1 to 25 of 162 Ontologies Jobs in England

data transformation programmes Strong knowledge of metadata management, master data management, and enterprise data design principles Experience producing architecture artefacts including ERDs, data dictionaries, ontologies, taxonomies, and star schemas Strong stakeholder management and communication skills with the ability to influence technical and non-technical audiences Experience supporting data migration, analytics ...

London | Hybrid | AI-Native Consulting Environment Our client is a fast-growing, AI-native, engineering-led consultancy building advanced semantic, ontology-driven and agentic AI systems. As they deepen their data engineering capability, they are seeking a senior-level Data Engineer to design and operate high-fidelity, ontology-aligned data … structured, semantically coherent knowledge that underpins intelligent systems. The Purpose of the Role You will build production-grade data pipelines explicitly aligned to ontologies and semantic models. Your work will ensure that entity definitions, relationships, taxonomies and domain constraints are faithfully represented in data flows, making them reasoning-ready ...

/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/CD, infrastructure-as-code or other modern software-engineering practices About Us Tropic is one of the world’s leading agricultural ...

usability. Valuable additional experience Production AI/ML or generative-AI data architecture, including RAG, embeddings, vector search or model-data pipelines. Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies. Databricks or cloud architecture/data-engineering certification. Tools such as dbt, Kafka, Airflow, Terraform, Power BI, Tableau ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

usability. Valuable additional experience Production AI/ML or generative-AI data architecture, including RAG, embeddings, vector search or model-data pipelines. Knowledge graphs, ontologies, RDF, linked data or advanced semantic technologies. Databricks or cloud architecture/data-engineering certification. Tools such as dbt, Kafka, Airflow, Terraform, Power BI, Tableau ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

state assessments, architecture diagrams, data inventories and maturity assessments. Define the high-level target data architecture, technology stack and governance framework. Contribute to data ontology design for AI/analytics use cases and the overall data strategy roadmap. Present findings and recommendations to senior client stakeholders and support stakeholder sign ...

lineage and constraintsEnsure requirements include data quality, metadata and governance needs (e.g. definitions, business rules, reference data, retention)Contribute to and consume business glossaries, ontologies and data catalogues to ensure consistent terminology and understandingHelp ensure AI use cases comply with data privacy, security and regulatory requirements (e.g. GDPR, sector specific ...

data integration, analytics, and data security. Advanced knowledge of conceptual, logical, and physical data modelling. Experience producing architecture artefacts including ERDs, data dictionaries, taxonomies, ontologies, and enterprise data models. Strong understanding of data management disciplines including master data management and metadata management. Experience working with relational databases, APIs, transactional systems ...

generative AI solutions. Experience with agentic development patterns, including tool use, workflow orchestration, and evaluation of agent behavior. Experience with semantic layers and ontology design, including defining consistent business concepts, relationships, and metadata for analytics and AI use cases. Relevant AWS AI certifications, such as AWS Certified AI Practitioner ...

streaming responses, async inference jobs, and robust error/retry semantics. Palantir Foundry Integration Work with Palantir Foundry to build and maintain data pipelines, ontologies, and integrations that connect backend services to Foundry-based analytics and workflows. Leverage Foundry's APIs and tooling to support data modelling, transformation, and secure ...

platform evolution by onboarding new sources, refining deployment templates/workflows, and mentoring engineers on engineering standards. Designing and maintaining a business data ontology with canonical entities, relationships, and shared vocabulary. Stakeholder Engagement & Communication Build and maintain trusted relationships with business stakeholders, data product owners, and reporting teams – acting ...

Python‐based ML ecosystems) sufficient to credibly validate solution feasibility. Solid understanding of data management for AI, including data quality, metadata, taxonomies/ontologies, tagging of unstructured content, and implications for model performance and governance. Experience designing AI solutions for process optimization, knowledge management (policies/procedures), and decision support ...

Schema & Pipeline Engineering: Develop and maintain end-to-end multi-stream ingestion pipelines for complex clinical trial schemas. Use AI-driven schema inference and ontology alignment tools to auto-draft mapping artifacts, dramatically reducing integration timelines across different life science datasets.High-Throughput Streaming & Backend Services: Build scale, fault-tolerant real ...

maintain knowledge graph structures that reflect canonical domain models. Develop and manage graph database schemas, queries, and data ingestion pipelines. Ensure semantic consistency between ontology definitions and downstream data products. AI & Vector Infrastructure Design and implement embedding pipelines that represent Comply’s financial and regulatory data in vector space. Build ...

autonomous and semi-autonomous agent workflows that retrieve, reason over, and act on enterprise data (with guidance on architecture and safety).Semantic Layers & Ontologies - Contribute to semantic models (metrics, definitions, and metadata) that make it easier for business users to query data consistently.LLM-Powered Analytics - Prototype LLM-enabled features ...

Experience with GCP ecosystem tools beyond BigQuery: Dataflow, Data Fusion, Dataplex, Vertex AI, Cloud Composer Exposure to AI/ML data enablement and data ontology design for AI use cases Knowledge of GDPR and telecom‐specific regulatory/compliance frameworks Experience with legacy on‐prem data warehouse/lake platforms ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...

using modern Azure technologies. Optimising data pipelines to ensure high levels of performance, data quality, consistency, and availability. Supporting the development of an enterprise ontology model to improve understanding and relationships across data domains. YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Microsoft Azure data engineering technologies. Designing ...