18 of 18 Permanent Ontologies Jobs in the South East

data products aligned to business use cases. Work with federated data environments, handling diverse sources and complex integration requirements. Design, extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong ...

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 ...

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 ...

field environments, including data capture, experimentation, trial execution, automation, sensors, imaging, geospatial data, and data standards. Knowledge of data integrity, discoverability, metadata, taxonomy/ontology, traceability, provenance, auditability, and quality controls across data pipelines. Experience working with data governance, security, architecture, quality, compliance, and regulatory requirements. Strong stakeholder management ...

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 ...

data pipelines within Palantir Foundry Ingesting, transforming and enriching batch, streaming, real-time and unstructured data Developing logical and physical data models and Foundry Ontologies Designing scalable and high-performance Foundry architectures Implementing data governance, quality, metadata and lineage processes Developing user-facing applications using low-code and pro-code … Strong commercial experience with Palantir Foundry Experience with Palantir Gotham Data engineering experience across ETL, pipelines and workflow orchestration Strong understanding of data modelling, Ontology design and database optimisation Experience working with varied data sources and formats Proficiency in Python and/or TypeScript Understanding of CI/ ...

Graph-structured data, designing and utilising relational and graph databases, and knowledge of graph algorithms. Desirable Knowledge, Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j ...

JavaScript frameworks such as Vue, React, or Angular. Proficiency working in a HPC bioinformatics environment. Experience of working with clinical data and/or ontologies Experience of training people to use web tools or supporting users seeking assistance through a helpdesk system Hybrid Working: At EMBL-EBI, we are pleased ...

join the Patient Solutions Digital Strategy & Innovation team in Slough, UK (Windlesham from 2027). You will establish enterprise data foundations, govern metadata, ontologies and data standards to enable scalable, AI-ready data across R&D and operations. You will collaborate with scientific, digital and enterprise teams, design conceptual ...

interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering). Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Python and AI frameworks for text analytics. #J-18808-Ljbffr ...

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 ...

data models, schemas and flows across multiple enterprise systems Identify entities, relationships and metadata across complex datasets Synthesise schemas and define taxonomy and ontology requirements Define how enterprise data could feed a knowledge graph Assess data quality, ownership, governance and integration requirements Help shape the future data architecture and implementation … roadmap Work directly with data owners, architects and technical stakeholders Experience required Strong enterprise data architecture and data modelling experience Knowledge graphs, ontologies and taxonomies Complex data integration and metadata Experience within Azure environments Strong stakeholder engagement in large enterprise environments Experience in regulated industries is highly desirable Exposure ...

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 ...

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 ...

tool interfaces, and integration patterns that enable AI capabilities to interact effectively with MES business processes. Leading the platform's approach to data modelling, ontology strategy, semantic understanding, and business context required for AI-driven experiences. Providing architectural leadership across multiple engineering teams delivering AI, Integration, IoT, Connected Worker … software products. Experience designing APIs, service contracts, and software architectures. Experience with cloud-native application development and modern SaaS architectures. Experience with semantic modelling, ontologies, knowledge graphs, or domain-driven modelling approaches used to represent complex business domains. Strong understanding of software architecture, security, scalability, reliability, and observability. Excellent C# ...

define entities attributes relationships cardinality Experience modelling complex domains with many-to-many relationships hierarchical structures rule-based logic Experience in knowledge graph modelling ontology tools (e.g. Protégé) graph concepts (nodes, edges, traversal) Experience in regulated environments (government, finance) Conduct knowledge discovery across the organisation, working with stakeholders to understand … domains Translate unstructured understanding into structured artefacts (models, diagrams, definitions) Develop conceptual and logical data models to underpin knowledge graphs Support the creation of ontology and taxonomy models Enable downstream teams to build knowledge graphs RAG pipelines AI retrieval systems Public sector background Location: Remote with key meetings in Manchester ...