21 of 21 Permanent Ontologies Jobs in the South East

AWS, Azure, GCP). Strong communication and stakeholder engagement skills - translating complex technical concepts into business outcomes. Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A "can-do" mindset and hunger for continuous learning. Why More ❯

AWS, Azure, GCP). Strong communication and stakeholder engagement skills — translating complex technical concepts into business outcomes. 💡 Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A “can-do” mindset and hunger for continuous learning. 🌍 Why More ❯

AWS, Azure, GCP). Strong communication and stakeholder engagement skills translating complex technical concepts into business outcomes. Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A can-do mindset and hunger for continuous learning. Why More ❯

AWS, Azure, GCP). Strong communication and stakeholder engagement skills translating complex technical concepts into business outcomes. Bonus Points For Experience with semantic knowledge graphs , RDF/SPARQL , and ontology/taxonomy modeling . Familiarity with metadata-driven AI/ML enrichment . Knowledge of financial mathematics or capital markets. A can-do mindset and hunger for continuous learning. Why More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

for automated enrichment and agentic features. Develop entity-matching algorithms (potentially using ML) to link disparate data points and resolve entities. Work with domain experts to formalise a comprehensive ontology of the chemical and energy supply chain. Build agent-based systems that perform complex automated tasks, updating the digital twin based on real-time data. Establish the foundations for MLOps More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

data integrity. Work with Python to build scalable data solutions. Introduce and adopt new technologies such as Kafka, Docker, Airflow, and AWS . Define and enforce data hygiene practices (ontology, storage, artifacts, version control). Reduce engineering load per person through automation and efficient design. Collaborate closely with a small, ambitious team to deliver end-to-end data solutions. Support More ❯

of contemporary data management principles. Experience of working within, and influencing, international collaborations, including those within the Photon and Neutron community. Knowledge of the use of FAIR vocabularies and ontologies, Persistent Identifiers and metadata schemas (e.g. DataCite and domain-specific vocabularies). Ability to present complex concepts to both specialist and non-specialist audiences. Skills in managing multiple projects and More ❯

Location: London UK (hybrid) Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings + rerank ) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

Location: London | UK (hybrid) | Type: Permanent or contract-to-perm Own the enterprise knowledge graph and GraphRAG platform powering search, Q&A, and agentic apps. ROLE PROFILE: Model the ontology/schema and build governed ingestion (NER/NEL, dedupe/merge, provenance). Deliver hybrid retrieval (graph traversal + embeddings [+ rerank]) with measured uplift. Expose secure APIs/ More ❯

strategic goals. Solution Architecture: Design end-to-end solutions leveraging our platform capabilities (e.g. Knowledge Hubs, RAG, LLMs). Create technical specs, data flow diagrams, and architecture documents. MCP & Ontology Design: Define intelligent workflows by designing ontologies and structuring Model Context Protocols (MCPs) to automate reasoning and decision-making. Technical Leadership: Be the go-to expert for both clients and More ❯

domains (e.g. manufacturing, life sciences, public sector) Embed client strategy and technical teams Stretching the frontier: hybrid KG + AI, graph + reasoning + M Responsibilities Lead KG schema & ontology design across domains (assets, risk, supply chain, compliance) Build ingestion pipelines (ETL/streaming/CDC) and entity resolution for graph population Author complex queries (Cypher, GSQL, AQL, SPARQL etc. … able to explain complex graph/AI concepts to non-technical audiences Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client More ❯

domains (e.g. manufacturing, life sciences, public sector) Embed client strategy and technical teams Stretching the frontier: hybrid KG + AI, graph + reasoning + M Responsibilities Lead KG schema & ontology design across domains (assets, risk, supply chain, compliance) Build ingestion pipelines (ETL/streaming/CDC) and entity resolution for graph population Author complex queries (Cypher, GSQL, AQL, SPARQL etc. … able to explain complex graph/AI concepts to non-technical audiences Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client More ❯

domains (e.g. manufacturing, life sciences, public sector) Embed client strategy and technical teams Stretching the frontier: hybrid KG + AI, graph + reasoning + M Responsibilities Lead KG schema & ontology design across domains (assets, risk, supply chain, compliance) Build ingestion pipelines (ETL/streaming/CDC) and entity resolution for graph population Author complex queries (Cypher, GSQL, AQL, SPARQL etc. … able to explain complex graph/AI concepts to non-technical audiences Nice-to-Have/Bonus Assets Experience with GraphRAG or KG-backed LLM retrieval Semantic web/ontology skills (RDF/OWL/SHACL) Prior consulting or client delivery background Graph visualization/UI experience (Linkurious, Bloom, Ogma) Graph DB certifications (Neo4j, Stardog, etc.) High visibility & critical client More ❯