1 to 25 of 90 Ontologies Jobs in England

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

trusted insights and operational outcomes. What You'll Do Build and optimise data pipelines, ETL processes and workflows in Palantir Foundry. Design data models, Ontologies and governance frameworks. Develop user-facing applications using Foundry's low-code and pro-code capabilities. Architect end-to-end solutions that support analytics ...

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 features ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

complex, ambiguous environments. * A strategic mindset combined with the ability to drive practical outcomes. Desirable Experience * Cloud migration and cloud-native data architecture. * Ontologies, semantic modelling or knowledge graphs. * AI-enabled data architectures and emerging technologies. * Experience developing enterprise data standards and frameworks. DV Clearance Eligibility Requirements * UK residency history ...

post graduate qualification.Right to work in the UK Nice to haveExperience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection).Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment.How we work ...

maintain knowledge graph structures that reflect canonical domain models • Develop and manage graph database schemas, queries, and data ingestion pipelinesEnsure semantic consistency between ontology definitions and downstream data product AI & Vector InfrastructureDesign and implement embedding pipelines that represent Comply’s financial and regulatory data invector spaceBuild and operate vector database ...

qualification. Right to work in the UK. Nice to have Experience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection). Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment. ...

should be interpreted, structured, and used. Create and maintain data mapping documentation — mapping raw instrument outputs to standardised business/data models, taxonomies, or ontologies used across R&D. Document business rules, transformation logic, and data lineage from instrument source to downstream systems (e.g., data lakes, analytics platforms). Collaborate ...

Management & Lineage: Implement frameworks for data metadata management and lineage tracking. This includes maintaining data catalogues or dictionaries that describe data meaning (possibly leveraging ontologies), and tools or processes to trace how data flows through pipelines and transformations. By providing transparency into data origins and transformations, you support model interpretability … with batch processing; experience with real-time streaming data (e.g. using Kafka or equivalent) is a plus.Ontologies & Knowledge Graphs: Exposure to semantic data modelling, ontologies, or knowledge graph construction. Experience in structuring data with ontologies (e.g. using RDF/OWL standards) or implementing a knowledge graph to link datasets ...

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 ...

schemas, and project lifecycles (Agile preferred)Bonus Points ForHands-on experience with data modelling tools such as Erwin, Sparx, Visual ParadigmExperience working with ontologies and knowledge of RDF/OWL/TTLExposure to Python or SQL scripting in support of data model designKnowledge of data governance and enterprise metadata integration ...

programmes , from conceptual modelling through logical/physical layers, tied directly to business priorities. Develop a unified language for data -dictionaries, vocabularies, taxonomies and ontologies that allow teams to interpret data consistently. Shape data and analytics architectures collaboratively with solution and enterprise architects. Act as a trusted advisor to senior ...

question answering, and 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 code ...

remediation backlogDefine and enforce remediation SLAsCollaborate with engineering and domain teams to resolve quality issuesEstablish governance processes for ongoing quality assuranceCollaborationPartner with data engineering, ontology, and AI teamsAlign quality standards with enterprise data governance frameworksPromote best practices in data quality management and validationRequired SkillsData Quality Frameworks (profiling, validation, governance)Graph ...

scientific 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 engineering ...

communicating them to stakeholders.Nice to haves:Experience with any of the following specialisms: Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs and Ontologies, Data Governance and Compliance, or Deepfake Detection.Creating Python-based applications and/or APIs.A degree in a field like data science, physics, computational science, mathematics ...

projects and/or programs. A track record building enterprise data platforms that serve production AI systems, not only analytics; experience with semantic layers, ontologies, or knowledge representation at scale. Deep familiarity with the modern lakehouse, vector, and graph landscape; experience with Microsoft Fabric, Snowflake, or equivalent platforms ...

Retrieval-Augmented Generation), or conversational AI frameworks. Semantic Modeling: A solid understanding of how to map business logic to physical data (semantic layers, ontologies, or metrics layers). Programming Skills: Proficiency in Python for data manipulation and scripting; familiarity with API integrations. AI Native: Demonstrated ability to utilize AI coding ...