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

Designing and building GenAI platform components that help teams create and deploy AI solutions safely and efficiently Implementing LLM‐based systems , including RAG, embeddings, semantic search, and agent‐based workflows Shaping how GenAI systems handle prompting, grounding, evaluation, reliability, and cost control Building and evolving MLOps pipelines , from … building production AI or ML systems , with recent focus on Generative AI/LLMs A strong understanding of RAG architectures , embeddings, vector databases, and semantic retrieval Experience with MLOps , including deployment, monitoring, evaluation, and CI/CD for AI systems A solid software‐engineering background, building scalable backend services ...

practical delivery plans. The skills & experience needed Experience building, deploying, and maintaining machine learning and generative AI solutions (e.g., LLMs, embeddings, retrieval patterns, vector search, model fine‐tuning). Strong MLOps knowledge across continuous integration, deployment, monitoring, and evaluation of AI/ML models. Experience with AI infrastructure (orchestration … pipelines, GPU compute, model hosting services) and scalable AI data structures (including vector databases/semantic search). Deep software engineering capability in .NET Core/C# and modern back-end engineering, with flexibility to work across languages such as Python, Go, or TypeScript. Strong understanding of distributed ...