126 to 150 of 184 Retrieval-Augmented Generation Jobs in the UK

client discovery sessions and pre-sales activities, proposal creation, identifying technology and AI opportunities and defining project scope Proven GenAI and LLM expertise, from RAG and fine-tuning to observability, focused on driving measurable business outcomes Advise on technology and architecture decisions, balancing cost, risk, and performance Advising … client-facing proof of concepts Strong knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices Experience with Generative AI and LLMs (e.g., RAG, fine-tuning, prompt engineering) Desirable Degree in Business, Computer Science, Engineering, or related field Personal Attributes Strong analytical and strategic thinking skills Excellent communication skills ...

Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate … production-ready code. Hands-on experience building and deploying LLM/GenAI solutions in production not just POCs or notebooks. Strong working knowledge of RAG patterns, agentic frameworks, vector databases and embedding models . Familiarity with prompt engineering, LLM evaluation and guardrail design (hallucination mitigation, prompt injection defence, content safety ...

Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. Working with vector stores such as Azure AI Search, Pinecone, Qdrant, Weaviate … production-ready code. Hands-on experience building and deploying LLM/GenAI solutions in production not just POCs or notebooks. Strong working knowledge of RAG patterns, agentic frameworks, vector databases and embedding models . Familiarity with prompt engineering, LLM evaluation and guardrail design (hallucination mitigation, prompt injection defence, content safety ...

Science, or a related field Interest in AI, machine learning, and modern software development practices Curiosity and eagerness to learn about RAG (Retrieval-Augmented Generation) and other AI applications Strong analytical skills and ability to work collaboratively in a team environment Proactive mindset, ready ...

evidence extraction while building a product with immediate clinical and pharmaceutical impact. What you will do Architect production‐grade retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology ...

systems (SharePoint, Dataverse, SQL, and REST APIs). GenAI Configuration: Implement and fine-tune Generative AI features, including 'boosted conversations' and knowledge-base grounding (RAG). Governance & Security: Ensure all solutions adhere to strict SC-cleared environment protocols, focusing on data residency and responsible AI principles. Stakeholder Collaboration: Work with ...

people actually enjoy being part of. There’s a big push into AI and automation, including: Integrating GenAI into product workflows Exploring LLM and RAG-based features Using AI to improve both user experience and internal processes They’re looking for someone who wants to grow with the business long ...

people actually enjoy being part of. There’s a big push into AI and automation, including: Integrating GenAI into product workflows Exploring LLM and RAG-based features Using AI to improve both user experience and internal processes They’re looking for someone who wants to grow with the business long ...

enterprise environments Hands-on experience building agents or copilots using platforms such as Copilot Studio Experience working with generative AI concepts (e.g. prompt design, RAG, grounding) Good understanding of integration patterns (APIs, REST/JSON, event-driven workflows) Experience with Microsoft ecosystem tools such as Power Platform and Microsoft ...

What we’re building We design and deploy agentic AI systems into real enterprise workflows. Typical work includes: Document intelligence systems (unstructured data → decisions) RAG pipelines and knowledge systems AI-driven operational workflows Systems that take actions , not just generate outputs Everything is built for production, inside real environments, with ...

working in regulated environments or with legal workflows. Thorough understanding of AI technologies used in legal environments (LLMs, NLP, extraction/classification models, summarisation, RAG pipelines, etc.) Hybrid Working Birketts is a flexible business which has embraced a hybrid working model where our colleagues enjoy a mix of home ...

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, working on complex client engagements and shaping enterprise level AI solutions. The Role As a Senior GenAI … LangChain, LangGraph or CrewAI * Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral * Experience with Retrieval Augmented Generation, AI agents or similar GenAI architectures * Experience working with AWS or Azure in production environments * Docker and containerisation experience, Kubernetes desirable * Experience ...

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, working on complex client engagements and shaping enterprise level AI solutions. The Role As a Senior GenAI … LangChain, LangGraph or CrewAI * Experience working with Large Language Models such as OpenAI, Anthropic, Llama or Mistral * Experience with Retrieval Augmented Generation, AI agents or similar GenAI architectures * Experience working with AWS or Azure in production environments * Docker and containerisation experience, Kubernetes desirable * Experience ...

GenAI Engineer/Software Developer (Python LLM RAG) London 12 month FTC to £180k Are you a Senior Software Engineer with a strong knowledge of the capabilities of GenAI? You could be progressing your career in a hands-on role at a tech driven, global Asset Manager with multiple billions ...

TypeScript Contribute to scalable, distributed systems and cloud architecture (AWS) Work with structured and unstructured data across varied storage solutions Build and integrate RAG pipelines and AI-driven workflows Implement LLM integration patterns and multi-step orchestration Collaborate with cross-functional teams to deliver robust, high-quality systems What They ...

developing technical talent. Advise on internal AI platform strategy and client positioning. Apply modern AI/ML approaches, including LLMs, agent architectures, and RAG techniques, in delivery and practice strategy. Collaborate with stakeholders to translate technical capabilities into practical business impact. What We're Looking For: Essential: Strong background ...

done real AI work inside a high-calibre engineering organisation and worked closely with product. What you'll do Design and deploy LLM/RAG systems (GPT, Claude, Gemini) powering content generation, semantic search, and personalised learning experiences Build Knowledge Graph capabilities to underpin agentic workflows … Technically, you bring: Python fluency (NumPy, Pandas, Scikit-Learn, PyTorch) and solid TypeScript/API skills Hands-on experience with LLMs prompt engineering, evaluation, RAG architectures, safety considerations Cloud-native development on AWS and practical MLOps: CI/CD for models, version control, observability, retraining pipelines Familiarity with LangChain, Terraform ...

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 ...

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 ...

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 ...

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 ...

software engineering principles (Python preferred) Business-focused mindset, able to evaluate AI initiatives through an ROI lens Cloud and AI knowledge, including LLMs, RAG, prompt engineering, and modern AI tooling Solid Python knowledge Familiarity with Claude and similar frontier models Production experience using LangChain …/ML or similar discipline Desirable RAG architectures, embeddings, and vector databases Prompt management, evaluation, and observability Cloud deployment (AWS, Azure, or GCP) Enterprise concerns: security, governance, and cost control Strong stakeholder communication and technical decision-making ...

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 ...