6 of 6 LLM Jobs in West Yorkshire

hit apply, or get in touch for a conversation. I hope to hear from you soon! Keywords: Python Developer, Python Software Engineer, Software developer, Software Engineer, Python, AI, ML, LLM, Leeds, Yorkshire, Tech start-up. More ❯

hit apply, or get in touch for a conversation. I hope to hear from you soon! Keywords: Python Developer, Python Software Engineer, Software developer, Software Engineer, Python, AI, ML, LLM, Leeds, Yorkshire, Tech start-up. More ❯

Lorien are partnering with an exciting start up as they build an exciting platform from the ground up and they are going through an exciting period of growth. We're supporting them in hiring a Senior Software Engineer to help More ❯

at scale. RAG & vector search: Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops). Own pgvector/Vector DB schemas, latency, relevance and cost. LLM integration: Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation. Data pipelines: Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL … platform (ECS on AWS), with clear boundaries between ingestion, retrieval, reasoning and delivery. Quality & reliability: Testing (unit/integration/evals), CI/CD, observability (tracing/metrics for LLM and retrieval paths), and performance tuning. Collaboration: Work closely with Product and ELT; mentor engineers; contribute to technical strategy and research. Innovation: Research and recommend new tools, frameworks, and approaches … data. Excellent communication, problem-solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If More ❯

at scale. RAG & vector search: Design, implement and iterate retrieval pipelines (chunking, embeddings, hybrid search, ranking, feedback loops). Own pgvector/Vector DB schemas, latency, relevance and cost. LLM integration: Integrate OpenAI/Bedrock models, prompt/response orchestration, tool use, guardrails, and evaluation. Data pipelines: Ingest and transform structured/unstructured data; design efficient schemas (Postgres/NoSQL … platform (ECS on AWS), with clear boundaries between ingestion, retrieval, reasoning and delivery. Quality & reliability: Testing (unit/integration/evals), CI/CD, observability (tracing/metrics for LLM and retrieval paths), and performance tuning. Collaboration: Work closely with Product and ELT; mentor engineers; contribute to technical strategy and research. Innovation: Research and recommend new tools, frameworks, and approaches … data. Excellent communication, problem-solving, and leadership skills. Nice to have Rerankers (e.g., cross-encoders), structured retrieval over SQL + vectors, query rewriting/expansion, or lightweight knowledge graphs. LLM/evals tooling (LangChain/LlamaIndex/OpenAI Evals) and feature telemetry for relevance/latency/cost dashboards. Experience in B2B data products or fintech. Get in touch! If More ❯

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open More ❯