2 of 2 Remote Semantic Search Jobs in the UK excluding London

scientists, engineers, and domain experts to understand business needs and deliver AI-driven solutions. Stay up to date with the latest NLP technologies, including semantic search and generative AI, and apply them to improve existing models. Build and maintain scalable data pipelines for processing both structured and unstructured More ❯

in a cloud-native Azure environment. Role Overview Develop and optimise RAG pipelines using LangChain, LlamaIndex, or Haystack. Build ingestion workflows (OCR, chunking, embedding, semantic search) and integrate with vector databases (FAISS, Pinecone, Qdrant). Ensure seamless integration of GenAI services into business workflows, prioritising security, scalability, and … functional teams (data scientists, architects, engineers) to drive high-performance, enterprise-ready solutions. Key Skills Required Expertise in LLM pipelines, embedding models, and vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps More ❯