26 to 28 of 28 Semantic Layer Jobs in the UK

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This is a senior, hands-on consulting role combining deep AI engineering expertise with strong client-facing presence, shaping both … human-in-the-loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches ...

evaluation loops. Build and maintain multi-agent architectures, including planning, delegation, tool use, safety constraints, and monitoring. Develop retrieval and vector-based systems, embeddings, semantic workflows, and structured reasoning pipelines. Apply ontology and knowledge modeling literacy to support precise reasoning and data alignment. Integrate AI systems with APIs, tools … design and orchestration (planning, delegation, tool integration). Evaluation frameworks, safety checks, and monitoring pipelines. AI Ops/observability experience. Familiarity with ontologies or semantic reasoning (literacy required). Critical Distinction: Candidates must be able to explain architectural trade-offs, discuss failure modes, demonstrate evaluation and reliability practices ...