25 of 25 Permanent Ontologies Jobs in the UK

Palantir Foundry solutions for scale and complexity, ensuring they provide maximum value across diverse teams and consumers, particularly through the development of the Foundry Ontology Develop logical and physical data modelling and governance strategy within Palantir Foundry, establishing standards across teams and ensuring data quality and lineage. This represents ...

quality governance practices Experience working with stakeholders to capture requirements, user stories and covert them into development deliverables Advantages Familiarity with semantic graph or Ontology-Driven triple stores Previous experience with LLM driven solutions and NLP practices Experience in Banking or Financial Services SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion ...

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 ...

opportunities to stakeholders Work closely with global partners, including teams based in the US Minimum Requirements 2+ years’ experience developing taxonomies and/or ontologies for front-end and back-end systems Hands-on experience building taxonomies for e-commerce or product catalogs Strong experience researching, defining, and managing taxonomy ...

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 ...

with engineers and ML partners to support classification systems Provide regular status updates to stakeholders Required Experience 2+ years developing taxonomies and/or ontologies Experience supporting front-end and back-end systems Ecommerce or catalog taxonomy exposure Strong attention to detail and structured thinking Confident communicator in distributed teams ...

classification, annotation, and model output evaluation Communicate progress clearly and proactively with stakeholders Required: 2+ years’ experience developing taxonomies and/or ontologies for front-end and back-end systems Experience working with ecommerce platforms or large product catalogs Strong understanding of taxonomy principles, classification standards, and governance Excellent attention ...

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 ...

automated integration and validation, supported by clear documentation. Skilled in adopting new tools, techniques, and methodologies to improve efficiency and sustainability. Knowledgeable in ontologies and domain-specific languages for structured data representation. Competent in C and C++ programming. Working familiarity with DDS middleware and real-time operating systems. Understanding ...

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 ...

Role : Data Scientist : Graph database and ontology specialist We are seeking a Data Scientist with deep expertise in Knowledge Graphs and Ontologies and the ability to work across domains. You will design and deploy production-grade graph solutions that model relationships not only between UAVs, missions, and sensors, but across … delivery. Your work will provide a transversal view of how data and processes interconnect, powering insights and decision-making across the organization. Key Responsibilities Ontology Design & Management: Design and maintain scalable ontologies to unify mission data, sensor outputs, flight logs, and operational parameters. Graph Engineering (Neo4j): Implement, optimize, and operate ...

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 ...

architectures, including planning, delegation, tool use, safety constraints, and monitoring. Develop retrieval and vector-based systems, embeddings, semantic workflows, and structured reasoning pipelines. Apply ontology and knowledge modeling literacy to support precise reasoning and data alignment. Integrate AI systems with APIs, tools, and enterprise connectors. Develop scalable prompt engineering solutions … agent system design and orchestration (planning, delegation, tool integration). Evaluation frameworks, safety checks, and monitoring pipelines. AI Ops/observability experience. Familiarity with ontologies or semantic reasoning (literacy required). Critical Distinction: Candidates must be able to explain architectural trade-offs, discuss failure modes, demonstrate evaluation and reliability practices ...

scientific content analysis Information Science & R&D Support Support biomedical and pharmaceutical R&D teams with structured, high-quality information Work with metadata, ontologies, and scientific knowledge systems to ensure data usability and reuse Governance & Compliance Ensure adherence to copyright, licensing, and data governance standards Maintain data integrity, transparency … data science, bioinformatics, or similar Experience or strong interest in: NLP & LLMs (e.g. transformers, RAG, prompt engineering) Python for text analytics Knowledge graphs and ontologies Familiarity with data visualisation and scientific communication tools Ways of Working Strong stakeholder and cross-functional collaboration skills Comfortable working in fast-evolving, tech-driven ...

agents, webhooks) to support different partnership and customer models. Build Knowledge Graph Systems Transform flat parts catalogs into semantic networks using AWS Neptune. Design ontologies that capture ACES (fitment) and PIES (attributes) standards for heavy equipment. Build ingestion pipelines that parse customer data and extract compatibility relationships. Implement graph traversal … graph data to prevent hallucination on critical fitment recommendations. What We're Looking For Graph & Semantic Systems Experience with graph databases (Neptune, Neo4j) and ontology design Ability to model complex domain relationships as graph structures, not tables Understanding of semantic query languages (Gremlin, SPARQL) and entity resolution Backend Engineering & Data ...

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 ...

scientific literature Experience or strong interest in NLP and LLM technologies (transformers, RAG, prompt engineering) Python and AI frameworks for text analytics Knowledge of ontologies, knowledge graphs and semantic technologies Confident communicator who enjoys working with diverse stakeholders Curious, adaptable and comfortable in a fast-evolving environment Why apply? Work … Natural Language Processing (NLP), Large Language Models (LLMs), Machine Learning, Text Analytics, Literature Mining, Retrieval Augmented Generation (RAG), Prompt Engineering, Python, Knowledge Graphs, Ontologies, Semantic Technologies, London, Slough, Reading, Oxford, VRS9353SE ...

Role : Data Scientist : Graph database and ontology specialist We are seeking a Data Scientist with deep expertise in Knowledge Graphs and Ontologies and the ability to work across domains. You will design and deploy production-grade graph solutions that model relationships not only between UAVs, missions, and sensors, but across ...