5 of 5 Permanent SPARQL Jobs in London

Knowledge Graph Engineer - Investment Data Ontology

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
/OWL ontologies in production (not solely academic — you have shipped something real) SHACL for constraint validation, data quality enforcement, and shape‐based governance SPARQL 1.1 — fluent in complex queries, property paths, and federated queries At least one enterprise triple store/graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon ...

Knowledge Engineering Senior Analyst

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
with the team. BASIC (REQUIRED) QUALIFICATION Bachelor's degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph‐based ML models (functional + ...

Knowledge Engineering Senior Analyst

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
team. Qualification Basic (Required) Qualification Bachelor's degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph-based ML models (functional + technical ...

Artificial Intelligence Engineer

Hiring Organisation
ENAIBLE TALENT
Location
City of London, London, United Kingdom
both — you know what's worth automating and why. • Comfortable working directly with a Python codebase — building, debugging, and extending features. • Graph literacy — Neo4j, SPARQL, or equivalent. Can inspect a knowledge graph and judge its fitness. • Agent fluency — has built LLM agents in production. Knows what goes wrong. • Strong communicator ...

Solutions Engineer

Hiring Organisation
Jobleads-UK
Location
Greater London, England, United Kingdom
knowledge graphs and ontologies. Strong understanding of graph data modelling, semantic modelling, and ontology design. Experience with graph database platforms and query languages (e.g. SPARQL, Cypher, or equivalent). Data engineering fundamentals: pipelines, data preparation, and integration with enterprise systems (ERP, CRM, operational systems). Ability to translate data ...