76 to 90 of 90 Ontologies Jobs in England

across the Claims value chain.Lead the development and expansion of scalable data pipelines supporting both structured and unstructured claims data.Scale and enhance a Claims ontology and semantic layer that connects structured and unstructured data into a unified business knowledge model, improving discoverability, interoperability, and AI readiness.Collaborate with regional Claims leaders … solutions in production.Hands-on experience with Databricks, Snowflake, Azure Data Platform, Azure AI Search, Azure Data Lake Storage, and modern cloud architectures.Experience developing enterprise ontologies, semantic layers, or knowledge graph solutions.Experience building Retrieval-Augmented Generation (RAG), AI Search, or document intelligence solutions.Experience scaling enterprise data capabilities across multiple regions ...

foundations 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 domainsAlign data models with industry standards including TM Forum Open APIs, SID/eTOM, Open Digital … Architecture, YANG/NETCONF, and TOSCADrive adoption of ontology models across product teams as the semantic foundation for data exchange, AI training, and digital twin deploymentDevelop and lead the data fabric product architecture, including federated access, streaming pipelines, virtualization, metadata management, and lineage trackingTranslate data architecture vision into scalable, cloud ...

completeness. Focus on Material domains and future expansion to other scientific domainsDatabase Development and Maintenance: Contribute to the design and maintenance of our scientific ontology, ensuring efficient data storage, retrieval, domain coverage, and integration with our software platformPipeline Development: Implement ETL pipelines for ingesting, cleaning, and transforming scientific datasets from … analyse scientific data, identify trends, and develop predictive models for domain-relevant properties and behavioursOntology Development and Classification: Develop and maintain a comprehensive scientific ontology and classification system to enable efficient searching and filtering based on substance class, properties, and applicationsIntegration with Software Tools: Collaborate with software engineers to ensure ...

team in London, London, City of (GB-LND), United Kingdom (GB).Job Title: Knowledge Graph ArchitectExperience: 10+ years (5+ years in Knowledge Graphs/Ontology Engineering)Role OverviewWe are looking for a Knowledge Graph Architect to lead the design and governance of enterprise knowledge graphs. This role will define … ontology, data model, and canonical vs. interpretive boundaries, enabling scalable, high-quality graph data for AI-driven use cases, including Graph RAG.The role also requires strong team leadership, including coaching, mentoring, and building internal capabilities.Key ResponsibilitiesArchitecture & DesignDefine node types, relationships, schemas, and property standardsDesign scalable and extensible graph data modelsEstablish ...

integrate emerging technologies into the team’s roadmap.Contribute to knowledge graph and semantic enrichment efforts that support retrieval systems.Domain & Research IntegrationCollaborate 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, clinical … Computer Science, Data Science, Machine Learning, or a related fieldExperience 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 practicesFamiliarity with data visualization and analytical tooling (e.g., Tableau, Power ...

science, including literature searching, content analysis, and knowledge synthesisProven ability to translate scientific and business questions into effective search and analysis techniquesFamiliarity with metadata, ontologies, and FAIR data principles for structuring scientific contentWorking knowledge of AI capabilities related to content analysis, such as large language models (LLMs), semantic technologies … cross-functional teamsNice to Have Skills:Practical experience in evaluating, piloting, or advising on AI-driven content toolsKnowledge of data visualization, knowledge graphs, and ontology managementFamiliarity with Python, AI frameworks, and prompt engineering techniques for NLP applicationsExperience with scientific communication tools and knowledge mappingPreferred Education and Experience:Bachelor ...

stronger cross-sell. Deliver in stages, proving value within 90 days, with reporting continuity guaranteed throughout. Master Data & Shared Definitions:Define and maintain the ontologies, taxonomies, and reference data that QIMA's systems currently define differently. Sequence the work by business urgency and risk, not by theoretical completeness. Name … sentence, what business outcome it unlocks - and you say no to the ones that can't. Data Governance & MDM:Hands-on experience defining data ontologies, taxonomies, master data strategies, and data contracts, taking an organization from fragmented, system-specific definitions to one shared standard. Cross-Functional Leadership & Influence:Strong track ...

contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows. Search, Retrieval & RAG Systems Design, develop, and optimize search and retrieval pipelines , including lexical, vector, and hybrid retrieval approaches. … conversational AI applications Experience working on search, ranking, recommendation, or retrieval systems Familiarity with scientific, biomedical, or scholarly datasets Experience with knowledge graphs, ontologies, or semantic enrichment systems Exposure to production ML systems and MLOps practices Academic or industry research experience in NLP, information retrieval, search, or generative AI Experience ...

contribute recommendations for experimentation and adoption. Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts. Support integration of scientific metadata, ontologies, and knowledge assets into AI‐powered workflows. Design, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches. Contribute to the development … conversational AI applications. Experience working on search, ranking, recommendation, or retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience ...

package what works into reusable patterns, components, and technical narratives that scale across GTM and delivery ecosystems. Responsibilities Design and build knowledge graphs and ontologies that underpin Mendix's AI solutions, technical demos, and customer implementations. Own the data and graph architecture workstream within integrated team solutions, working alongside Solutions … analyst briefings. Requirements Demonstrable hands-on experience designing and building knowledge graphs and ontologies. Strong understanding of graph data modelling, semantic modelling, and ontology design. Experience with graph database platforms and query languages (e.g. SPARQL, Cypher, or equivalent). Data engineering fundamentals: pipelines, data preparation, and integration with enterprise systems ...

concept knowledge graph modeling investment fund data for a leading asset manager. The ideal candidate will possess extensive experience with RDF/OWL ontologies and related validation techniques. The role involves coding business rules into machine-readable formats to streamline fund data processes and enhance automation across global markets. Exposure ...

frameworks and contribute recommendations for experimentation and adoption.Contribute to prompt engineering, grounding strategies, context management, and hallucination mitigation efforts.Support integration of scientific metadata, ontologies, and knowledge assets into AI-powered workflows.Search, Retrieval & RAG SystemsDesign, develop, and optimize search and retrieval pipelines, including lexical, vector, and hybrid retrieval approaches.Contribute … assistants, agentic workflows, or conversational AI applicationsExperience working on search, ranking, recommendation, or retrieval systemsFamiliarity with scientific, biomedical, or scholarly datasetsExperience with knowledge graphs, ontologies, or semantic enrichment systemsExposure to production ML systems and MLOps practicesAcademic or industry research experience in NLP, information retrieval, search, or generative AIExperience working ...

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, and build the strategic roadmap for our next-generation GraphRAG and GenAI platforms. Key responsibilities - Platform Assessment: Conduct comprehensive technical health checks on existing graph … databases and cluster infrastructure. Ontology & Schema Review: Evaluate RDF/OWL and Labeled Property Graph (LPG) schemas for enterprise scalability. Standards Alignment: Map internal data frameworks to biomedical standards like MeSH, SNOMED, and UMLS. Performance Optimization: Eliminate data bottlenecks across real-time ingestion pipelines and complex query execution. Strategic Roadmap ...

function. The Head of AI is responsible for building and leading a team that builds production systems handling unstructured clinical text, structured knowledge (ontologies and graphs), and generative AI. Dyad has a learning and teaching culture and the candidate for the role should be as comfortable coming up with accessible … frameworks for: Hallucination detection Precision and recall of extracted clinical concepts Regression testing across model updates Implement structured output approaches (e.g. schema-constrained generation, ontology-driven formats). Design iterative feedback loops, including human-in-the-loop review where appropriate. Ensure measurable improvements in grounding, explainability, and reliability over time. ...

Capgemini is seeking a Senior Semantic Governance Managing Consultant to define and govern enterprise ontologies, data standards, and semantic models. You will lead workshops with business SMEs, engage executives, and drive reuse across complex client environments. The role demands extensive ontology engineering expertise and hands-on knowledge of semantic technologies. ...