1 to 25 of 35 Ontologies Jobs in England

named entity recognition, text classification, semantic similarity, topic modelling, or conversational AI. Data orchestration tools: Airflow, Prefect, Dagster. Experience working with Knowledge Graphs or ontologies in a production environment. Published work, open-source contributions, or a track record of writing or speaking about AI/ML topics. ...

Modelling, Data 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/GOV.UK/Public Sector domain experience strongly preferred.Must be active ...

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/GOV.UK/Public Sector domain experience strongly preferred. Must ...

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 ...

contribute to the enterprise data and knowledge architecture, supporting AI platforms and use cases across the organisation. Design and implement knowledge foundations, including taxonomies, ontologies, metadata, and knowledge graphs to support AI retrieval and reasoning. Establish scalable patterns for data ingestion, transformation, and retrieval across structured and unstructured data sources. ...

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 ...

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 ...

team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking an experienced Director, Molecule Design Products ...

team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph/semantic search, data/computing/analysis platforms, and data-powered applications. We are seeking an experienced Senior Product Manager who will ...

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 ...

teams and stakeholders Effective problem-solver who takes initiative in complex production settings Experience with scientific computing, deep learning, big data, or health IT ontologies (e.g., PyTorch, JAX, Spark, HL7, FHIR) (desirable) Familiarity with cloud infrastructure (Azure/AWS), infrastructure as code, Kubernetes, Linux, Docker, data pipelines, and MLOps tools ...

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 ...

strategy, delivery, and measurable outcomes Preferred domain experience includes patent analytics, legal tech, enterprise intelligence, or similar analytical domains, plus familiarity with taxonomy, metadata, ontology, or structured domain model challenges would also be preffered. Work in a Way that Works for You We promote a healthy work/life balance ...

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 ...

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 ...

Java, or C++. Deep familiarity with natural language processing (NLP) techniques and hands-on experience in knowledge graph construction, including entity extraction, relation extraction, ontology design, and graph storage/query. Proven track record of outstanding achievement, such as winning awards in international competitions (e.g., ACM-ICPC, Kaggle ...

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 ...

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 ...

retrieval‐augmented generation and reasoning systems that handle heterogeneous data types across clinical and mechanistic domains. Design and implement sophisticated knowledge representation systems and ontology mapping to treat scientific evidence as a first‐class object. Lead the technical strategy and evidence extraction pipelines, ensuring high accuracy against gold‐standard published ...

/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 ...

environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while … enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/ ...

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 ...