21 of 21 Ontologies Jobs in England

trusted insights and operational outcomes. What You'll Do Build and optimise data pipelines, ETL processes and workflows in Palantir Foundry. Design data models, Ontologies and governance frameworks. Develop user-facing applications using Foundry's low-code and pro-code capabilities. Architect end-to-end solutions that support analytics ...

Generative AI. Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques. Experience in building knowledge bases and ontologies is highly desirable. Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score ...

qualification. Right to work in the UK. Nice to have Experience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection). Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment. ...

Management knowledge and experience Skills/Knowledge/Abilities Essential Strong knowledge and understanding of health data including health data models, coding systems and ontologies (e.g. SNOMED CT), and NHS data standards/definitions. Good level of technical skills, underpinned by theory and practice, in designing systems, handling sensitive data ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

senior data engineering, knowledge engineering or a closely related field. Experience designing scalable knowledge systems for AI-powered applications. Strong understanding of domain modelling, ontology design and information architecture. Hands-on experience with hybrid retrieval techniques, semantic search, embeddings and vector databases. Experience building reliable data pipelines and integrating multiple ...

development and maintenance of Canonical Data Models (CDM) and domain-specific data models * Knowledge of GenAI, LLM, Agentic AI * Definition and governance of scientific ontologies and controlled vocabularies Desirable skills/knowledge/experience: * Design and implementation of data governance frameworks covering classification, data quality, lineage, retention and GxP/ ...

approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles on (phone ...

will: Own large areas of platform end to end, driving components from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations ...

equivilent working experinece Basic programming skills Excellent analytical skills Experience with NLP, machine learning, or scientific data would be an advantage Familiarity with metadata, ontologies, or knowledge graphs Company: Our client is a global biopharmaceutical company focused on creating value for people living with severe diseases in immunology and neurology ...

stack to the development of semantic knowledge graphs within an enterprise, with evidence of scaling across domains. Deep understanding of semantic layer design, including ontologies, taxonomies, canonical modelling, reference data, and approaches to machine-readable representation of business meaning. Experience enabling interoperability across data products, platforms, and domains, including aligning ...

high‐throughput, low‐latency inferencing and classical ML deployment within unified, production‐ready platforms Own the architecture of the enterprise context layer—knowledge graphs, ontologies, vector search, and semantic retrieval—grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

Knowledge Graph Lead to shape scalable AI and KG solutions, translating real-world problems into graph-powered data architectures. You’ll guide teams, design ontologies, and drive end-to-end delivery across business and tech units. Ideal candidates bring deep KG expertise, ML model experience, and a track record ...

LLMs, retrieval‐augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding‐model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM‐as‐judge, groundedness and faithfulness metrics, tracing), and model risk controls. Experience building secure, scalable … closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements. Strong grasp of structured data, taxonomies, ontology‐style data models and mappings across complex standards or schemas. Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user ...

engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help articulate the value of generative AI and knowledge graph approaches for a given business problem. You share what they learn with … degree or equivalent, plus at least 3 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph‐based ML models (functional + technical) Experience with end‐to‐end data pipeline ...

remain at the forefront and drive innovation by applying these techniques to new business problems, use cases, and scenarios. You design, evaluate, and maintain ontologies, and establish the standards others follow. You justify the value to business and technology stakeholders, and construct the methodologies and data architectures that demonstrate it. … degree or equivalent, plus at least 4 of the following: Experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Experience in schema design, ontology management, and KG curation Expertise in designing and developing KG solutions and graph‐based ML models (functional + technical) Experience with end‐to‐end data pipeline ...

significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting drug discovery/development projects Familiarity with metadata, ontologies, knowledge graphs, or information retrieval concepts is beneficial Full right to work in the UK What you'll get in return … your career. Keywords: Information, Scientist, Data, Analytics, Science, Research, Pharmaceutical, AI, NLP, Text mining, Machine, learning, Python, R, Informatics, Literature, Biomedical, Insights, Metadata, Ontologies, Knowledge, graphs, Automation, Programming, Intelligence, Content, Mining, Bioinformatics, Computation, analysis, Governance, Innovation ...

integrate emerging technologies into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems. Collaborate with domain experts, ontology engineers, and biomedical informaticians to integrate scientific taxonomies, citation networks, and clinical ontologies into retrieval systems. Incorporate structured data — including datasets, chemical entities, genes, drugs … Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau ...

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 … 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 ...

shape the future of knowledge graph and AI platforms? We are looking for an experienced Knowledge Graph Architect to lead technical direction, drive ontology design, and set standards for a high-performing graph ecosystem. What You'll Do Define Strategy & Architecture: Own the overall technical architecture and target state … knowledge graph platform, ensuring it scales, performs, and remains maintainable. Lead Ontology Governance: Drive the design and governance of the ontology so it accurately reflects business semantics and supports complex downstream use cases. Set Best Practices: Establish modelling standards for nodes, relationships, and properties across the graph. Guide Integration Patterns ...

will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies, and build the strategic roadmap for our next-generation GraphRAG and GenAI platforms. Key responsibilities - Platform Assessment: Conduct comprehensive technical health checks on existing graph … databases and cluster infrastructure. Ontology & Schema Review: Evaluate RDF/OWL and Labeled Property Graph (LPG) schemas for enterprise scalability. Standards Alignment: Map internal data frameworks to biomedical standards like MeSH, SNOMED, and UMLS. Performance Optimization: Eliminate data bottlenecks across real-time ingestion pipelines and complex query execution. Strategic Roadmap ...