19 of 19 Ontologies Jobs in London

embeddings that unify text, geometry, schedules, and metadata. Implement continuous-learning loops using simulation outputs and field feedback. Lead research on construction knowledge representation, ontology design, and explainable reasoning. Collaborate with platform and simulation engineers to integrate models into wider platform Design multi-agent reasoning systems powered by a shared ...

embeddings that unify text, geometry, schedules, and metadata. Implement continuous-learning loops using simulation outputs and field feedback. Lead research on construction knowledge representation, ontology design, and explainable reasoning. Collaborate with platform and simulation engineers to integrate models into wider platform Design multi-agent reasoning systems powered by a shared ...

projects. Key Highlights: Lead strategy and engineering for Palantir Foundry adoption Mentor engineers and influence data architecture across high-consequence programmes Build and optimise ontologies, pipelines, and semantic models Apply strong data engineering skills (Python, SQL, PySpark) Bring cloud expertise (AWS, Azure, or GCP) and proven team leadership ...

analytics solutions by driving data productisation, enterprise & cross-portfolio modelling, business rule definition, Azure data lake maturity, data quality assurance and advanced concepts like ontology and data mesh. Your work will support large-scale trading and supply programmes, working closely with trading managers and architecture lead across Europe ...

analytics solutions by driving data productisation, enterprise & cross-portfolio modelling, business rule definition, Azure data lake maturity, data quality assurance and advanced concepts like ontology and data mesh. Your work will support large-scale trading and supply programmes, working closely with trading managers and architecture lead across Europe ...

across wind, solar, and storage. It creates a structured understanding of each asset by linking operational data, commercial contracts, and regulatory rules through an ontology-led intelligence layer. This gives owners and managers clear, reliable answers on obligations, performance, risks, and required actions. Amplytic also automates the routine work that ...

become mission-critical (reference examples: major aerospace, mining, insurance, healthcare systems, or government programmes) Deep Foundry technical expertise across the full stack: Pipeline Builder, Ontology, Workshop, OSDK, Code Repositories, Actions, and AIP/agentic capabilities - you can build production-grade applications not just prototypes Production deployment experience including performance optimisation ...

TensorFlow (plus scikit-learn) Data exploration & quality : EDA, visualisation (matplotlib/plotly), dataset profiling, class balance, outliers Labelling workflows : hands-on annotation and ontology work, label QA (inter-annotator agreement), confidence scoring, audit trail mindset Pipeline building : reproducible pre-processing and training pipelines (not necessarily Kubernetes), eg Python pipelines, Airflow ...

process challenges into scalable Foundry applications. Key responsibilities Act as lead architect for Foundry, owning solution design from ingestion and pipelines through Ontology, applications and AI use cases. Translate business problems into Foundry use cases, technical designs and deliverable roadmaps. Design and oversee data pipelines, Ontology models, security and governance … experience Significant hands-on experience delivering Palantir Foundry solutions in complex client environments. Deep Foundry technical expertise across the full stack: Pipeline Builder, Ontology, Workshop, OSDK, Code Repositories, Actions and AIP or agentic capabilities, able to build production-grade applications not just prototypes. Strong proficiency in at least one relevant ...

process challenges into scalable Foundry applications. Key responsibilities Act as lead architect for Foundry, owning solution design from ingestion and pipelines through Ontology, applications and AI use cases. Translate business problems into Foundry use cases, technical designs and deliverable roadmaps. Design and oversee data pipelines, Ontology models, security and governance … experience Significant hands-on experience delivering Palantir Foundry solutions in complex client environments. Deep Foundry technical expertise across the full stack: Pipeline Builder, Ontology, Workshop, OSDK, Code Repositories, Actions and AIP or agentic capabilities, able to build production-grade applications not just prototypes. Strong proficiency in at least one relevant ...

Responsibilities Foundry Solution Design & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement … Solution architecture, Deployment strategy, Operational runbook and handover Demonstrable enterprise experience with Performance bottlenecks at scale, Complex permissioning/security models, Schema and ontology evolution, Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite including technical steering sessions and design reviews. Technical Skills ...

Responsibilities Foundry Solution Design & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement … Solution architecture, Deployment strategy, Operational runbook and handover Demonstrable enterprise experience with Performance bottlenecks at scale, Complex permissioning/security models, Schema and ontology evolution, Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite including technical steering sessions and design reviews. Technical Skills ...

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 ...

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 (eg workshops, demos ...

Senior DataOps Engineer (Active SC Clearance) You must hold active and current SC Clearance , be a UK sole nationality and have UK Residency. Location: Remote/hybrid with occasional travel to offices (North and South ...

world around them better through the use of Data and AI. What You’ll Do Design and structure core scientific data domains Develop scalable ontologies for modeling and integration Work closely with engineering, product, ML, and scientific users to align business needs and modeling semantics. Define standards for platform-wide … data systems What We’re Looking For 7+ years in data modeling, semantic architecture, or ontology engineering Experience with scalable knowledge systems and integration across domains Hands-on with knowledge graphs, schemas, or structured data APIs Interest or experience in LLM-based interaction with structured data. Python, graph modeling ...

world around them better through the use of Data and AI. What You’ll Do Design and structure core scientific data domains Develop scalable ontologies for modeling and integration Work closely with engineering, product, ML, and scientific users to align business needs and modeling semantics. Define standards for platform-wide … data systems What We’re Looking For 7+ years in data modeling, semantic architecture, or ontology engineering Experience with scalable knowledge systems and integration across domains Hands-on with knowledge graphs, schemas, or structured data APIs Interest or experience in LLM-based interaction with structured data. Python, graph modeling ...

data models that reflect operational processes and user needs. Working closely with internal teams and a specialist third party supplier, you will shape ontology design, contribute to platform documentation, and support wider engineering decisions that improve how data is structured, accessed, and utilised across secure environments. One position requires three … with occasional on-site commitments. Key Skills and Experience Active DV clearance (essential) Strong background in Palantir engineering across SEQ, application workflows, forms, and ontology development Experience turning complex requirements into usable data models, structured workflows, and well documented design outputs Ability to collaborate with multiple technical and non technical ...

frameworks, and evaluation loops. Multi-agent architectures , including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems , embeddings, structured reasoning, and semantic workflows. Ontology & knowledge modelling literacy , enabling more precise reasoning and data alignment. Integrations & automation , including API workflows, tools, and enterprise connectors. Skills: 6-8 years in Software … grade workflows. Experience with at least one cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, Anthropic, AWS etc.). Familiarity with semantic modelling, ontologies, or knowledge graph thinking - literacy required, mastery a bonus. ...