Lead Knowledge Graph Engineer / Ontology Engineer - Contract
Posted 1 day ago by 1769761292
£600 Per day
Outside
Remote
Manchester, Greater Manchester
Summary: The Lead Knowledge Graph Engineer / Ontology Engineer will work on a contract basis for a leading Regulatory Tech company, focusing on various initiatives through 2026. This role involves utilizing semantic standards, modern NLP techniques, and graph databases to enhance knowledge graph capabilities. The position is remote with occasional site travel and offers a competitive daily rate. The contract duration is six months, with the possibility of extension.
Key Responsibilities:
- Utilize W3C semantic standards and tooling, including RDF/RDFS, SPARQL, OWL, and SHACL, along with graph databases and visualization platforms.
- Implement modern NLP/NLU techniques for entity and relation extraction, topic modeling, and text summarization.
- Develop and manage data pipelines for knowledge graph integration, including ETL/streaming processes.
- Write high-quality production code in Python and leverage ML/NLP libraries for various applications.
- Employ graph visualization tools and communicate complex concepts to diverse audiences.
Key Skills:
- Proficiency in W3C standards and tooling: RDF, RDFS, SKOS, OWL, SHACL, SPARQL.
- Experience with graph databases such as GraphDB, Stardog, Amazon Neptune, Neo4j, TigerGraph, or ArangoDB.
- Knowledge of ontology and knowledge graph frameworks, reasoning tools, and production deployment.
- Expertise in data pipelines, entity resolution, data cleansing, and integration techniques.
- Strong programming skills in Python and familiarity with ML/NLP libraries like TensorFlow, PyTorch, NLTK, and spaCy.
- Experience with graph visualization tools and the ability to communicate complex ideas effectively.
Salary (Rate): £600 per day
City: Remote
Country: undetermined
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
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.