4 of 4 Permanent Ontologies Jobs in the City of London

Data Architect (Metadata, Governance & Semantics)

Hiring Organisation
Intellias
Location
City of London, London, United Kingdom
catalogue initiatives. Able to produce client-ready architecture documents and written review responses without editorial support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset ...

Data Scientist

Hiring Organisation
Elsevier
Location
City of London, London, United Kingdom
discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

Senior Neo4j Engineer

Location
City Of London, England, United Kingdom
Builds and maintains APIs/integration layers exposing graph data to downstream consumers (including the chatbot) Collaborates with the Knowledge Graph Architect to implement ontology, knowledge and schema changes as code Supports performance tuning, indexing, and scaling of the Neo4j instance Automates data refresh and synchronisation processes between source systems ...

Data Scientist - LeapSpace

Hiring Organisation
Elsevier
Location
City of London, London, United Kingdom
contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search, Retrieval & RAG Systems Design, develop, and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. … conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience ...