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.

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