4 of 4 Remote/Hybrid SPARQL Jobs in England

Semantic Governance Managing Consultant - Ontologies and Semantics

Hiring Organisation
Capgemini
Location
City and Borough of Birmingham, United Kingdom
Employment Type
Full Time
experience with: OWL (Web Ontology Language) RDF (Resource Description Framework) SKOS (Simple Knowledge Organization System) SHACL (Shapes Constraint Language) Semantic Web standards and technologies SPARQL, Linked Data Experience developing, managing, and governing: Controlled Vocabularies Taxonomies Business Glossaries Semantic Standards Knowledge and Domain Expertise Strong understanding of: Semantic Interoperability Metadata Management ...

Lead Knowledge Graph Engineer

Hiring Organisation
Upbeat Ideas UK Ltd
Location
London, United Kingdom
Employment Type
Contract
engineering experience with Graph Databases, Triple Stores, or Labeled Property Graphs. Technical Stack Preferences Graph Databases: Stardog, AnzoGraph, or Neo4j Query & Programming Languages: SPARQL, Cypher, Gremlin, Python, and Java AI Tools: Any Vibe Coding Tool (Claude Code OR GHCP) Pharma Domain Knowledge - Pharma Domain Knowledge: Proven track record handling biomedical ...

Knowledge Graph Consultant

Hiring Organisation
NTT DATA
Location
London, United Kingdom
Salary
£ 80 K
modeling)Ontology Engineering (OWL/RDF, Protégé)Graph RAG (LLM integration, retrieval strategies)API Design (REST/GraphQL)Preferred SkillsGraph platforms: Neptune, TigerGraphSemantic standards: SPARQL, SHACLAI/ML and LLM ecosystem exposureData governance and integration experienceSummaryThis role is pivotal in shaping the semantic foundation for enterprise AI, bridging data architecture ...

Knowledge Graph & GenAI Data Scientist

Hiring Organisation
Intelix.AI
Location
England, United Kingdom
risk, supply chain, compliance) Build ingestion pipelines (ETL/streaming/CDC) and entity resolution for graph population Author complex queries (Cypher, GSQL, AQL, SPARQL etc. depending on stack) Integrate knowledge graph retrieval & reasoning into LLM/RAG/GraphRAG systems Develop and evaluate graph ML/embedding models (link … roles Deep experience with at least one graph technology: Neo4j, TigerGraph, ArangoDB, OrientDB, or Stardog Proficiency in query languages (Cypher, GSQL, AQL, SPARQL, etc.) Strong background in pipelines, ETL, and entity resolution Exposure to integrating KG + LLM or RAG architectures Experience with graph algorithms, embeddings, or GNNs Cloud & production ...