76 to 93 of 93 Retrieval-Augmented Generation Jobs in the UK excluding London

Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps ...

Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures (LangGraph, SmolAgents, PydanticAI) Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications. GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps ...

120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation of virtual sales assistants … Engineers while remaining hands-on in shaping and delivering cutting-edge AI products. This business is solving real customer problems with Agentic AI, optimised RAG pipelines and state-of-the-art GenAI approaches, and they need a senior AI leader to take ownership of strategy, execution and impact.Joining ...

through cutting edge technology, AI and data driven solutions. This is an exciting opportunity to join a growing team focused on building next generation GenAI applications and scalable full stack solutions. The Role As a GenAI Full Stack Engineer, you will play a key role in designing, building … LangChain, LangGraph or CrewAI Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral Exposure to Retrieval Augmented Generation or AI agents is beneficial Experience with AWS or Azure Docker and containerisation experience, Kubernetes beneficial Experience with CI CD pipelines using ...

work to the wider development team. Demonstrable knowledge and experience in data mining, machine learning (including deep learning), generative AI (e.g., with Retrieval-Augmented Generation), and reinforcement learning. Software Development & Delivery Design, develop, test and maintain software applications using Java (8+), XSLT, XML, JSON ...

Agentic Engineer (MedTech) We’re partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical … experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version ...

Agentic Engineer (MedTech) Were partnering with an innovative MedTech company in North of England that is building next-generation intelligent healthcare solutions. They are now looking for an number of AI Agentic Engineer to help design, build, and deploy autonomous AI systems that will directly support clinical … experience include: Strong Python development experience Hands-on experience with LLMs and agent frameworks (e.g. LangChain, LlamaIndex, AutoGen or similar) Understanding of prompt engineering, RAG pipelines, and tool-using AI systems Experience working with APIs, data pipelines, and cloud platforms (AWS, Azure or GCP) Strong software engineering fundamentals (testing, version ...

deployment. Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life. Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact. Work with large-scale datasets in cloud environments to deliver robust, scalable systems. Contribute … end. Proficiency in Python and SQL, with experience working on cloud-scale datasets. Practical experience with LLMs and applied AI, such as RAG, agents, or NLP. Experience building customer-facing or product-centric ML systems. A product-focused mindset, balancing experimentation with real-world value. Useful additional experience includes ...

/B experiments and performance dashboards. • Integrate AI agent functionality with applications through MCP servers and reliable tool configurations. • Develop secure and scalable RAG pipelines, including ingestion, text processing, metadata handling and vector search in GCP. • Embed security, compliance, GDPR controls and best‐practice engineering with clear documentation and stakeholder … Strong Python skills for backend services, SDKs, API development, authentication and testing. • Hands‐on experience working with LLMs, embeddings, prompt engineering, tool calling and RAG design. • Practical knowledge of GCP services including Vertex AI, Model Garden, BigQuery, Cloud Run and Google’s ADK. • Experience with document and data processing using ...

What You’ll Be Doing: Design and deliver full-stack, cloud-native AI applications across front end, APIs, and data layers Build and deploy RAG-based and agent-driven AI systems using secure, governed data sources Develop scalable services on Azure, integrating with enterprise platforms and data pipelines Implement MLOps … standards Main Skills Needed: Strong full stack engineering experience (React/TypeScript, Python, FastAPI, or Node.js) Proven experience building AI/ML systems, particularly RAG or agent-based architectures Solid Azure expertise (Azure ML, Azure OpenAI, Functions, AKS, CI/CD pipelines) Data engineering knowledge including pipelines, schema design ...

detection, and optimisation. The Role * Deliver full lifecycle AI and ML projects from prototype to production. * Build applied AI workflows including LLMs, NLP, and RAG-based solutions. * Work with large and messy tabular datasets to create high-impact models. * Develop classification and optimisation approaches to enhance customer outcomes. * Partner with … ecosystem. Your Skills and Experience * Strong commercial experience deploying AI and ML systems into production. * Hands-on experience with LLMs, NLP, or retrieval-augmented workflows. * Confident working with large-scale tabular datasets and complex data environments. * Cloud experience, ideally AWS, plus familiarity with MLOps practices. * Background ...

Experience Strong commercial experience using Python in applied AI or machine learning contexts Proven delivery of end-to-end AI solutions such as RAG systems, LLM-powered applications, or agent-based workflows Experience working closely with clients or end users, translating real requirements into technical solutions Solid software engineering fundamentals … including maintainable code, testing, and collaboration with engineering teams Practical knowledge of prompt engineering, RAG pipelines, agent workflows, and model evaluation Familiarity with modern GenAI tooling such as LangChain, LangGraph, or similar frameworks Motivation to work in a startup environment, with comfort around ambiguity, pace, and ownership What They Offer ...

enterprise-grade AI capabilities. What Youll Be Doing Designing and building Copilot solutions, intelligent agents, and LLM workflows Developing scalable AI components including RAG pipelines, embeddings, and vector search Integrating AI solutions into enterprise systems, APIs, and cloud platforms Conducting rapid prototyping to validate use cases, UX, and model performance … Essential Skills for the AI product developer Proven experience building solutions using LLMs, AI APIs, and Copilot Studio or similar tools Strong understanding of RAG architectures, vector databases, and embeddings Experience with Azure AI and cloud-native development Solid knowledge of secure engineering practices including authentication, data protection, and auditability ...

team of engineers. Key Responsibilities Lead the development and deployment of AI-powered tools to improve efficiency and productivity Design advanced solutions including automation, RAG, and LLM-based workflows Collaborate with stakeholders to identify and deliver strategic AI initiatives that deliver measurable business value Provide guidance on AI architecture, tooling … with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) Experience with RAG and LLM-based solutions Solid understanding of AI architectures and data pipelines Knowledge of security, compliance, and governance principles from a development perspective Proven mentoring ...

tactical edge. Own the deployment from infrastructure through to user acceptance. • Build bespoke capability on our platform. Extend our products with customer-specific workflows, RAG pipelines, agentic tooling, data connectors, knowledge graphs and reporting templates. Write production code. Ship it. • Close the loop with product engineering. Feed real operational insight … have seen what breaks between a notebook and a running service, and you know how to fix it • Practical experience with modern AI patterns: RAG, agentic architectures, evaluation, or fine-tuning of LLMs • Fluency with the modern deployment stack: containers, Kubernetes or equivalent, CI/CD, infrastructure-as-code ...

Work closely with stakeholders - listening, probing, and shaping solutions around real needs. Essential Experience Experience automating human-centric processes (approvals, performance workflows, document generation, analytics, etc.). Proven experience building AI agents and multi-step automation flows. Strong hands-on engineering skills (clean, explainable, well-structured code). … Expertise using ChatGPT Enterprise for workflow automation. Skilled in designing prompts, guardrails, and evaluation logic for reliable outputs. Experience building retrieval pipelines (RAG), vector search, or context-aware systems. Comfortable integrating AI systems with APIs and internal platforms. How to Apply If you're an AI Engineer ...

passionate about shaping how organisations deploy and scale AI? I'm supporting a leading business in the Insurance Sector as they build next-generation AI and integration capabilities across their enterprise. You'll work at the intersection of GenAI engineering, cloud architecture, and enterprise integration, helping define … What you'll be doing Designing and deploying AI-enabled solutions across cloud environments. Leading on GenAI orchestration (LangChain, Autogen, Google ADK). Architecting RAG pipelines, vector database integrations, and prompt management strategies. Building guardrail frameworks to prevent hallucinations, injection and bias. Designing API-first and event-driven architectures. Influencing ...

technical leadership to deliver high-assurance solutions. You'll be working on some of the most exciting projects within Defence AI and LLM generation and deployment, delivering and integrating core products and working with the customers to build best in class systems for mission decisions. Key Responsibilities Lead … articulate architecture and integration concerns clearly Proficiency in Python and/or TypeScript (core stack) Familiarity with AI/ML integration patterns (model serving, RAG pipelines, vector databases) Understanding of secure development practices Experience working in fast-paced, scaling organisations UK-based with willingness to travel to sites as required ...