5 of 5 Remote/Hybrid Semantic Search Jobs in London

APIs and LLM-based applications. Experience with Retrieval-Augmented Generation (RAG) architectures. Understanding of AI agents and agentic workflows. Experience building knowledge management or search platforms. Experience with vector databases and semantic search technologies. Exposure to data engineering and machine learning workflows. Experience taking AI solutions from ...

Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps ...

with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps ...

prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings, semantic search, and token-based context management. * Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into ...

prompt engineering, or RAG pipeline construction * Familiarity with REST-based AI APIs (OpenAI, Anthropic, Google Vertex AI, or equivalent). * Basic understanding of embeddings, semantic search, and token-based context management. * Comfortable reading Python code or notebooks (most AI libraries are Python-first); ability to translate patterns into ...