13 of 13 Permanent Ontologies Jobs in London

least 5 years in senior leadership roles. Proven expertise in building and managing cheminformatics platforms and data ecosystems. Deep understanding of data architecture principles, ontologies, and modern data stack technologies (cloud-native, API-first, microservices). Hands-on experience with ML/AI model integration into cheminformatics workflows. Strong track ...

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 ...

with data modelling tools like SparX, Erwin or similar -Skills in SQL and Python is nice to have but not essential -Experience with curating ontologies and experience with OWL/TTL/RDF is preferred APPLY BELOW ...

looking for a Junior Data Engineer with 1-2 years of experience with Python data pipelines. The ideal candidate will also have Graph and Ontology Skills. Experience with RDF Data Formats is also a bonus! This role will be based on client's sites, usually in London ...

looking for a Junior Data Engineer with 1-2 years of experience with Python data pipelines. The ideal candidate will also have Graph and Ontology Skills. Experience with RDF Data Formats is also a bonus! This role will be based on client's sites, usually in London ...

pipelines (CI/CD for ML) and deploy models seamlessly into production environments using specialised tools like MLflow, DVC and Feast. Advanced Data Modelling (Ontology & Knowledge Graphs): Lead the design and implementation of data ontologies and knowledge graphs using graph databases (e.g., Neo4j, Neptune) to model complex biological and operational ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

systems Strong background in working with Government customers DV Cleared Within this role, you will be responsible for: Design, build, and maintain data pipelines, ontologies, and application components that power advanced analytics and AI workflows Build robust, scalable data pipelines and integration workflows across diverse systems. Design and implement logical … data models, ontologies, and schemas aligned to client problem sets Develop secure, production‐grade data transformations and operational workflows Work directly with client stakeholders to understand requirements and deliver high‐value outcomes Partner with strategic advisory and enablement teams to ensure cohesive project execution Contribute to managed service support, troubleshooting ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You’ll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you’ll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

move data, but structure it properly - modelling entities, relationships, and constraints so downstream AI systems can reason over it. You'll work closely with ontology specialists, knowledge graph engineers, and AI engineers to ensure data is semantically aligned, observable, and production ready. What you'll be doing Designing and owning … skills, with hands-on pipeline ownership Experience working with cloud data platforms (AWS, Azure, or GCP) Exposure to semantic modelling, knowledge graphs, or ontology-aligned data (depth can vary, mindset matters most) Comfortable working in ambiguous, client-facing environments with high ownership ...

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 ...

platforms, Agentic systems & Insights Build a scalable AI platform with shared assets that reduce maintenance overhead and accelerate model delivery, standardizing adoption through APIs, ontologies and knowledge graphs while incubating an agentic AI marketplace for seamless reuse and stronger AI ROI. In parallel, deliver AI‐powered, client‐specific 360° insights … intelligent coverage agents to identify acquisition, cross‐sell and upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated ...