Lead Knowledge Graph Engineer / Ontology Engineer - Contract

Lead Knowledge Graph Engineer / Ontology Engineer - Contract Duration: 6 months (extendable) Rate: £600 per day IR35: Outside Location: Remote with occasional travel to site The Role A leading Regulatory Tech company is seeking a Contract Lead Knowledge Graph Engineer / Ontology Engineer, to support a range of initiatives throughout 2026. In this role, you will have the opportunity to: Harness W3C semantic standards and tooling - RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting?edge entity and relation extraction, plus concise text summarisation.

Experience Requirements Core semantic / graph tech W3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL , SPARQL for modelling, validation and querying. Graph databases and platforms: GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, ArangoDB or similar RDF/LPG stores. Ontology and knowledge graph frameworks, reasoning tools, and production deployment experience.

Data pipelines and entity work ETL/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML / NLP stack High quality production code in Python .

Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit?learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic modelling, classification, coreference resolution.

Visualization and communication Graph visualisation tools: Linkurious, Ogma, GraphViz, PyVis, PyDot , etc. Ability to translate complex graph or AI concepts to varied audiences. #J-18808-Ljbffr