1 to 25 of 30 Ontologies Jobs in England

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 ...

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 ...

business audiences Experience working independently within secure, fast-paced delivery environments DESIRABLE EXPERIENCE AWS or cloud data migration experience Knowledge of data catalogues, ontologies, or enterprise architecture frameworks (e.g. TOGAF) Experience with data lakes, data warehouses, or modern data platforms Familiarity with tools such as Visio, Sparx Enterprise Architect ...

senior data engineering, knowledge engineering or a closely related field. Experience designing scalable knowledge systems for AI-powered applications. Strong understanding of domain modelling, ontology design and information architecture. Hands-on experience with hybrid retrieval techniques, semantic search, embeddings and vector databases. Experience building reliable data pipelines and integrating multiple ...

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 ...

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 ...

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 ...

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

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 ...

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 ...

approaches to scientific research and information management. Experience or exposure to NLP, machine learning, or scientific data analysis would be advantageous. Familiarity with metadata, ontologies, or knowledge graphs would be beneficial. To Apply Please click and submit your profile and/or to discuss further, contact Theo Charles on (phone ...

added to the model without breaking what's already built, while work continues incrementally alongside other live projects. \n Work with an established reference ontology to align data domains and objects to industry standards. \n Contribute hands-on to data engineering and pipeline work where needed. \n Operate independently with ...

equivilent working experinece Basic programming skills Excellent analytical skills Experience with NLP, machine learning, or scientific data would be an advantage Familiarity with metadata, ontologies, or knowledge graphs Company: Our client is a global biopharmaceutical company focused on creating value for people living with severe diseases in immunology and neurology ...

Strong understanding of AI-powered products, data pipelines and large-scale data platforms. Experience working with knowledge graphs, GraphRAG, semantic search, entity modelling or ontology/taxonomy management. Experience working alongside Engineering and Data Science teams to deliver technically complex products. Good understanding of APIs, structured and unstructured data ...

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 ...

/Health IT, disease registries, and claims databases Expertise in clinical data standards, medical terminologies and controlled vocabularies used in healthcare data and ontologies Expertise in data mining approaches within healthcare settings generating insight from routinely collected healthcare data Expertise in methods development and application using languages - strong SQL skills ...

architecture to build.**What You’ll Do*** Knowledge 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 through data … 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 ...

fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly … technical guidance from two of the most recognized knowledge graph practitioners in financial services. What You'll Deliver (POC Scope) An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund ShareClass Listing Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more ...

fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly … technical guidance from two of the most recognized knowledge graph practitioners in financial services. What You'll Deliver (POC Scope) An investment fund ontology (OWL 2/RDF/Linked Data) modeling the product hierarchy: Fund ShareClass Listing Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more ...

engineers, architects, and UI designers on end‐to‐end projects. You will stay current with knowledge engineering, generative AI, LLMs, and agentic systems, designing ontologies, articulating business value, and contributing to client workstreams while #J-18808-Ljbffr ...

scale AI and semantic layers, guiding cross‐functional teams and engaging senior client stakeholders to shape strategic offerings. You will drive innovation in ontology design, KG curation, and data architectures, while building trusted advisory relationships and leading pre‐sales efforts across large, multi‐stakeholder engagements. #J-18808-Ljbffr ...

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 ...

significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company supporting drug discovery/development projects Familiarity with metadata, ontologies, knowledge graphs, or information retrieval concepts is beneficial Full right to work in the UK What you'll get in return … your career. Keywords: Information, Scientist, Data, Analytics, Science, Research, Pharmaceutical, AI, NLP, Text mining, Machine, learning, Python, R, Informatics, Literature, Biomedical, Insights, Metadata, Ontologies, Knowledge, graphs, Automation, Programming, Intelligence, Content, Mining, Bioinformatics, Computation, analysis, Governance, Innovation ...

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 … Bachelor's degree or equivalent, plus all 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 ...

Lead Knowledge Graph Engineer/Ontology Engineer - Contract Duration: 6 months (extendable) Rate: £600 per day IR35: Outside Location: Remote with occasional travel to site The Role A leading Regulatory Tech company is seeking a Contract Lead Knowledge Graph Engineer/Ontology Engineer, to support a range of initiatives throughout … this role, you will have the opportunity to: Harness W3C semantic standards and tooling - RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting edge entity and relation extraction, plus ...