6 of 6 Permanent SPARQL Jobs in the UK

least 10 years' relevant professional experienceKnowledge graph, semantic layer or ontology engineering experience, including technologies or standards such as Neo4j, RDF/OWL, SKOS, SPARQL or GraphRAG.Data quality, master data management or lineage tooling experience, including entity resolution, business glossaries, catalogues or platforms such as Collibra, Purview or Unity Catalog. ...

least 10 years' relevant professional experienceKnowledge graph, semantic layer or ontology engineering experience, including technologies or standards such as Neo4j, RDF/OWL, SKOS, SPARQL or GraphRAG.Data quality, master data management or lineage tooling experience, including entity resolution, business glossaries, catalogues or platforms such as Collibra, Purview or Unity Catalog. ...

shares with the team. BASIC (REQUIRED) QUALIFICATIONBachelor'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 curationExpertise in designing and developing KG solutions and graph-based ML models (functional + technical ...

approaches to AI, automation, guardrails, auditability and escalation. What We're Looking ForStrong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic ...

automation, guardrails, auditability and escalation. What We’re Looking For Strong understanding of knowledge representation and semantic technologies, including OWL, RDF, SWRL, SPARQL, JSON-LD, Turtle and N-Quads. Experience with semantic modelling and graph/triple-store technologies such as PoolParty, Stardog, TigerGraph, Ontotext GraphDB, Grakn, MarkLogic, Metaphactory ...

case requires it. You have experience with a graph database or query language, or closely related semantic tooling. Familiarity with Cypher, SPARQL, RDF or property graphs is valuable; no single stack is required. You can work with analysts, product managers, data scientists and engineers to define an ambiguous problem, make ...