon. We build lasting More ❯

to help build two new football-focused chatbots for betting audiences. You’ll be responsible for designing, building, and deploying AI-powered conversational agents using LangGraph, OpenAI functions, and RAG techniques. This is a hands-on engineering role where you get to ship real-time chatbots that deliver dynamic, contextual betting insights to end users. Responsibilities: Build conversational AI flows … using LangGraph and OpenAI function-calling Integrate live sports data, betting odds, and user context into dynamic responses Implement memory handling, tool usage, and RAG pipelines Collaborate on system design, prompt tuning, and architecture decisions Optimize performance for speed, stability, and user satisfaction Skills & Experience: Proven experience with LangChain or LangGraph Strong Python skills and experience working with LLMs Familiarity … with RAG pipelines Experience building chatbots or agent-based systems Knowledge of real-time APIs and data integration (e.g., live sports feeds, betting odds) Understanding of prompt engineering, token limits, and response tuning Bonus: Experience in sports analytics, fantasy sports, or betting applications About us: At Peregrine, we see beyond the immediate and look to the horizon. We build lasting More ❯

ll take the lead in shaping end-to-end Azure AI architectures, from discovery and PoCs through to delivery and optimisation. You'll work directly with enterprise clients, defining RAG systems, Agentic AI solutions, knowledge base integrations, and driving forward both client success and internal AI accelerators. Key Responsibilities: Design scalable, secure Azure AI architectures tailored to client needs. Work … closely with customer business and technical stakeholders. Define and deliver solutions involving RAG systems, Agentic AI, knowledge bases, and MCP integrations. Lead pre-sales engagements including PoCs, workshops, and stakeholder briefings. Collaborate with engineers, analysts, and scientists to guide delivery. Ensure best practice in responsible AI, data management, and security. Monitor performance and optimise ongoing AI solutions. Contribute to internal More ❯

Founding Engineer Location: Hybrid (2–3 days/week in London office) I am representing a fast-moving, mission-driven start up building an AI-powered clinical knowledge platform. What You’ll Do: Build and scale backend services (Python/ More ❯