Salary: £70,000 - 70,000 per year Requirements: Proven experience deploying LLMs in production Strong Python development skills Hands-on experience with prompt engineering and evaluation Experience with Retrieval-Augmented Generation (RAG) Familiarity with embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma) Experience building LLM-backed services using FastAPI / Flask or similar Strong understanding of trade-offs around accuracy, latency, cost and scalability Experience working with or fine-tuning open-source LLMs (highly desirable) Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning) (highly desirable) Experience integrating LLMs into complex or data-heavy systems (highly desirable) Docker and Linux experience (highly desirable) Background in regulated, industrial or safety-critical environments (highly desirable) Responsibilities: Design, build and deploy LLM-driven features into live products and platforms Work with both commercial and open-source LLMs, selecting the right model for each use case Build and optimise RAG pipelines, embeddings and vector-based retrieval solutions Develop APIs and services that integrate LLMs with existing AI, data and platform systems Optimise solutions for performance, reliability, latency and cost Collaborate with engineering, AI and product teams to identify and deliver high-value use cases Ensure all solutions meet security, compliance and data governance standards Technologies: AI Docker FastAPI Flask Support LLM Linux Python Security More: We are a fast-growing AI technology company building intelligent systems deployed in real-world, safety-critical environments. Our solutions combine advanced AI, data, and edge technologies to support decision-making and reduce risk in high-hazard industrial settings. We are currently looking to hire a Senior LLM Engineer to help design and deliver large language model-powered capabilities across our internal platforms and customer-facing products. This is a hands-on, production-focused role within a collaborative engineering culture. We offer a high-impact role with real ownership and opportunities to shape how LLMs are used in production environments, all while working on meaningful and technically challenging problems. last updated 5 week of 2026