21 of 21 Ontologies Jobs

project lifecycles (Agile preferred) Bonus Points For Hands-on experience with data modelling tools such as Erwin, Sparx, Visual Paradigm Experience working with ontologies and knowledge of RDF/OWL/TTL Exposure to Python or SQL scripting in support of data model design Knowledge of data governance and enterprise ...

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 ...

Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases ...

agentic systems, LLMs, and AI-driven architectures Experience with AI search (vector databases, hybrid search, GraphRAG) is highly desirable Familiarity with knowledge graphs, ontologies, or complex data modelling Strategic & Commercial Thinking Experience making build vs buy and technology investment decisions Ability to evaluate and integrate third-party tools, platforms ...

Build capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business ...

projects and enhancements. Leading Data Architecture Assessments and applying the organisation's Data Architecture Framework. Maintaining and governing the enterprise data model, including taxonomy, ontology, lineage, and metadata. Championing good data architecture practices across the organisation. Requirements: Microsoft background (SSIS, Dataverse, sharepoint) Microsoft Azure and/or Fabric Understanding ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

have the following characteristics, it would be a plus: Specific experience with technologies for curating, storing, and querying Knowledge Graphs. Experience with open-source ontology tools, data formats and languages (e.g. protégé, SPARQL, OWL, SKOS, SHACL, RML). Demonstrated experience establishing and managing external partnerships in an industrial setting. Track ...

data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine … working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability ...

team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President – Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing … ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related ...

retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology mapping to treat scientific evidence as a first‐class object. Lead the technical strategy and evidence extraction pipelines, ensuring high accuracy against gold‐standard published ...

most advanced data operating systems in the world. Key Responsibilities Lead the end-to-end architecture of Palantir, covering data integration, pipelines, transformations, ontology modelling, governance, and operational applications. Own and evolve the enterprise ontology, defining object types, links, actions, and semantic relationships for clinical and operational domains. Design scalable … transform patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundrys ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

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 … focus on backend development in Python and with event-driven architectures. Hands-on experience with Palantir Foundry, including working with Foundry APIs, data pipelines, ontologies, or Foundry-based application development. Proven experience designing and operating production REST APIs with OpenAPI/Swagger. Deep understanding of relational database design, indexing, performance ...

detection, and ethical evaluation into all assessment pipelines, ensuring transparency and trust in Elsevier's AI systems. Domain & Research Integration 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 … measurable improvements in retrieval or generation quality. Preferred Skills Experience deploying retrieval-enhanced LLMs and hybrid retrieval pipelines in production environments. Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef). Strong communication and stakeholder management skills, with the ability to bridge data science, engineering, and product ...

ecosystem, and own the voice of the customer internally - through attendance at industry events, customer forums, startup networks Data and AI literacy Embed data ontology literacy across product teams, ensuring consistent definitions, metadata standards, and semantic structures that enable trusted, high-quality data products Evaluate and guide AI-powered product … Product Management & Industry Expertise Significant experience (5+ years) in senior product management roles within data, technology, aviation, analytics, or related B2B information industries Data, Ontology and AI-fluency - proven understanding of data analytics, AI, ML and GenAI use cases in Product Development Demonstrated experience of scaling data or AI-powered ...

Data Architect - London - £72k Please note - this role will require you to work from the London based office two days per week. To be eligible for this role you must have the unrestricted right to ...

space. Active SC Clearance. Experience leading discovery and strategy engagements with senior stakeholders, translating complex business and operational challenges into clear AI, data, and ontology-enabled strategies, including prioritised use cases and value-driven roadmaps. The ability to define target-state architectures and operating models covering AI, data, and information … domains, including semantic/ontology-driven information architecture, platform requirements, and integration with wider enterprise landscapes. Experience shaping the strategic case for change, developing high-level business cases, investment options, and phased delivery plans that articulate value, risks, dependencies, and readiness for implementation in regulated environments. The ability to provide ...

summary: The Global Skills Architecture Lead is responsible for defining, governing, and continuously improving the company’s enterprise-wide skills framework, including the taxonomy, ontology, and related technology choices. The role ensures that skills function as a strategic asset supporting talent acquisition, learning, mobility, workforce planning, and AI‐driven opportunities … Technology/HRIS, HR platforms and ecosystems Knowledge of AI, data models or semantic technologies Workforce transformation programs Skills & Capabilities Skills taxonomies and ontologies; Skills inference and adjacency Systems thinking and architectural mindset. Ability to build and articulate business value/case Change management and stakeholder management Ability to operate ...

leading financial services firm in London is seeking a Vice President – Ontology to shape knowledge representation and data publishing standards. The role involves developing and managing ontologies and enhancing data interoperability. Candidates should have significant experience with Semantic Web technologies and ontology development tools. Strong communication skills and an understanding ...

risks, and compounds the firm’s diligence work into an intelligence asset. Technically, this means building systems that combine a domain-specific evaluative ontology, a multi-layer knowledge graph, controlled LLM orchestration over voice and text, and a production-grade enterprise application on top. Our founding team brings a proven … track record of building VC-backed business intelligence platforms, deep domain expertise in diligence and M&A workflows, nearly a decade of experience in ontology engineering and applied AI, and research excellence in behavioural science and human-AI interfaces. The Role As our first engineering hire, you are expected ...