2 of 2 Azure Cognitive Search Jobs in the Thames Valley

vector search. Vector Search Strategy: Define approach for semantic retrieval using pgvector, AlloyDB AI, or Azure Cognitive Search with embeddings. Cost & Performance: Establish strategies for latency optimization and cost control across clouds. AI Enablement & Delivery RAG System Design: Implement … Azure AI services. Practical knowledge of vector search (pgvector, AlloyDB AI, Azure Cognitive Search) and RAG orchestration. Strong Python or TypeScript for prototyping and integration. Familiarity with multi-cloud security and IAM patterns. You get bonus ...

text files, spreadsheets, structured JSON, and audio sources Design intelligent retrieval systems that combine structured chunking, advanced indexing, re-ranking methods, and hybrid search approaches Develop machine learning and LLM-based applications for tasks like information extraction, document classification, summarisation, and semantic querying Construct and maintain multi … factuality, and relevance Collaborate closely with product, engineering, and data teams to embed AI capabilities into user-facing platforms Deploy solutions in an Azure-based cloud environment, using container orchestration, automation pipelines, secure key management, and observability tooling Enforce data security and responsible AI practices, including anonymisation ...