Lead Graph Engineer​/Ontology Engineer

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: Graph
  
  DB, Stardog, Amazon Neptune, Neo4j, Tiger Graph, 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, Tensor Flow or Py Torch , NLTK, spaCy, Hugging Face, BERT, Pandas, Num Py, 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, Graph Viz, PyVis, Py Dot , 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.