1 to 25 of 38 Ontologies Jobs in England

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 ...

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 ...

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. ...

Management knowledge and experience Skills/Knowledge/Abilities Essential Strong knowledge and understanding of health data including health data models, coding systems and ontologies (e.g. SNOMED CT), and NHS data standards/definitions. Good level of technical skills, underpinned by theory and practice, in designing systems, handling sensitive data ...

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 ...

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 ...

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 ...

Posted 9 months ago Tech stack SQL Python Responsibilities Design and build robust data pipelines within Foundry. Integrate diverse data sources using Foundry's Ontology and Code Workbooks ( Python , SQL). Develop and maintain Foundry applications (data lineage, pipelines, object models). Collaborate with analysts, data scientists. Compensation Competitive Role ...

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 ...

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 ...

designing and optimising CI infrastructure. Experience with document processing pipelines – PDF parsing, OCR, structured data extraction. Familiarity with knowledge representation – decision trees, knowledge graphs, ontologies, or symbolic reasoning systems. Experience with LLM integration in production systems – prompt engineering, evaluation, working with APIs such as Gemini, Claude, or OpenAI. Frontend experience ...

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 ...

primary challenge is creating and maintaining the knowledge graph that powers intelligence, discovery, and workflow automation across the platform. About You Knowledge Graph Design & Ontology Modelling : Expertise in modelling complex domains as interconnected graphs, covering companies, sponsors, lenders, law firms, financial instruments, transactions, documents, events, and their relationships. Entity Resolution ...

pipelines, workflows, and information models Develop solutions that support analytics, AI, operational applications, and decision support Contribute to the design and development of Foundry Ontologies Work within agile, multidisciplinary delivery teams across complex environments Build strong client relationships while delivering tangible outcomes Your Responsibilities: Design and implement scalable data pipelines … data governance, metadata management, data quality, and lineage Experience working with batch, streaming, real‐time, and unstructured data Strong understanding of data modelling and Ontology design Experience designing scalable data architectures and information assets Coding experience in Python, TypeScript , or similar languages Understanding of SDLC principles, version control ...

team. Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems. Define data models, schemas, and ontology structures that support operational workflows and use cases across the business. Clean, transform, and structure data to create a digital twin of Nscale. Implement permissioning … Foundry with existing systems and data sources, ensuring seamless data flows. Profile and Required Skills Deep, hands‐on expertise in Palantir Foundry , including ontology modelling, pipeline development, data architecture, and large-scale platform design. Proven experience providing technical leadership—setting architectural direction, mentoring engineers, and defining standards in a data ...

will: Own large areas of platform end to end, driving components from design through to production deployment. Work on knowledge representation systems, including ontologies and knowledge graphs, to support structured reasoning over enterprise data. Design and implement RAG pipelines, including chunking, embedding, indexing, retrieval, and reranking. Build and maintain integrations ...

pivot fast in a fast‐moving environment. It would be great if you had GraphRAG Experience: Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data. Local/Open‐Weight Model Deployment: Experience deploying and fine‐tuning open‐weight models (like ...

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 ...

analytics. You will champion data democratization, mentor staff, and align cross-functional teams on standards. As a senior leader, you will drive taxonomy, ontologies, and data models, orchestrate complex migrations, and design scalable, secure data pipelines while partnering with #J-18808-Ljbffr ...

enterprise data architectures, cloud data platforms, and data integration strategies. Information Architecture: Establishes the enterprise-wide business glossary, conceptual data blueprints, and taxonomy/ontology frameworks to ensure a unified understanding of data across the business. Data Modeling: Oversees the creation and maintenance of enterprise conceptual, logical and physical data … secure data pipelines. Information Architect Deep expertise in metadata management, master data management (MDM), and reference data management. Proven ability to construct enterprise taxonomies, ontologies, data lineages, and business glossaries. Strong understanding of semantic web technologies (RDF, OWL, Knowledge Graphs). Data Modeler Expert proficiency in industry-standard data modeling ...

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 ...

time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands‐on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways ...

tune – Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

will bridge the gap between complex biomedical data and actionable AI applications. You will conduct comprehensive health checks on our current stack, refine bio-ontologies, an... WKCL1_UKTJ ...