1 to 25 of 107 Ontologies Jobs in England

data transformation programmes Strong knowledge of metadata management, master data management, and enterprise data design principles Experience producing architecture artefacts including ERDs, data dictionaries, ontologies, taxonomies, and star schemas Strong stakeholder management and communication skills with the ability to influence technical and non-technical audiences Experience supporting data migration, analytics ...

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 ...

data integration, analytics, and data security. Advanced knowledge of conceptual, logical, and physical data modelling. Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies, ontologies, and enterprise data models. Strong understanding of data management disciplines including master data management and metadata management. Experience working with relational databases, APIs, transactional systems ...

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 ...

Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets.High-Throughput Streaming & Backend Services: Build scale, fault-tolerant real ...

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 ...

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 ...

Information Retrieval, and Generative AI.Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.Experience in building knowledge bases and ontologies is highly desirable.Extensive experience in defining and implementing evaluation metrics for GenAI systems such as Recall, Precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score ...

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 ...

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 ...

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 ...

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 ...

operational use cases. Architect high-performance data systems, ensuring scalability, reliability, and efficiency. Leverage advanced Foundry features including artifacts, compute modules, and Ontology frameworks. Client Delivery & Collaboration Work closely with clients to understand requirements and translate them into technical solutions. Manage stakeholder relationships and communicate progress and value effectively. Deliver ...

aligning technical outcomes with business value; Nice to have: Experience applying AI in drug discovery, safety monitoring, or clinical development; understanding of biomedical ontologies or knowledge graph applications; knowledge of FDA and EMA regulatory frameworks and data privacy considerations; background in computational biology, biostatistics, or a related scientific discipline; familiarity ...

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 ...

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 ...

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 ...

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 ...

catalogue initiatives. Able to produce client-ready architecture documents and written review responses without editorial support. Will be a plus: Knowledge of financial-industry ontologies (e.g. FIBO or similar) and a realistic view of their practical limitations. Familiarity with semantic search over metadata based on embeddings. Domain experience in asset ...