Senior LLM Engineer
<p><b>Salary: £70,000 - 70,000 per year</b></p>
<b>Requirements:</b>
<ul><li>Proven experience deploying LLMs in production</li><li>Strong Python development skills</li><li>Hands-on experience with prompt engineering and evaluation</li><li>Experience with Retrieval-Augmented Generation (RAG)</li><li>Familiarity with embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma)</li><li>Experience building LLM-backed services using FastAPI / Flask or similar</li><li>Strong understanding of trade-offs around accuracy, latency, cost and scalability</li><li>Experience working with or fine-tuning open-source LLMs (highly desirable)</li><li>Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning) (highly desirable)</li><li>Experience integrating LLMs into complex or data-heavy systems (highly desirable)</li><li>Docker and Linux experience (highly desirable)</li><li>Background in regulated, industrial or safety-critical environments (highly desirable)</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, build and deploy LLM-driven features into live products and platforms</li><li>Work with both commercial and open-source LLMs, selecting the right model for each use case</li><li>Build and optimise RAG pipelines, embeddings and vector-based retrieval solutions</li><li>Develop APIs and services that integrate LLMs with existing AI, data and platform systems</li><li>Optimise solutions for performance, reliability, latency and cost</li><li>Collaborate with engineering, AI and product teams to identify and deliver high-value use cases</li><li>Ensure all solutions meet security, compliance and data governance standards</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>Docker</li><li>FastAPI</li><li>Flask</li><li>Support</li><li>LLM</li><li>Linux</li><li>Python</li><li>Security</li></ul>
<p><b>More:</b></p>
<p>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.</p>
<p>last updated 8 week of 2026</p>
<b>Requirements:</b>
<ul><li>Proven experience deploying LLMs in production</li><li>Strong Python development skills</li><li>Hands-on experience with prompt engineering and evaluation</li><li>Experience with Retrieval-Augmented Generation (RAG)</li><li>Familiarity with embeddings and vector databases (e.g. FAISS, Pinecone, Weaviate, Chroma)</li><li>Experience building LLM-backed services using FastAPI / Flask or similar</li><li>Strong understanding of trade-offs around accuracy, latency, cost and scalability</li><li>Experience working with or fine-tuning open-source LLMs (highly desirable)</li><li>Familiarity with LLMOps (monitoring, evaluation, guardrails, versioning) (highly desirable)</li><li>Experience integrating LLMs into complex or data-heavy systems (highly desirable)</li><li>Docker and Linux experience (highly desirable)</li><li>Background in regulated, industrial or safety-critical environments (highly desirable)</li></ul>
<b>Responsibilities:</b>
<ul><li>Design, build and deploy LLM-driven features into live products and platforms</li><li>Work with both commercial and open-source LLMs, selecting the right model for each use case</li><li>Build and optimise RAG pipelines, embeddings and vector-based retrieval solutions</li><li>Develop APIs and services that integrate LLMs with existing AI, data and platform systems</li><li>Optimise solutions for performance, reliability, latency and cost</li><li>Collaborate with engineering, AI and product teams to identify and deliver high-value use cases</li><li>Ensure all solutions meet security, compliance and data governance standards</li></ul>
<b>Technologies:</b>
<ul><li>AI</li><li>Docker</li><li>FastAPI</li><li>Flask</li><li>Support</li><li>LLM</li><li>Linux</li><li>Python</li><li>Security</li></ul>
<p><b>More:</b></p>
<p>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.</p>
<p>last updated 8 week of 2026</p>