12 of 12 Remote/Hybrid Ontologies Jobs in the UK

semantic technology. We care more about what you have built and how you approach a problem than a particular tool stack or formal ontology background. You have built a knowledge graph or another connected data application for analytics, content or AI, and can take an idea from domain conversations ...

level stakeholders and aligning technical outcomes with business valueNice to haveExperience applying AI in drug discovery, safety monitoring or clinical development contextsUnderstanding of biomedical ontologies or knowledge graph applicationsKnowledge of regulatory frameworks (FDA, EMA) and experience with data privacy considerationsBackground in computational biology, biostatistics or related scientific disciplineFamiliarity with federated ...

silos and turning it into knowledge that people and machines can meaningfully understand. Graph and Semantics Engineering are emerging enterprise data technologies that use ontologies, advanced analytics and AI to represent knowledge in expressive and innovative ways. Next-generation AI systems powered by knowledge graphs can help organisations manage complexity ...

complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The EBI is part of the European Molecular Biology Laboratory (EMBL ...

complementary patent resource containing chemical structures extracted from patents daily. UniChem links chemical structures across databases. ChEBI is a highly curated database and ontology of compounds of biological interest. OPSIN converts systematic chemical names into chemical structures. The EBI is part of the European Molecular Biology Laboratory (EMBL ...

agent/LLM evaluation (eval datasets, automated and expert-in-the-loop scoring, regression testing). Experience with API integration, retrieval layers, knowledge graphs, ontologies, or semantic search. Daily use of AI coding agents (Claude Code, GitHub Copilot, Databricks AI Assistant) as the primary mode of development. Preferred Experience Prior ...

ability to explain technical decisions and assess different architectural approaches. Confidence taking ownership of projects and guiding other engineers technically. Experience with knowledge graphs, ontologies, recommendation systems, human-in-the-loop learning or LLM fine-tuning would be particularly interesting. You don't necessarily need to have held an Architect ...

data, AI and process challenges into scalable Foundry applications. Key responsibilitiesAct 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 … Skills and experienceSignificant 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 ...

hands-on role: you will work in code and modelling tools every day, use AI assistants to work faster, and partner with research, ontology and data platform teams as well as external partners. We value curiosity, attention to detail, and a positive mindset. This role offers you the chance … with database technologies and data integration concepts. - Ability to write clear documentation and communicate with technical and non-technical colleagues. - Working knowledge of biomedical ontologies and standards such as NClt, MONDO, EFO, GO, ChEBI, CDISCPreferred Qualification If you have the following characteristics, it would be a plus: - Understanding of data ...

products centered on entity resolution, symbology and knowledge graph capabilities, and you will work close to the detail. That means defining data models and ontologies, writing requirements, working through data quality problems, validating solutions with engineering and getting capabilities into production. You will lead through influence rather than line management. … identifier mapping, corporate hierarchies and ownership, and the knowledge graph that connects them. Get hands-on with the data. Define entity and relationship models, ontologies and metadata standards; profile and investigate data; shape matching and linkage logic; and write detailed requirements and acceptance criteria. Build deep expertise in Fitch ...

agent systems covering planning, delegation, tool use, safety constraints and monitoring Build retrieval pipelines: embeddings, vector stores, RAG and semantic search Apply knowledge modelling (ontologies, knowledge graphs) to improve reasoning and data alignment Integrate AI systems with enterprise platforms through APIs, tools and connectors Set the technical direction on your … grade workflows Experience with at least one cloud AI ecosystem: Azure OpenAI, Google Vertex AI, AWS Bedrock or Anthropic Working knowledge of semantic modelling, ontologies or knowledge graphs Ability to turn open-ended business problems into working prototypes quickly Comfortable in client-facing delivery, ideally within a consultancy Desirable Domain ...

Technology role leads the diagnosis, design and implementation of R&D's data foundations across its seven core elements - data quality, ontology, governance and ownership, data discovery, access and authorization, data integration and platforms, and data products. You will map end-to-end data journeys, identify systemic pain points … through to implementation. · Experience developing business cases, including articulating impact, effort, and feasibility trade-offs. · Working knowledge of data management concepts across data quality, ontology, governance and ownership, data discovery, access and authorization, data integration and platforms, and data products. · Strong communication, facilitation and influencing skills across technical ...