76 to 100 of 112 Ontologies Jobs in England

foundations that enable Patient Solutions to scale trusted, reusable and AI-ready data across Research and Early Development. You will define and govern metadata, ontologies, identifiers and data standards that improve data quality, interoperability and discoverability. Working across scientific, digital and enterprise teams, you will help shape how data … created, governed and consumed to accelerate research, innovation and AI-driven decision making. What you’ll do Establish and govern enterprise ontologies, business vocabularies and global identifiers to ensure consistent representation and traceability of data across Patient Solutions. Design and implement scalable metadata management capabilities that improve data quality, lineage ...

will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. As a Higher Scientist, you will collaborate … experienced Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations/graphs, and have an appreciation of how the subject is being researched, how it can be implemented through software tools ...

rely on — in the field or in an operations centre. The heart of the work is Palantir Foundry . You design the pipelines, the ontology and the applications that bring live intelligence together with the customer's own operational data — sensor feeds, asset and unit positions, mission context … matters most to them in situational awareness and force protection, then scoping solutions against it. Designing, building and deploying on Palantir Foundry — data pipelines, ontology models and operator-facing applications. Bringing live intelligence into the workflows, common operating pictures and command-and-control tooling already in use, so that people ...

Databricks AI/BI capabilities and Genie Rooms. Configure and continuously improve Databricks Genie Rooms to enable natural-language analytics. Support the development of ontology, taxonomy, metadata, tagging and business glossaries. Understand data lineage from source through to consumption, helping ensure data is trusted, traceable and fit for purpose. Validate … similar. Good working knowledge of SQL and data validation. Understanding of semantic modelling, KPIs, metrics and business definitions. Knowledge of data governance, metadata, taxonomy, ontology and/or lineage. Strong stakeholder engagement skills, with the ability to break down business requirements and translate them into practical data solutions. Comfortable working ...

model. We will decide which with you, based on where your strengths land.**What you will own*** The knowledge graph in production: implementing the ontology and schema, entity resolution, and the pipelines that build and refresh the graph from client estates* Graph retrieval as a first-class capability: traversal patterns … will need*** Production data engineering: Python, SQL, and a pipeline orchestration framework, running systems that other people depend on* Graph engineering depth: schema and ontology modelling, a production graph database (Neo4j or comparable), and fluency in a graph query language* Entity resolution at real-world quality: matching people, organisations, policies ...

excited to help build and evolve innovative data and ontology solutions that power world-leading scientific technologies? Do you enjoy combining software engineering, automation, and data operations to create scalable systems that make a real impact for customers and researchers? About our Team SciBite is developing cutting-edge … volumes of unstructured data. About the Role As a DataOps Engineer, you will play a key role in maintaining and enhancing the data and ontology pipelines that underpin SciBite’s technology stack. Working closely with Ontology and Data Science teams, you will contribute to the development of high-quality vocabularies ...

leading the transformation of a large, complex data estate into a modern, trusted and value-generating asset, defining the target-state data architecture, ontology and platform strategy that underpins enterprise analytics, AI and digital transformation. You will be a valued member of the Cognizant Consulting team and work collaboratively with … boards and senior stakeholders including CDO, CTO and CIO, and clients. In this role, you will Define and govern the target-state data architecture, ontology, data products, data contracts, and medallion and data mesh architectures across a distributed technology landscape Direct data integration, engineering and pipeline standards, including enterprise-wide ...

classification levels (e.g., OFFICIAL-SENSITIVE to SECRET), and military decision-making cycles. Palantir Platform Strategy: Understanding how to leverage Palantir (Gotham/Foundry?) capabilities, ontology design, and data integration pipelines to deliver value without rebuilding native features. Roadmap & Prioritisation: Ability to prioritise high-value data feeds and features under strict … Strategy: Data Fusion Strategy, Dual-Persona UX (Tactical vs. Strategic), Product Roadmap, Capability Management, Operational Value Delivery. Technical Familiarity: Palantir Foundry, Palantir Gotham, Data Ontologies, Edge Architecture, APIs, Situational Awareness Tools. Important Information Start Date: ASAP Security Requirements: Minimum clearance required is SC - due to the nature of the role ...

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 ...

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 ...

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 Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with ...

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 Well versed in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience with ...

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 … degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience ...

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 … degree or equivalent, plus all of the following: Significant experience with Knowledge Graph technologies (RDF, SPARQL, LPG, SHACL) Advanced practical knowledge of schema design, ontology management, and KG curation Seasoned in designing and developing KG solutions and graph-based ML models (functional + technical) Proven experience ...

ability to read schemas, review queries, and discuss data modeling trade-offs with engineers Understanding of graph data modeling concepts including nodes, edges, properties, ontologies and taxonomies, RDF vs property graphs, and entity resolution Proven track record of translating ambiguous business problems into precise functional and non-functional engineering requirements … transparent backlog with clear value hypotheses, success metrics, and prioritization rationale Translate ambiguous business problems into precise functional and non-functional requirements covering ontology scope, data sources, query patterns, latency and scale targets, access controls, and integration points Own the product roadmap for the Knowledge Graph platform, run agile ceremonies ...

full provenance. Where you land depends on you and on what the lab needs next. Any of these could be yours: Data infrastructure and ontology underpinning our data ingestion, workflows and output APIs that receive customer intent, translate it into workflows and return results - followed quickly by MCP servers … automation, robotics, manufacturing, logistics, scientific instruments, or energy). Orchestration, scheduling, or workflow-engine work, and distributed systems at scale. Data-intensive systems: pipelines, ontologies or knowledge graphs, provenance or lineage. Early-stage or founding-engineer experience at a venture-backed company. Why this is unusual Most software roles like ...

with AI, automation, and product innovation across the portfolio.**How you will make an impact:*** Define and own the canonical telco data model and ontology across network topology, service lifecycle, inventory, assurance, and OSS domains* Align data models with industry standards including TM Forum Open APIs, SID/eTOM, Open … Digital Architecture, YANG/NETCONF, and TOSCA* Drive adoption of ontology models across product teams as the semantic foundation for data exchange, AI training, and digital twin deployment* Develop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage tracking* Translate data architecture ...

complex modalities such as genomics, transcriptomics, imaging, clinical and real-world datasets. Partner with the Data Excellence community and IT to align on governance, ontologies, metadata harmonisation, stewardship and shared enterprise data foundations. Establish ways of working and coach other team members, onboarding, mentoring and technically leading data engineers … requirements, including versioning, reproducibility and tensor-based workflows for large-scale AI systems. Experience implementing data governance in practice, including metadata management, lineage, provenance, ontologies, cataloguing and FAIR principles and familiarity with Trusted Research Environments (TREs) and controlled-access research data environments. Strong collaboration and influencing skills across technical ...

into the team’s roadmap. Contribute to knowledge graph and semantic enrichment efforts that support retrieval 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 … 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 ...

Accuracy: Serve as the crucial "human in the loop," auditing, fine‐tuning, and optimizing LLM‐generated classifications, descriptions, and data extractions. Architect the ETF Ontology: Build, refine, and maintain a single source of truth—our unified ETF taxonomy and ontology—to set the standard for asset class categorization. Ensure Uncompromising … Science, Data Analytics, or a related quantitative field. Bonus Points: Existing relationships with major financial market data vendors and direct experience building taxonomy/ontology frameworks. Salary Range: $80,000K/year - $90,000K/year USD Please note that the Salary Range included is a guideline only. The salary ...

integration infrastructure Reconcile and unify data from multiple, heterogeneous sources Develop flexible ways to model and interpret unfamiliar data Shape the semantic models and ontologies that give business data consistent meaning Design reliable, observable orchestration for complex data workflows Establish strong foundations for data quality, lineage and observability Embed permissions … ClickHouse or DuckDB Experience with distributed systems and third-party integrations A pragmatic mindset and a strong bias towards shipping Experience with semantic models, ontologies or knowledge graphs would be a bonus. You don’t need to meet all the requirements. We care more about what you’ve built ...

Group Business Glossary, Taxonomy of Business Terms, and Group Data Categories (high-level groupings of terms) Build high-quality glossaries, taxonomies and ontologies that create a shared semantic layer - so our data can be understood consistently and used by AI to answer questions across teams, faster and with more confidence … bring Is useful but not essential (tooling matters less than the modelling fundamentals) Demonstrable experience in business glossary curation, taxonomy design, and/or ontology modelling, with a clear understanding of how these enable AI and data interoperability With modelling and metadata practices; Collibra , with the ability to explain semantic ...

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) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

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) solid experience in schema design, ontology management, and KG curation Proven experience in designing and developing KG solutions and graph-based ML models (functional + technical) Experience with ...

user stories, and acceptance criteria. Data & Workflow Mapping: Documenting current-state data flows across command nodes and defining target-state fused data workflows. Palantir Ontology Alignment: Working with Data Specialists to map real-world military assets, events, and relationships into the Palantir object model. Traceability & Compliance: Maintaining traceability between operational … Stories, Acceptance Criteria (Gherkin), Gap Analysis, Process Mapping, Target Operating Model (TOM). Data & Domain: Data Dictionary Creation, Operational Workflows, C2 (Command & Control) Workflows, Ontology Alignment, Data Traceability. Stakeholder & Governance: Military Stakeholder Engagement, Subject Matter Expert (SME) Facilitation, MoD Procurement Awareness, DefStan Compliance. Important Information Start Date: ASAP Security Requirements ...