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. If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.