25 of 25 Permanent Ontologies Jobs

autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety). Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently. LLM-Powered Analytics - Prototype LLM-enabled ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking an experienced Director, Molecule Design Products ...

health sector. Required Skills Strong hands-on Palantir Foundry experience Experience with healthcare datasets and interoperability standards (FHIR/HL7) Enterprise data modelling and ontology design expertise Experience in NHS, healthcare, or regulated environments Strong stakeholder communication skills Desirable AWS cloud experience DevOps/CI/CD/IaC knowledge ...

business audiences Experience working independently within secure, fast-paced delivery environments DESIRABLE EXPERIENCE AWS or cloud data migration experience Knowledge of data catalogues, ontologies, or enterprise architecture frameworks (e.g. TOGAF) Experience with data lakes, data warehouses, or modern data platforms Familiarity with tools such as Visio, Sparx Enterprise Architect ...

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 ...

evidence-grounded insight generation. Build intelligent retrieval, ranking, recommendation, and decision-support capabilities using modern orchestration frameworks and AI techniques. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scalable AI workflows. Establish robust evaluation, experimentation, and monitoring frameworks to ensure quality, trust, performance, and reliability. Write production-ready Python ...

discovery, knowledge extraction, decision support, and intelligent content understanding. Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline. Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature ...

organisation. Key responsibilities include: Driving enterprise data modelling and governance through the Data Architecture Framework (DAF) Developing conceptual and logical models (UML), taxonomies, ontologies and data glossaries Mapping data flows and establishing lineage across the enterprise ecosystem Supporting and evolving the Microsoft D365 and downstream medallion data architecture Administering ...

strategy, delivery, and measurable outcomes Preferred domain experience includes patent analytics, legal tech, enterprise intelligence, or similar analytical domains, plus familiarity with taxonomy, metadata, ontology, or structured domain model challenges would also be preffered. Work in a Way that Works for You We promote a healthy work/life balance ...

Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems ...

Experience building evaluation systems for LLM-powered applications and AI assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems ...

Strong understanding of AI-powered products, data pipelines and large-scale data platforms. Experience working with knowledge graphs, GraphRAG, semantic search, entity modelling or ontology/taxonomy management. Experience working alongside Engineering and Data Science teams to deliver technically complex products. Good understanding of APIs, structured and unstructured data ...

Ontology Engineer Location: London Role Type: Permanent Work Setup: Hybrid - 3 days in the office Who We Are We are a consultancy operating within Robert Walters, the world's most trusted talent solutions business. Across the globe, we deliver recruitment, outsourcing, and talent advisory services for businesses of all sizes … fund data at one of the world's largest asset managers. You'll encode business rules, regulatory constraints, and identifier relationships into machine-readable ontologies, replacing manual processes and enabling automated validation across thousands of funds in six global markets. The project has a defined scope, executive backing, and guidance ...

semantic precision in electronic health records (EHRs), clinical research, and healthcare analytics. The ideal candidate has a strong understanding of clinical terminology systems, ontologies, and data modeling concepts within healthcare environments. Fulfillment of terminology request for Procedures, diagnosis records coming from different KP markets. Ability to data model, map terminology ...

experience of how to use relational databases, content management systems, such as SharePoint Online, enterprise search and AI functionality * Understanding of metadata, taxonomies, ontologies and knowledge graphs and how they can be used to classify and structure data * An aptitude for using technology and be highly computer literate, including strong ...

/Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data Expertise in methods development and application using languages - strong SQL skills ...

technical and non-technical audiences. Comfortable working with ambiguity and shaping emerging requirements. Desirable Experience with federated data-sharing platforms or data ecosystems. Ontologies, semantic data models or knowledge graphs. Public sector, regulated industry, critical infrastructure or federated ecosystem solutions. Role and Responsibilities: Design security Non-Functional Requirements. Lead ...

architecture to build.**What You’ll Do*** Knowledge Architecture & Semantic Infrastructure. Design and own the enterprise knowledge layer—the governed semantic models, ontologies, and knowledge graph structures that ground both human analytics and AI agents in a single source of truth. Define how business meaning flows from glossaries through data … business context are prerequisites for accurate conversational analytics—not afterthoughts.* Knowledge Graphs & Advanced Data Models. Hands-on experience with graph databases, knowledge graphs, or ontology-driven data architectures. Understanding of how graph structures enable multi-hop reasoning, entity resolution, and context grounding for AI agents.* Experience with at least ...

fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies — directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly … technical guidance from two of the most recognized knowledge graph practitioners in financial services.What You'll Deliver (POC Scope)An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed ...

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 ...

efforts with the objectives of the Smart Building Integration service. This might involve ensuring that projects contribute to the development and implementation of ontologies, technical submittal reviews, data migration processes, and program development. Compliance with Security Standards: The Project Manager is responsible for ensuring that data migration processes are conducted … manage project budgets effectively and efficiently allocate resources. Technical Proficiency: Understanding of Smart Building Concepts: Familiarity with Master Systems Integration concepts and practices, including ontologies, data migration, and technical submittal review. Technical Background: A background in a technical field related to systems integration, information technology, or a relevant domain. Security ...

contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search, Retrieval & RAG Systems Design, develop, and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. … conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience ...

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 ...

Experience designing and implementing GraphRAG, LLMs and GenAI solutions. Strong understanding of RDF, OWL, Linked Data and Semantic Web standards. Experience optimising graph databases, ontologies and enterprise data models. Pharmaceutical or Life Sciences experience, including biomedical data and ontologies such as SNOMED, MeSH and UMLS. Experience with CMC data, knowledge ...