76 to 100 of 140 Ontologies Jobs in England

strong programming skills in languages such as R, Python, Bash, or similar . Experience integrating genomic data with structured clinical information, familiarity with clinical ontologies, and a solid understanding of data governance practices for sensitive health data will support success in this role. Salary details The salary for this position ...

enable the collection, integration, management and exploitation of research and manufacturing data. Working as part of a team, they will develop semantic information models, ontologies and knowledge graph approaches that improve interoperability across digital and physical systems, supporting data-driven decision making and the deployment of advanced digital technologies. Working ...

creating user journey maps, wireframes, and clickable prototypes. And of working with UI designers to create test-ready designs. Experience with designing taxonomies, ontologies, information architecture, and content hierarchies. Meticulous attention to detail. Benefits Discretionary annual bonus Hybrid working considered Up to 30 days holidays in addition to bank holidays ...

BDNS). Good knowledge/understanding of the following would be desirable: Other non-Tridium building systems, such as Trend, Johnsons and Siemens. Building ontologies (DBO, Haystack, Brick, RealEstateCore and 223P) and the value they offer within building environments ICT skills, including knowledge of TCP/IP networking. Working with ...

wrangling, enrichment, and collaboration with international partners to advance repository metadata capabilities. You will design and implement improvements, map metadata to standards and ontologies, and advise on strategy while coordinating with ADS teams and external collaborators. #J-18808-Ljbffr ...

public databases. The role sits at the intersection of biocuration, bioinformatics, and AI-assisted methods. You will extract and structure knowledge from literature, use ontologies, and collaborate to improve curation pipelines for international resources like IntAct and Complex Portal. #J-18808-Ljbffr ...

Center X seeks an ICX Engineer to lead engagements that translate business problems into agentic AI solutions. You will model data landscapes as enterprise ontologies, build agents and ML components, and deliver working demos with clear business value for global customers. You will work with sales and partners, reporting ...

Manager for the EMEA region. You will build and lead a presales FDE engineering team that creates agentic AI solutions grounded in an enterprise ontology, with hands-on capability and a focus on business value. You will recruit, mentor, and scale the team while collaborating with sales and partners ...

Experience using modern AI tools for scientific work, for example large language models, scientific AI assistants and agents, retrieval-augmented reasoning, curated knowledge bases, ontologies, pathway resources or biomedical knowledge graphs. Track record of setting direction across teams without formal authority, mentoring senior AI scientists and shaping the priorities ...

biomedical informatics, computational biology, bioinformatics or a related field. Hands-on experience designing or building structured biomedical knowledge resources, such as knowledge graphs, ontology-aligned databases, curated evidence tables or retrieval-augmented generation systems for scientific literature. Working familiarity with large language models and agentic systems, including how retrieval ...

high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer — knowledge graphs, ontologies, vector search, and semantic retrieval — grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

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 ...

time to value and are comfortable making and articulating product-technical tradeoffs. Nice to have A passion for graph-based systems (e.g. Neo4j) and ontology design Hands‐on experience building data pipelines for LLM training, fine‐tuning, or evaluation, and contributions to open‐source projects, particularly in data or LLMs. … delivers systems. You know lakehouse and data mesh patterns well enough to know when they fit and when they’re overkill. You’ve designed ontologies and data models, and you know that getting them right is as much art as science. What you'll do Build AI systems ...

layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will … analytics and generative AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. ...

layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will … analytics and generative AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. ...

build knowledge graph structures that reflect canonical domain models. Develop and manage graph database schemas, queries, and ingestion pipelines, keeping semantic consistency between ontology definitions and downstream data products. Design and implement embedding pipelines that represent Comply’s financial and regulatory data in vector space. Build and operate vector database … ready data products. What success looks like in your first 90 days You’ve shipped your first semantic layer components into production, turning ontology models into working knowledge graph structures. You’ve stood up or extended embedding and vector infrastructure that a consuming team is actively using for semantic search ...

build knowledge graph structures that reflect canonical domain models. Develop and manage graph database schemas, queries, and ingestion pipelines, keeping semantic consistency between ontology definitions and downstream data products. Design and implement embedding pipelines that represent Comply’s financial and regulatory data in vector space. Build and operate vector database … ready data products. What success looks like in your first 90 days You’ve shipped your first semantic layer components into production, turning ontology models into working knowledge graph structures. You’ve stood up or extended embedding and vector infrastructure that a consuming team is actively using for semantic search ...

hiring engineers to build AI-native enterprise software. You will craft ontology, knowledge graphs and grounding infrastructure so AI agents understand IFS data and reason over it with accuracy. Join a team delivering semantic, scalable AI for complex enterprise environments. You will design and implement MCP servers, knowledge-grounding pipelines ...

design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway. Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate configuration, and citation-enforcement architecture at enterprise scale. Experience leading client-facing technical design ...

design, BTP subaccount structure, and Claude model route governance via MCP connector and Skald Gateway. Proven ability to design and govern GraphRAG knowledge planes: ontology and graph edge construction, domain and provenance tagging strategy, trust gate configuration, and citation‐enforcement architecture at enterprise scale. Experience leading client‐facing technical design ...

platform and advising on technical design decisions. Working with Databricks Genie/AI/BI and conversational analytics capabilities. Helping design the semantic and ontology layer underpinning the solution. Evaluating emerging Databricks capabilities alongside more established semantic modelling and data engineering approaches. Designing and implementing Medallion/Lakehouse architectures. Remaining …/BI Conversational BI Unity Catalog Enterprise data modelling Data governance Scalable data platform design Experience or strong knowledge of the latest Databricks ontology and semantic capabilities would be particularly valuable. Given how quickly some of these capabilities are evolving, we don't necessarily expect candidates to have multiple production ...

clear supporting evidence. This role is open to both senior and mid-level engineers with relevant practical experience. Key Responsibilities Develop RDF models and ontology modules for candidate and vacancy data, including skills, qualifications, and employment history. Preserve source evidence, record changes, and represent conflicting information within the models. Write … with a track record of delivering tested components within a team. Hands-on experience implementing an RDF knowledge graph and designing or extending an ontology in a working system, including SPARQL queries, defining classes and relationships, modelling taxonomies, and applying SHACL constraints. Ability to explain modelling choices and demonstrate handling ...

frontiers of knowledge. You will work with vast, complex, and heterogeneous data - from scientific publications and raw research datasets to biomedical content, citations, metadata, ontologies, taxonomies, knowledge graphs, multilingual content, and domain-specific data across the full spectrum of scientific disciplines. This is AI with purpose: helping researchers advance science … agentic workflows, and scientific knowledge discovery systems. Build and optimise intelligent research and decision-support capabilities using embeddings, retrieval pipelines, prompt engineering, knowledge graphs, ontologies, citation networks, and domain-specific scientific content. Establish robust evaluation, experimentation, and monitoring frameworks for AI and search systems, covering relevance, grounding, hallucination detection, model ...

want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description Build and curate the ontology, knowledge graph and grounding infrastructure that let AI agents understand IFS software and reason accurately over customer data, turning what the platform already knows about … design problems. Build the write path that lets an agent safely change a customer’s operational data. Design and build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry, in partnership with domain ...

want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Build and curate the ontology, knowledge graph and grounding infrastructure that let AI agents understand IFS software and reason accurately over customer data, turning what the platform already knows about itself, plus … design problems. Build the write path that lets an agent safely change a customer’s operational data. Design and build the semantic layer: an ontology and knowledge graph over the product, generated from what the platform already knows about itself and then curated industry by industry, in partnership with domain ...