3 of 3 Retrieval-Augmented Generation Jobs in South Wales

large-scale web crawls to internal datasets - and connect them to cutting-edge AI models, including fine-tuned LLMs and retrieval-augmented generation (RAG) pipelines. Our solutions enable smarter property decisions, faster operations, and better customer outcomes for both the financial services and property sectors. Key Responsibilities Data Acquisition & Integration Design, implement, and operate … pipelines ingesting and normalising data from APIs, databases, web crawlers, and file imports. Architect secure, scalable web crawling and data ingestion systems suitable for regulated environments. AI Development & RAG Implementation Prepare, clean, and structure datasets for fine-tuning LLMs and retrieval-based workflows. Design, implement, and optimise RAG pipelines using vector databases, embeddings, and semantic search to connect … complex data pipelines from multiple sources. Strong expertise in large-scale web crawling & scraping . Proficiency in Python and one or more of: Node.js, Go, Java. Deep experience in RAG - from embeddings and vector database design to semantic search optimisation and retrieval integration with LLMs. Experience with LLM fine-tuning and evaluation. Hands-on experience with GPU cloud More ❯

with enterprise partners. No two weeks will look the same. Fine-tune and privately deploy LLMs - with a focus on Retrieval-Augmented Generation (RAG) pipelines Build and scale computer vision systems - from object detection to image segmentation Apply NLP to real-world business problems - summarisation, entity recognition, information extraction, and more Train and deploy More ❯

Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs Exposure to RAG architectures and vector stores (such as FAISS, Pinecone...) Prompt Engineer (AI & Data) – Could suit a Graduate/Junior or Experienced professional Location: Remote (M4/M5/M50 area preferred but flexible) Salary … the join the R&D team and design, test and refine prompts , clean and map unstructured text and structured fields into usable metadata and semantic indexes for use in RAG systems and collaborate with product and design teams to embed LLM-powered assistants into customer facing healthcare support tools. What You'll Do Work across LLM design, structured data integration … Bring Experience working with LLMs and prompt design (ideally OpenAI or similar) An understanding of structured data (SQL, JSON, CSV) and unstructured text (PDFs, documents, form data) Exposure to RAG architectures and vector stores (such as FAISS, Pinecone.....) The ability to work with and communicate with multi-disciplinary teams at all levels of an organization Any experience in a professional More ❯