26 to 37 of 37 Ontologies Jobs

Modelling Integrate semantic layers with business glossaries, data catalogues, and lineage tooling Design and maintain semantic models to support agentic-AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data … Good Python skills, API integration, automation Practical Snowflake and Databricks experience including Cortex AI and Genie Working knowledge of OWL, RDF, SPARQL and enterprise ontology design Experience with at least one agentic AI framework GitHub Copilot or equivalent AI coding assistant experience in a professional setting Financial services background preferred ...

engineers, architects, and UI designers on end‐to‐end projects. You will stay current with knowledge engineering, generative AI, LLMs, and agentic systems, designing ontologies, articulating business value, and contributing to client workstreams while #J-18808-Ljbffr ...

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 ...

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 ...

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 ...

define what staying at the forefront means for the practice; drive innovation and translate it into new offerings. You set the standards for how ontologies are designed, evaluated, and maintained across programs. You make the case to senior stakeholders and shape the methodologies and data architectures that prove value … deliver them. Basic Qualifications Bachelor's degree or equivalent. 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 ...

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 ...

clear ownership and contracts. The role also covers development of Canonical Data Models, architecture governance across the GCP platform, and the definition of scientific ontologies and controlled vocabularies. Key Responsibilities: Design enterprise data architecture aligned to Data Mesh and Data Fabric patterns, defining domain-oriented data products with clear ownership … developing and maintaining Canonical Data Models (CDM) and domain-specific data models Knowledge of GenAI, LLM, and Agentic AI Experience defining and governing scientific ontologies and controlled vocabularies Experience designing and implementing data governance frameworks - classification, data quality, lineage, retention, and GxP/regulatory compliance - is a plus Contract Details ...

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 ...

operating model, their competitive pressures, and their regulatory environment. Speaks insurance fluently – the economics, the operations, and the dynamics that move the industry. Insurance Ontology and AutonomousInsurer thesis: Carries the Sapiens intellectual point of view into every customer engagement. Understands and can articulate the Insurance Ontology argument – why a shared … with candour and integrity, from onboarding through to role transitions. Sapiens ambassadorship: Carries the Sapiens point of view into customer environments. Knows the Insurance Ontology argument, the AutonomousInsurer thesis, and the AI moat – and can hold them in a room. Project Manager leadership: Directly leads a team of Project Managers ...