25 of 25 Ontologies Jobs in London

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 ❯

BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics More ❯

BSc, MSc, PhD) Experience with ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, Scikit-learn) Strong Python skills and familiarity with additional languages (e.g., Java, C++) Understanding of biomedical ontologies, knowledge graphs, or causal inference is a plus Familiarity with cloud platforms (AWS, Azure, GCP) and Linux environments Bonus Experience: Prior work in biomedical NLP, literature mining, or clinical informatics 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 ❯

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 ❯

services to customers, offering guidance on data attributes, integration strategies, and system optimisation. Documentation & Standards: Collate, analyse, assess and summarise current and emerging NATO documentation related to data models, ontologies, governance, processing, and third party integration. Ontology & Model Development: Advise on the evolution of Janes data models and ontologies to ensure compatibility and seamless integration with NATO and other customer … experience for this role are: Domain Expertise: Proven experience in data integration, system interoperability, and technical advisory roles-ideally within defence and intelligence sectors. Strong understanding of data models, ontologies, and standards relevant to NATO and allied environments. Experience working with national security and defence organisations. Citizenship of a NATO nation with the ability to obtain a security clearance. Technical More ❯

solutions that empower clients to make informed decisions. Core Responsibilities Data Integration : Connect and harmonise data from multiple sources into Palantir Foundry, ensuring clean, reliable, and compliant data pipelines. Ontology Development : Design and manage ontologies within Foundry to create logical data structures that enhance accessibility and usability. Application Development : Build full-stack applications using Foundry tools such as Workshop, Quiver More ❯

solutions that empower clients to make informed decisions. Core Responsibilities Data Integration : Connect and harmonise data from multiple sources into Palantir Foundry, ensuring clean, reliable, and compliant data pipelines. Ontology Development : Design and manage ontologies within Foundry to create logical data structures that enhance accessibility and usability. Application Development : Build full-stack applications using Foundry tools such as Workshop, Quiver 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 ❯

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 ❯