26 to 50 of 72 Ontologies Jobs in London

person on site Nice to Haves You\'ve done this at a field-heavy data or AI company Experience with knowledge graphs, semantic layers, ontologies, or entity resolution Deployments into regulated or air-gapped environments (financial services, insurance, telco, public sector) Enough Python or SQL to prototype in front ...

loosely-joined ones. Map the data estate: work alongside the customer's quants, data owners and domain specialists to understand the estate and its ontology, and the opportunities to leverage that data. Quantify the gains: size the gains in latency, throughput, scalability and cost credibly enough to survive the customer ...

Responsibilities Define and maintain current and target‐state enterprise data architectures. Develop conceptual, logical, and physical data models. Establish enterprise data domains, canonical models, ontologies, semantic layers, and metadata frameworks. Create data architecture roadmaps aligned to business and digital strategy. Drive data governance, lineage, quality, observability, and master data management … mentoring architects, analysts, and data teams. Essential Skills & Experience Strong enterprise‐level Information or Data Architecture experience. Expertise in data strategy, governance, metadata management, ontologies, knowledge graphs, and semantic modelling. Experience designing end‐to‐end data architectures across complex organisations. Strong Azure data platform experience, including Databricks. Experience delivering large ...

engineer to join a real-time intelligence platform used by defence, national-security and NATO-aligned organisations across Europe. You will design pipelines, ontology and applications that bring live intelligence together with customers’ data and own the result from whiteboard to production. You will work with users to define what ...

GNPS, MassBank, MoNA) Scripting ability in Python for developing algorithms and Nextflow/Snakemake for building pipelines Familiarity with utilizing relational database schemas and ontologies to host and structure the variety of datatypes and datasets you will encounter What We Value Ability to intuitively interpret and assess mass spectrometry data ...

governance communications, learning materials and practical resources that make responsibilities easy to understand and apply. Governance Solutions and Metadata Coordinate the creation of business ontology by capturing and maintaining business definitions, ownership, stewardship, classifications, critical data elements and other governance metadata. Partner with the Data Platform team, which owns technical ...

role focused on Palantir Foundry for a real-time intelligence platform used by defence and NATO-aligned organisations across Europe. You will design pipelines, ontology and operator-facing applications, owning the end-to-end delivery from first sketches to production. The role involves collaborating with users on situational awareness, shipping ...

contract drafting, review, and negotiation AI powered by your legal knowledge. We turn a firm's guidance, precedent, and language into a legal ontology, ground our models in it, and run complex drafting, review, and search workflows directly within Microsoft Word and in the browser. We serve top law firms ...

Data-as-a-Service as a real product — a secure, multi-tenant, immutable release architecture, with data made discoverable at scale through catalogue and ontology-driven search, in partnership with the data team. Powering agentic AI from the data platform — scaling the data foundations behind MystraAI and owning secure, tenant ...

high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer - knowledge graphs, ontologies, vector search, and semantic retrieval - grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

100. Talk to customers and partners to find the problem worth solving, not just to validate a solution. Own the Global Product Graph — the ontology, the data, and the workflows that keep it accurate. Develop the insurance intelligence on top of it: product scoring, compliance evaluations, and what "good" means ...

Reply is seeking a Data and Knowledge Graph Engineer to design and build semantic layers, ontologies and knowledge graphs that connect data, systems, applications and AI solutions. You will own end-to-end technical design from discovery to production, creating robust foundations for integration, governance, analytics and generative AI. Responsibilities ...

platform. You will collaborate with platform teams and client estates in a hybrid setup combining offices, client sites, and remote work. You will own ontology, graph pipelines, embeddings, and retrieval, ensuring data governance, security, and scalable performance. The role emphasizes production readiness and measurable improvements in AI tooling. #J ...

Builds and maintains APIs/integration layers exposing graph data to downstream consumers (including the chatbot) Collaborates with the Knowledge Graph Architect to implement ontology, knowledge and schema changes as code Supports performance tuning, indexing, and scaling of the Neo4j instance Automates data refresh and synchronisation processes between source systems ...

tune – Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

tune – Codify the firm's unwritten methods and judgements into the coworkers and playbooks that run at machine speed. Anchor them through the ontology and semantic layers in Celeste so the agents reason the way its own people do. Earn adoption – Lead the actions that earns Celeste's adoption, from ...

time-series and multimodal data, simulation and world models, trustworthy decision-support agents and staged autonomy, and AI-native approaches to industrial data foundations, ontology learning, and evaluation. This is a hands-on role for someone who thrives in uncertain problem spaces, works with high autonomy, and finds practical ways ...

high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms Own the architecture of the enterprise context layer knowledge graphs, ontologies, vector search, and semantic retrieval grounding the solution in client knowledge Set the design direction for context assembly and memory that manages prompts, context windows ...

Modelling Integrate semantic layers with business glossaries, data catalogues, and lineage tooling Design and maintain semantic models to support agentic-AI capabilities Help develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and search Define semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data … Good Python skills, API integration, automation Practical Snowflake and Databricks experience including Cortex AI and Genie Working knowledge of OWL, RDF, SPARQL and enterprise ontology design Experience with at least one agentic AI framework GitHub Copilot or equivalent AI coding assistant experience in a professional setting Financial services background preferred ...

solutionsSemantic & Knowledge ModellingIntegrate semantic layers with business glossaries, data catalogues, and lineage toolingDesign and maintain semantic models to support agentic-AI capabilitiesHelp develop ontologies, taxonomies, and controlled vocabularies underpinning enterprise metadata and searchDefine semantic modelling standards and patterns to ensure consistent meaning, interoperability, and AI readiness across data productsGuide … with dbt LabsGood Python skills, API integration, automationPractical Snowflake and Databricks experience including Cortex AI and GenieWorking knowledge of OWL, RDF, SPARQL and enterprise ontology designExperience with at least one agentic AI frameworkGitHub Copilot or equivalent AI coding assistant experience in a professional settingFinancial services background preferred; BCBS 239 awareness ...

layers that give organisations a single, shared and machine-readable understanding of their business. You will work across diverse industries, translating complex domains into ontologies and knowledge graphs that connect data, systems, applications and AI solutions. From discovery and modelling through to production, you will … analytics and generative AI. Responsibilities: Facilitate discovery workshops with business and technical stakeholders to understand and model key domains. Design, build, and maintain scalable ontologies, taxonomies, and semantic models that reflect complex business concepts. Develop and operate knowledge graphs end-to-end, including data ingestion, mapping, and entity resolution pipelines. ...

will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. As a Higher Scientist, you will collaborate … experienced Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations/graphs, and have an appreciation of how the subject is being researched, how it can be implemented through software tools ...

rely on — in the field or in an operations centre. The heart of the work is Palantir Foundry . You design the pipelines, the ontology and the applications that bring live intelligence together with the customer's own operational data — sensor feeds, asset and unit positions, mission context … matters most to them in situational awareness and force protection, then scoping solutions against it. Designing, building and deploying on Palantir Foundry — data pipelines, ontology models and operator-facing applications. Bringing live intelligence into the workflows, common operating pictures and command-and-control tooling already in use, so that people ...

model. We will decide which with you, based on where your strengths land.**What you will own*** The knowledge graph in production: implementing the ontology and schema, entity resolution, and the pipelines that build and refresh the graph from client estates* Graph retrieval as a first-class capability: traversal patterns … will need*** Production data engineering: Python, SQL, and a pipeline orchestration framework, running systems that other people depend on* Graph engineering depth: schema and ontology modelling, a production graph database (Neo4j or comparable), and fluency in a graph query language* Entity resolution at real-world quality: matching people, organisations, policies ...

data models, schemas and flows across multiple enterprise systems Identify entities, relationships and metadata across complex datasets Synthesise schemas and define taxonomy and ontology requirements Define how enterprise data could feed a knowledge graph Assess data quality, ownership, governance and integration requirements Help shape the future data architecture and implementation … roadmap Work directly with data owners, architects and technical stakeholders Experience required Strong enterprise data architecture and data modelling experience Knowledge graphs, ontologies and taxonomies Complex data integration and metadata Experience within Azure environments Strong stakeholder engagement in large enterprise environments Experience in regulated industries is highly desirable Exposure ...