8 of 8 Ontologies Jobs in Berkshire

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 ...

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 ...

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 ...

looking for a new role as an External Information Solutions Lead? Do you have a deep understanding of the data lifecycle, metadata, ontologies and scientific knowledge systems? Are you also experienced in FAIR data principles and semantic technologies, ensuring data is structured for scientific use? If so, please click apply … materials, all grounded in information science best practices can compliance. Technical and Professional Competencies: Information Science Expertise Deep understanding of the data lifecycle, metadata, ontologies, and scientific knowledge system. Experience with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and semantic technologies, ensuring data is structured for scientific use. Proven ability ...

looking for a new role as an External Information Solutions Lead? Do you have a deep understanding of the data lifecycle, metadata, ontologies and scientific knowledge systems? Are you also experienced in FAIR data principles and semantic technologies, ensuring data is structured for scientific use? If so, please click apply … materials, all grounded in information science best practices can compliance. Technical and Professional Competencies: Information Science Expertise Deep understanding of the data lifecycle, metadata, ontologies, and scientific knowledge system. Experience with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and semantic technologies, ensuring data is structured for scientific use. Proven ability ...

looking for a new role as an External Information Solutions Lead? Do you have a deep understanding of the data lifecycle, metadata, ontologies and scientific knowledge systems? Are you also experienced in FAIR data principles and semantic technologies, ensuring data is structured for scientific use? If so, please click apply … materials, all grounded in information science best practices can compliance. Technical and Professional Competencies: Information Science Expertise Deep understanding of the data lifecycle, metadata, ontologies, and scientific knowledge system. Experience with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and semantic technologies, ensuring data is structured for scientific use. Proven ability ...

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. ...