1 to 25 of 30 Ontologies Jobs in England

equivalent). ● Familiarity with graph-RAG patterns — using graph traversal, community detection, or subgraph retrieval to provide relational context to LLMs. ● Understanding of ontology design and entity resolution for financial entities (counterparties, instruments, legal entities). Structured Data & Databricks (must-have) ● Production experience with Databricks — Delta Lake, Unity Catalog, Spark ...

Google Cloud) Experience with continuous integration and testing frameworks Familiarity with text mining or AI-assisted data extraction tools Experience working with ontologies or controlled vocabularies Experience with Python web frameworks such as Django, Django REST Framework, or FastAPI Apply now! Benefits and Contract Information Financial incentives: depending on circumstances ...

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 ...

Data product manager. Develop conceptual models representing the sub/super domain business model. Ensure the conceptual model is created with Meta Model/Ontology and/or Knowledge Graph utilization. Develop logical and physical data models to meet the Data product requirements through the means of business use cases ...

agentic systems, LLMs, and AI-driven architectures Experience with AI search (vector databases, hybrid search, GraphRAG) is highly desirable Familiarity with knowledge graphs, ontologies, or complex data modelling Strategic & Commercial Thinking Experience making build vs buy and technology investment decisions Ability to evaluate and integrate third-party tools, platforms ...

Knowledge of UML, RDBMS, JSON/XML* Knowledge/experience of Erwin Desirable: * Knowledge of industry data standards (e.g. fpML, FIX, FIBO)* Experience with ontologies (RDF/OWL/TTL)* SQL and/or Python If interested please apply. To follow up on your application please email or drop ...

datasets for reporting, analytics and business intelligenceWrite and optimise SQL queries, views and transformations to support downstream reportingSupport the design of logical data models, ontologies and business data definitionsEnsure data quality, integrity and consistency across systems and reporting outputsCollaborate with stakeholders to translate business requirements into scalable data solutionsPrepare clean ...

Build capability - Define and scale the firm's Decision Science practice. Create modelling frameworks, reusable components, and decision accelerators. Shape how modelling integrates with ontologies, semantic data platforms, and AI agents. Design decision systems - Go beyond modelling to architect end-to-end decision systems combining data pipelines, ML models, business ...

Full-Stack Ownership: Rebuild the entire manufacturing software stack from scratch. Jump between manufacturing execution systems (MES), AI agents for quoting, data ontology work, and UX. Architect & Deploy: Architect, design, and develop critical systems for factory automation, real-time data processing, machine learning, and real-time monitoring. Factory-First Impact ...

Palantir Foundry–based solutions, from problem definition to production Design and implement data pipelines and transformations across diverse data sources Model data using Foundry Ontology concepts to support analytics and operational use cases Build scalable, reliable solutions using Python, SQL, and PySpark within Foundry Collaborate closely with business stakeholders … skills in Python and SQL ; PySpark experience required Hands-on experience with Palantir Foundry , including: Pipeline Builder/Code Workbook Data integration and transformation Ontology modelling and data lineage Solid understanding of data architectures , including data lakes, lakehouses, and data warehouses Experience working with APIs, databases, and structured/semi ...

team responsible for supporting the Firmwide data publishing strategy and driving the adoption of the strategy across the firm. As a Vice President – Ontology, you will have the opportunity to work on the JP Morgan Chase team shaping our knowledge representation and data publishing standards. Your role will involve utilizing … ontologies and taxonomies to enhance data interoperability and management, preparing our data for AI applications. Your responsibilities will range from engaging with and educating domain experts to assessing data standards and developing our organization-wide ontology. We are looking for someone with an understanding semantic technologies, ontologies, or a related ...

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 ...

delivery structures Driving enterprise adoption and transition to BAU The programme is centred around enabling a skills-based organisation , including: Skills taxonomy/ontology and intelligent job architecture Talent marketplace and internal mobility AI-driven skills inference and workforce insights Integration across the full Talent lifecycle (hire → develop → deploy) Data ...

their implementation ofSuccessFactors. You will also have opportunities to support clients in embedding skills-based hiring , leveraging SAP Talent Intelligence Hub (TIH), Skills Ontologies and skills metadata to optimise job design, sourcing, screening and internal mobility workflows. This role combines hands-on configuration, solution design, client advisory and the opportunity ...

SuccessFactors to design innovative, future-ready solutions — from traditional talent modules (Performance & Goals, Career & Succession, LMS) to in-demand capabilities such as Skills Ontologies, Growth Portfolios, and Talent Intelligence use cases. In addition to deep product knowledge, this role offers opportunities to lead functional workstreams and small delivery teams ...

SuccessFactors to design innovative, future‐ready solutions — from traditional talent modules (Performance & Goals, Career & Succession, LMS) to in-demand capabilities such as Skills Ontologies, Growth Portfolios, and Talent Intelligence use cases. In addition to deep product knowledge, this role offers opportunities to lead functional workstreams and small delivery teams ...

Core Responsibilities Foundry Solution Delivery Contribute to solution design and implementation across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (objects, relationships, basic semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Implement data modelling … Deployment or promotion through environments, Operational support and troubleshooting. Experience dealing with Performance issues or optimisation tasks, Permissions and basic security models, Schema/ontology changes and their impact on downstream use cases, Integration problems and incident recovery in collaboration with senior staff. Some client-facing experience (e.g. workshops, demos ...

cases, net-zero targets. Experience with Future-Proofing: Designing flexible infrastructure that can adapt to future technological advancements. Desirable Experience: Exposure to open-source ontologies and smart building frameworks (e.g. Brick, Project Haystack, DBO) Experience of designing or working with or implementing a digital twin, analytics platforms, or middleware (e.g. ...

most advanced data operating systems in the world. Key Responsibilities Lead the end-to-end architecture of Palantir, 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 for clinical and operational domains. Design scalable … transform patterns, DRY architecture, no circular dependencies). Integrate structured, unstructured, streaming, and device/IoT datasets using Foundrys ingestion and connector frameworks. Build ontology-driven data products, KPIs, data marts, and analytical frameworks for clinical pathways, care coordination, workforce planning, and command-centre operations. Implement robust security, classification ...

migrations from Palantir Foundry to Databricks. This role will drive the strategic design, migration, and optimization of the enterprise data ecosystem, transitioning data pipelines, ontologies, and transformation workflows from Palantir Foundry to a scalable Databricks Lakehouse architecture. The successful candidate will provide architectural leadership and technical direction, ensuring data integrity … migration roadmap from Palantir Foundry to Databricks, including target architecture, data models, security, and governance frameworks. Analyze existing Foundry pipelines, datasets, and ontologies, and redesign them into scalable Databricks (Delta Lake) ETL/ELT workflows using PySpark and SQL. Implement validation frameworks to ensure complete data accuracy, consistency, and lineage ...

Data Modelling Lead, Associate Director - Insurance Location: London or ManchesterBusiness Line: Technology & TransformationJob Type: Permanent/FTC Lead the Future of Data in InsuranceA leading global professional services organisation is seeking experienced Senior Data Modellers ...

genuine ownership of the platform architecture, not just lead from a distance, but design and build alongside the team. You'll be responsible for ontology design, data pipeline architecture, and data modelling from scratch, while guiding a team of engineers through implementation and acting as the technical authority with … bring: Deep, hands-on Data Architecture experience, you’ve designed and built complex data platforms yourself, not just directed others. Proven ability to design ontologies from the ground up within large or complex environments. Strong data modelling skills across conceptual, logical, and physical layers. End-to-end data pipeline architecture ...

human in the loop oversight. Collaborate with platform and engineering teams to align Sensa Investigation capabilities with the underlying AI platform, data fabric, ontologies, and workflow engines. Product Execution & Delivery Translate strategy into clear, prioritized product roadmaps, epics, and user stories with crisp acceptance criteria and measurable outcomes. Lead backlog … related field. Nice to Have Experience with Agentic AI frameworks, multi‐agent orchestration, tool‐calling, or workflow engines. Background in data platforms, knowledge graphs, ontologies, or case/intel fusion systems. Hands‐on technical background (e.g., engineering, data science, or analytics) or strong technical literacy. Prior experience at a regtech ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design ...

responsibilities will include: Curating molecular interaction and complex information from the scientific literature and direct user data depositions Capturing biological knowledge using controlled vocabularies, ontologies, and community data standards Validating and improving data extracted through AI-assisted literature mining tools Collaborating with software developers to improve biocuration tools and curation … team Excellent communication, interpersonal, and English language skills You may also have Experience with biocuration and/or annotation of biological databases Experience with ontologies and controlled vocabularies (e.g. Gene Ontology or PSI-MI) Experience using bioinformatics tools or scripting languages (e.g. Python or R) Experience in text mining, natural ...