126 to 150 of 210 Retrieval-Augmented Generation Jobs in England

LLMs (Codex, ChatGPT, Claude, etc.) into the dev lifecycle Apply AI to requirements, design, coding, QA, CI/CD, and monitoring Optimize internal AI toolchains with platform team (OpenWebUI, RAG, etc.) Drive Salesforce Revenue Cloud automation: pricing, CPQ, billing Automate contracts, provisioning, onboarding, and payment flows Define and own subscription models, trials, usage-based billing, and provisioning logic Align engineering More ❯

a founder or founding engineer - you know what it means to balance craft, ownership, and speed Familiarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineering Prior experience with React, TypeScript, and/or Go Previous roles where you interfaced with customers or led technical projects with external stakeholders Our values Trust More ❯

use cases Site search solutions (e.g. Yext, Algolia, Elasticearch) Headless CMS/DXP platforms (Contentful, Sitecore, AEM etc) REST/GraphQL APIs Modern Web Development & Accessibility Analytics platforms LLMs, RAG, and Graph Database concepts You must be a natural storyteller who simplifies complexity, engages executives, and builds trust quickly. You have an ability to develop business cases that communicate requirements More ❯

use cases Site search solutions (e.g. Yext, Algolia, Elasticearch) Headless CMS/DXP platforms (Contentful, Sitecore, AEM etc) REST/GraphQL APIs Modern Web Development & Accessibility Analytics platforms LLMs, RAG, and Graph Database concepts You must be a natural storyteller who simplifies complexity, engages executives, and builds trust quickly. You have an ability to develop business cases that communicate requirements More ❯

Weve spent 30+ years empowering over 2,200 independent travel entrepreneurs across the globe. Now, with an award-winning culture and explosive digital growth, were building the next-generation AI capabilities that will revolutionise our personal travel platform, Phenix. Were not here to follow trends. Were here to set them. This is your chance to be at the … Own key backend services: Use .NET Core/C# to build scalable APIs and services that connect human intent with machine intelligence. Build RAG-powered workflows : Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights. Collaborate across disciplines: Work hand-in-hand with product designers, data … and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas More ❯

spent 30+ years empowering over 2,200 independent travel entrepreneurs across the globe. Now, with an award-winning culture and explosive digital growth, we’re building the next-generation AI capabilities that will revolutionise our personal travel platform, Phenix. We’re not here to follow trends. We’re here to set them. This is your chance to be … Own key backend services: Use .NET Core/C# to build scalable APIs and services that connect human intent with machine intelligence. Build RAG-powered workflows : Leverage retrieval-augmented generation, context-aware orchestration (MCP), and internal datasets to generate real-time, contextual insights. Collaborate across disciplines: Work hand-in-hand with product designers, data … and beverages Requirements Proven experience in .NET Core/C# and modern web frameworks like Angular/TypeScript Hands-on experience with LLM APIs (OpenAI, Claude, Bedrock), LangChain, or RAG-based architectures Deep familiarity with API design, microservices, and cloud-first development (AWS, Azure, or GCP) Experience building systems with MongoDB, SQL, or vector databases like Pinecone or MongoDB Atlas More ❯

quality and stability Familiarity with Agile/Scrum methodologies Hands on with Einstein GPT, Prompt Builder/Prompt Studio Practical knowledge of prompt engineering, retrieval augmented generation (RAG) and grounding GenAI on CRM data Soft Skills A proactive attitude towards platform enhancements Strong problem solving and analytical skills Excellent communication and teamwork abilities Ability More ❯

backend engineering , ideally with Go and ML frameworks like PyTorch or TensorFlow Familiarity with MLOps , cloud infrastructure (AWS) , Kubernetes , and Terraform Experience evaluating and deploying models (including anomaly detection, RAG, and clustering) in noisy, evolving data environments Nice to Have: Experience with Perl Knowledge of threat intelligence integration and MCP architectures Location: Remote Salary: Up to £120,000 , depending on More ❯

be a keen experimenter with LLMs, utilising the skills and knowledge you have in software engineering for LLM based personal projects. Key topics of interest would be agentic systems, RAG, Langchain or automated workflows. You'll have experience using modern Python for scalable and extendible code development (and probably experience with other modern mainstream coding technologies such as Go or More ❯

priorities Some experience working with Kubernetes Experience working with large volumes of data It would be a plus if you also have experience in: LLM experience, such as building RAG-models and prompt engineering and familiarity with the main foundation models on the market Some front-end experience W hat you'll be doing Kernel provides customization at scale, which More ❯

AWS (boto3, Bedrock, Sagemaker, Lambda, S3, EC2) Azure (azure Open AI service, Cosmos DB) Python Langgraph Neo4j/cypher Other coding languages/frameworks e.g. Java/.Net AI RAG (retrieval augmented generation) Graph RAG Few shot detection Embedding models/LLMs - how they work, how they are trained Other Requirements SC clearedor More ❯

standards are met. Implement best practices for MLOps, including CI/CD, automated testing, model versioning, and data validation. Architect integrations with vector databases, cloud platforms, and retrieval-augmented generation systems. Qualifications: 3+ years of experience delivering full-stack AI/ML applications in production. Proficiency in Python, especially with ML libraries such as More ❯

direction with experimentation velocity, cost-efficiency, and user impact Design and lead building ML services are modular, testable, and monitored from day one Contribute to LLM platform capabilities, including RAG pipelines, latency-optimized inference, and prompt experimentation frameworks What were looking for 8+ years of engineering experience in large-scale Data/ML platforms, with proven ability to architect and More ❯

direction with experimentation velocity, cost-efficiency, and user impact Design and lead building ML services are modular, testable, and monitored from day one Contribute to LLM platform capabilities, including RAG pipelines, latency-optimized inference, and prompt experimentation frameworks What were looking for 8+ years of engineering experience in large-scale Data/ML platforms, with proven ability to architect and More ❯

with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production, ensuring scalability and compliance Develop robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and data privacy controls across all AI workflows (e.g., encryption, anonymisation, access logging) Collaborate with the CISO function on threat modeling … Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and contextual integrity Familiarity with EU AI Act, FCA cybersecurity principles, and oversight of critical systems Worked directly with cybersecurity and compliance teams in regulated … LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms More ❯

with the bank's cybersecurity and regulatory standards. Accountabilities & Responsibilities Architect and implement secure AI services from lab to production, ensuring scalability and compliance Develop robust APIs for LLMs, RAG pipelines, agentic workflows and document intelligence systems Embed cybersecurity and data privacy controls across all AI workflows (e.g., encryption, anonymisation, access logging) Collaborate with the CISO function on threat modeling … Built agentic workflows using modular LLM agents with memory, planning, and tool integration Implemented Model Context Protocol (MCP) to manage secure, auditable context injection across agentic systems Experience building RAG pipelines with strict data governance and contextual integrity Familiarity with EU AI Act, FCA cybersecurity principles, and oversight of critical systems Worked directly with cybersecurity and compliance teams in regulated … LLM Fine-tuning and prompt engineering for LLMs (e.g., GPT, Gemini, Claude) Secure deployment of LLMs via APIs with input/output filtering and logging Integration of LLMs into RAG pipelines, document intelligence, and agentic workflows Use of vector databases (e.g., FAISS, Pinecone, Chroma) for semantic search and retrieval Implementation of grounding, context injection, and response validation mechanisms More ❯

Architect Contract London 5 Months+ Role Description: Design and evolve enterprise-grade data and AI architectures using Databricks and Azure. Perform GenAI architecture uplift, including LLMOps, agentic frameworks, and RAG-based patterns. Evaluate and evolve data science and platform reference architectures, ensuring strategic alignment. Collaborate with global stakeholders across EO, NAO, and AusPac. Drive architectural governance and technical evaluations to More ❯

and wants to shape how AI is used in the physical world. 🧠 You’ll need: 2+ years' engineering experience with a builder’s mindset Hands-on with LLMs — LangChain, RAG, agents, fine-tuning, etc. Infra knowledge (cloud, containers, relational/graph DBs) Bonus: startup/founder experience 🔧 You’ll be doing: Shipping to prod from Day 1 Building end-to More ❯

postmortems, and drive execution discipline Drive AI transformation by integrating LLMs (Codex, ChatGPT, Claude, Cursor, OpenRouter) across the SDLC Partner with platform teams to scale internal AI infrastructure (OpenWebUI, RAG, LLM gateways) Collaborate with SaaS leadership and Salesforce vendors to automate pricing, CPQ, billing, contracts, payments, and provisioning Define and maintain pricing models, subscription plans, usage-based billing, and discounting More ❯

is an open-source, high-performance vector database and similarity search engine, designed to power AI-driven applications. Our technology helps developers build state-of-the-art semantic search, RAG, recommendation systems, and large-scale AI solutions. We are growing our DevRel team and looking for passionate individuals to help shape the future of vector search technology. Tasks As a More ❯

with secure inter-process communication Familiar with Peer-to-Peer technologies (Kademlia, bittorent, libp2p) C Swift/Kotlin skills are a plus Familiar with AI/Agentic domain applications (RAG, AI SDKs) Familiarity with real-time data delivery (NodeJS/other streaming More ❯

Nice to have Familiar with Peer-to-Peer technologies (Kademlia, bittorent, libp2p) Comfortable with high-availability concepts Rust or C++ skills are a plus Familiar with AI domain applications (RAG, Agents, Inference, AI SDKs) Familiarity with real-time data delivery (NodeJS/other streaming More ❯

articulate problems and construct solutions. BCS Practitioner Certificate in Enterprise and Solutions Architecture BS in Information Systems, Engineering, or related field Foundational understanding of AI concepts, including prompt engineering, RAG, and LLMs Enterprise Architecture best practices and tools (e.g., LeanIX) Experience working in a startup environment or similar Knowledge of Construction technologies and products, such as BIM, data collection apps More ❯

like ChatGPT, Cursor, or Windsurf. You can show how prompt tweaks changed an LLM's output to match a specific product need. Nice-to-Haves LangChain, LlamaIndex, or any RAG experiment on your GitHub. Vector database dabbling (pgvector, Pinecone). A side project people outside your family have used. Our Stack React 18 Next.js Node 20 FastAPI OpenAI & Anthropic APIs More ❯

function Comfort working in a fast-moving, ambiguous environment An eye for quality and a bias toward shipping Bonus: experience in building AI-powered tools or creative applications (e.g. RAG systems, assistants, agents, etc.) This Team You'll join a cross-functional crew under AI & Services, one of Nothing's most forward-looking divisions. It's where we explore and More ❯