20 of 20 Ontologies Jobs

Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS/Healthcare data experience. Government/GOV.UK/Public Sector domain experience strongly preferred. Must ...

Quality, Data Validation. AWS Cloud Platform, S3, IAM, CI/CD concepts, DevOps principles, Agile Delivery. Advantageous Skills: Databricks, Palantir Foundry, Foundry Pipeline Builder, Ontology concepts, Delta Lake, Secure Data Environment (SDE) experience, NHS/Healthcare data experience. Government/(url removed)/Public Sector domain experience strongly preferred. Must ...

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 ...

Engineering teams to productionise models and APIs Maintain best practices across reproducibility, explainability, and responsible AI Contribute to the development of knowledge-based and ontology-driven systems Required Skills & Experience Strong commercial experience in Data Science, Machine Learning, or Advanced Analytics Strong Python and SQL skills Experience building models across ...

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 ...

/CD & Agile delivery experience Good understanding of structured and unstructured data, and the techniques needed to exploit them in different ways, including schemas, ontologies, taxonomies and translation/representation issues. Background in Defence/Public Sector/secure environments highly desirable A curious, hands-on mindset with strong stakeholder ...

backlog About the Company A Boston-based financial intelligence platform that's doing something genuinely different: not another reporting dashboard, but an ontology-driven intelligence layer that transforms fragmented ERP, CRM, and HR data into a clear, unified picture of profit, cost, and operational performance. Early-stage but well-funded ...

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. Experience with production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems ...

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 ...

world's most advanced data platforms. Key Responsibilities Lead end-to-end architecture of Palantir Foundry, 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 across clinical and operational domains Design scalable, modular … pipelines , following Foundry best practices (DRY principles, no circular dependencies) Integrate structured, unstructured, streaming, and IoT/device datasets using Foundry ingestion frameworks Deliver ontology-driven data products , including: KPIs and analytics frameworks Data marts Clinical pathway and care coordination insights Workforce planning and command centre capabilities Implement robust data ...

with stakeholders across engineering, operations, and leadership. What You Will Be Doing: Design and deliver enterprise-scale solutions on Palantir Foundry Build data pipelines, ontologies, and operational applications Develop data products and decision intelligence tools used day-to-day Translate complex operational problems into scalable technical solutions Contribute to platform … modern data architectures & distributed systems Ability to work in fast-paced, ambiguous environments Excellent stakeholder engagement and communication skills Experience building: Data pipelines & transforms Ontologies and data models Operational workflows/application Desirable Experience: Experience with Palantir AIP or AI-enabled workflows Exposure to LLMs or agentic AI systems Cloud ...

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 ...

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 ...

monitor, but as an architecture to build.What You’ll DoKnowledge 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 … 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 ...

environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while … enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/ ...

environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while … enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/ ...

Company A Boston-based financial intelligence platform redefining how profit is modelled and understood. Rather than layering on more reporting, they've built an ontology-driven intelligence layer that transforms fragmented ERP, CRM, and HR data into a unified, structured picture of profit, cost distortion, and operational performance. Early-stage … generate explainable financial insights. You'll collaborate closely with engineering to push models into production, and contribute to the evolution of a proprietary financial ontology that sits at the core of the product. If you're comfortable with ambiguity, think in systems rather than outputs, and want your work ...

Company A Boston-based financial intelligence platform redefining how profit is modelled and understood. Rather than layering on more reporting, they've built an ontology-driven intelligence layer that transforms fragmented ERP, CRM, and HR data into a unified, structured picture of profit, cost distortion, and operational performance. Early-stage … generate explainable financial insights. You'll collaborate closely with engineering to push models into production, and contribute to the evolution of a proprietary financial ontology that sits at the core of the product. If you're comfortable with ambiguity, think in systems rather than outputs, and want your work ...

strategy across data harmonisation, pipeline validation, knowledge graph, and FAIR data product requirements. Requirements Translation: Translate ambiguous scientific requirements into clear canonical data models. Ontology Management: Make ontology reuse, extension, and mapping decisions (with documented rationale), and define persistent identifiers and consistent provenance fields. Risk Mitigation: Identify modelling risks early … including metadata gaps, ontology conflicts, source data quality issues, lineage gaps, and downstream compatibility risks. Design & Architecture: Design modular, reusable, and future-proof models aligned to FAIR principles (findability, accessibility, interoperability, reusability) and enterprise standards. Technical Implementation: Apply practical experience with LinkML (or equivalent), including classes, slots, ranges, identifiers, constraints ...

grounded agents, and structured decision-support systems. Work with knowledge-based AI architectures, including retrieval-augmented generation, knowledge graphs, symbolic rules, structured domain models, ontologies, and hybrid reasoning systems. Develop and apply mechanisms for controlling inference, including planning constraints, reasoning policies, guardrails, validation layers, tool-use control, and human … academic research, or ideally both. Hands-on exposure to knowledge-based agentic systems, such as agents grounded in knowledge graphs, structured documents, domain rules, ontologies, databases, or retrieval systems. Experience with methods for controlling reasoning or inference, such as guardrails, constrained planning, validation layers, policy-based tool use, symbolic checks ...