8 of 8 Permanent Semantic Search Jobs in the North West

BBC. We are a huge growth area for the BBC, so come join us on an exciting journey! Iplayer & S TV Engineering Team: BBC Search plays a vital role in helping millions of people discover the content they love across BBC iPlayer, Sounds, News, Sport and the wider BBC. … search platform handles millions of requests every day, and we're passionate about making search smarter, faster and more relevant for our audiences. Our engineering team is organised into three squads: Search Catalogue, Search Intent & Retrieval, and Search Ranking, working together to deliver an intelligent ...

Engineer in Manchester, UK, for building the knowledge graph and AI services behind a SaaS platform. The role supports extraction, entity resolution, and semantic search, with a focus on data provenance and evidence-backed matches. You will implement RDF models, SHACL constraints, and Python-based services using FastAPI ...

services behind a SaaS platform. You will be responsible for turning documents and records into structured information, connecting related data, and supporting search and matching with clear supporting evidence. This role is open to both senior and mid-level engineers with relevant practical experience. Key Responsibilities Develop RDF models … extracted information into the graph, including incremental updates, duplicate handling, and pre-publication checks. Ensure corrections and approved deletions reach the graph and search indexes, respecting tenant boundaries and access permissions. Develop information extraction services for documents, messages, and transcripts using FastAPI and schema validation, ensuring source location ...

applications Agentic AI, AI agents, intelligent assistants and AI-enabled automation Prompt engineering, AI evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should … machine learning and advanced analytics Cloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP AI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development Data & Visualisation – Power BI, Tableau, Looker and other business intelligence tools Consulting, Communication & Leadership: Ability ...

Generation (RAG) and AI applicationsAgentic AI, AI agents, intelligent assistants and AI-enabled automationPrompt engineering, AI evaluation and Responsible AIAI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP)Data engineering, pipelines, modelling and governanceAdvanced analytics, machine learning and statistical modellingData visualisation and insight solutionsCandidates should understand … Spark, machine learning and advanced analyticsCloud & Data Platforms – Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCPAI Technologies – GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application developmentData & Visualisation – Power BI, Tableau, Looker and other business intelligence toolsConsulting, Communication & Leadership:Ability to work effectively with ...

already be an AI specialist. Evidence of active development in this direction might include: Any applications of large language models (LLMs) including RAG or semantic search, agentic systems and structure tool use, and integrations into wider systems. Any experience of using model evaluation and monitoring for non-deterministic ...

production Excellent problem-solving skills and a passion for continuous learning Desirable Experience TypeScript, Java, Go, or C# development experience Exposure to LLMs, RAG, semantic search, agentic workflows, or AI integrations Experience evaluating or monitoring AI systems Personal AI projects, open-source contributions, or experimentation with AI technologies ...

securities or financial services industry is a plus. Strong foundational understanding of modern AI and agentic application patterns, including retrieval-augmented generation (RAG), semantic search, and agent-based system design. Hands-on experience building backend services, APIs, and production systems. Experience working across architecture, data, and platform concerns ...