1 to 25 of 28 Ontologies Jobs

3Data team in Threes IT &Networks department. The role holder will take ownership of Threes data architecture framework. This will include managing data through the relevantmodels, data standards and ontologies and the alignment to the delivery of dataquality, data improvement and data governance initiatives. The EDA will managethe definition and implementation of an enterprise data model (EDM) thatleverages the latest More ❯

and executing experiment plans and communicating them to stakeholders. Nice to haves: Experience with any of the following specialisms: Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs and Ontologies, Data Governance and Compliance, or Deepfake Detection. Creating Python-based applications and/or APIs. A degree in a field like data science, physics, computational science, mathematics, or statistics (though More ❯

polygraph. Vantor is seeking an experienced Solutions Architect to lead the design, integration, and evolution of a comprehensive knowledge management platform - one that unifies AI-driven insights, data engineering, ontology development, and core application sustainment. This role bridges AI innovation with enterprise software architecture, ensuring that our solutions remain secure, scalable, and transformative across the mission space. Responsibilities: Strategic & Architectural … with security and mission standards. Data & Knowledge Architecture Collaborate with data engineering teams to design data pipelines, ETL processes, and metadata management frameworks. Lead the development and maintenance of ontologies, taxonomies, and semantic data models that enable cross-domain intelligence sharing and discovery. Ensure data interoperability and accessibility across systems, with a focus on data provenance and quality. Platform Development … Proven experience leading complex, multi-component software systems, ideally involving AI/ML, data engineering, and cloud-based architecture. Strong understanding of LLMs, Generative AI frameworks, and knowledge representation (ontologies, graph databases, metadata standards). Demonstrated success integrating AI within larger enterprise or mission platforms. Familiarity with DevSecOps, CI/CD pipelines, and deployment of AI/ML systems in More ❯

industry and academia. SureChEMBL is a 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 Technical Lead is part of the leadership team in the group, which consists of an international More ❯

delivery patterns across mission-critical projects. Key Highlights: Lead strategy and engineering for Palantir Foundry adoption Mentor engineers and influence data architecture across high-consequence programmes Build and optimise ontologies, pipelines, and semantic models Apply strong data engineering skills (Python, SQL, PySpark) Bring cloud expertise (AWS, Azure, or GCP) and proven team leadership If you have Palantir Foundry experience and More ❯

big data. The ability to work towards tight deadlines is essential. The Protein Function development team maintains bioinformatics infrastructure of the world leading Universal Protein Resource (UniProt), and Gene Ontology Annotation resource. This is a very dynamic and interdisciplinary team comprising talented and enthusiastic software engineers and bioinformaticians working closely together with the biocurators in these resources. The UniProt resource More ❯

closely with cross-disciplinary teams, including data scientists, domain experts, and product managers, to design scalable, secure, and interoperable data systems. You’ll also help establish our enterprise data ontology and lead a small team of data engineers to turn that vision into reality. What You’ll Do Enterprise data pipeline design&optimisation: Design and implement robust data pipelines to … map both structured and unstructured data from diverse sources into the enterprise vector store, ensuring high-quality embeddings for downstream retrieval and analysis Ontology and data modelling: Lead the development of semantic data models and domain ontologies to enable data interoperability and traceability across the enterprise. Team leadership: Provide technical direction and mentoring for a small team of data engineers … implementing scalable data architectures using cloud platforms (Azure preferred). Strong experience with data modelling—from conceptual to logical and physical—and familiarity with data catalogues, knowledge graphs, or ontology tools. Proven experience managing or mentoring other data engineers. Solid programming skills in Python and SQL, and familiarity with tools such as Git, CI/CD workflows, Docker, and Kubernetes. More ❯

and proving, supported with effective documentation Experience of new tools, techniques and approaches that might enable us to evolve our processes to improve our efficiency and sustainability Experience in ontologies and Domain specific languages Responsibilities: This is a very hands-on role and requires the continued design and development of new and evolving software tools and architectures, and the instantiations More ❯

and proving, supported with effective documentation Experience of new tools, techniques and approaches that might enable us to evolve our processes to improve our efficiency and sustainability Experience in ontologies and Domain specific languages Responsibilities: This is a very hands-on role and requires the continued design and development of new and evolving software tools and architectures, and the instantiations More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

with CI/CD tools such as GitLab and Docker . A collaborative approach and the ability to work across multi-disciplinary project teams. Nice to have Exposure to ontologies or domain-specific languages. Knowledge of defence or aerospace environments. Contract details Location: Bristol (fully onsite) Clearance: Active SC clearance required to start Duration: 12 months, with strong potential for More ❯

Palantir Technical Lead (SFIA Level 5) Location: London/Hybrid Salary: £90,000 – £100,000 + Bonus & Benefits Palantir Foundry | PySpark | Python | Ontology Are you a Senior Engineer ready to step into a leadership role shaping the future of Defence data? Or perhaps you’re already in a Manager role and want the chance to balance technical depth with strategic … a Palantir Tech Lead to define how organisations harness Palantir Foundry, enabling powerful analytics, AI/ML integration, and mission‐critical applications. You’ll be the senior authority guiding ontology development, practice leadership, and strategic delivery across high‐consequence projects in defence and security. While this role is primarily hybrid, you may occasionally be required to attend the client site … or sometimes not at all but it’s important to know that flexibility for client visits is part of the role. All expenses covered. Your Role Architect and govern ontologies in Palantir Foundry that unify complex data into actionable intelligence. Lead and grow a practice mentoring engineers, shaping delivery patterns, and championing innovation. Balance technical depth with strategic leadership, aligning More ❯

and proving, supported with effective documentation Experience of new tools, techniques and approaches that might enable us to evolve our processes to improve our efficiency and sustainability Experience in ontologies and Domain specific languages Experience in C or C++ programming language Knowledge of DDS middleware and Real Time Operating Systems Knowledge of standards such as DefStan 00-55, DO-178C More ❯

stakeholders to turn complex data, AI and process challenges into scalable Foundry applications. Key responsibilities Act 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 and governance patterns and application … realisation from the platform. Skills and experience Significant 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 one relevant programming language such as More ❯

instances, implement dataset provisioning and access patterns, optimize query performance, enforce security/compliance (including GovCloud constraints), and collaborate with data architects to design, operationalize, and govern enterprise data ontologies and canonical models that enable consistent semantics and discoverability. Position Responsibilities Participate in all aspects of agile delivery, including design, implementation, testing, and deployment of solution‐space features and operational … to‐serve through data layout and query optimization (indexing, partitioning, materialized views, caching) and by advising solution owners on access/query patterns. Design, implement, and operationalize enterprise data ontologies and canonical models: create semantic models, map solution datasets to ontologies, enforce taxonomy/versioning, and partner with governance for discoverability and lineage. Design and enforce authorization models: implement RBAC … for role-level permissions and ABAC for fine‐grained, attribute‐driven policies (dataset sensitivity, clearance, environment, ontology tags), integrated via a centralized policy engine. Build and maintain Infrastructure‐as‐Code (Terraform) and CI/CD for DB and dataset lifecycle changes; automate entitlement provisioning and deprovisioning workflows; author runbooks and participate in on‐call rotations. Enforce security, compliance, and GovCloud More ❯

Are you looking for a new role as an External Information Solutions Lead? Do you have a deep understanding of the data lifecycle, metadata, ontologies and scientific knowledge systems? Are you also experienced in FAIR data principles and semantic technologies, ensuring data is structured for scientific use? If so, please click apply today! We are recruiting for an External Information … indicators, data models, and onboarding materials, all grounded in information science best practices can compliance. Technical and Professional Competencies: Information Science Expertise Deep understanding of the data lifecycle, metadata, ontologies, and scientific knowledge system. Experience with FAIR data principles (Findable, Accessible, Interoperable, Reusable) and semantic technologies, ensuring data is structured for scientific use. Proven ability to support cross-functional teams More ❯

observability: logging, metrics, distributed tracing, and alerts for performance, access anomalies, and SLA adherence. Collaborate with Data Engineers and Data Architects to surface dataset metadata, link applications to enterprise ontologies/canonical models, and implement dataset handoffs. Author and maintain technical documentation, runbooks, and user-facing guides; participate in agile ceremonies and sprint delivery. Participate in on‐call rotations for … Science, Engineering, or equivalent experience. Preferred qualifications (desired) Experience integrating with data platforms (Palantir Foundry, data catalogs) or working in data consumption/solutions spaces. Familiarity with enterprise data ontologies, dataset metadata models, or semantic layers. Experience operating in AWS GovCloud or regulated environments and applying compliance controls. Experience with container orchestration (Kubernetes/EKS) and Docker. Knowledge of caching More ❯

observability: logging, metrics, distributed tracing, and alerts for performance, access anomalies, and SLA adherence. Collaborate with Data Engineers and Data Architects to surface dataset metadata, link applications to enterprise ontologies/canonical models, and implement dataset handoffs. Author and maintain technical documentation, runbooks, and user-facing guides; participate in agile ceremonies and sprint delivery. Participate in on‐call rotations for … Science, Engineering, or equivalent experience. Preferred qualifications (desired) Experience integrating with data platforms (Palantir Foundry, data catalogs) or working in data consumption/solutions spaces. Familiarity with enterprise data ontologies, dataset metadata models, or semantic layers. Experience operating in AWS GovCloud or regulated environments and applying compliance controls. Experience with container orchestration (Kubernetes/EKS) and Docker. Knowledge of caching More ❯

while mentoring engineering teams. Core Responsibilities Foundry Solution Architecture & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement patterns for data modelling, transformation … in production , with direct ownership of: Solution architecture Deployment strategy Operational runbook and handover Demonstrable enterprise experience with: Performance bottlenecks at scale Complex permissioning/security models Schema and ontology evolution Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite , including technical steering sessions and design reviews. History of teaching, mentoring or training … understanding of: Platform limitations and edge cases Common failure modes Practical workarounds and design patterns to avoid them Technical Skills Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features. Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java, or similar) for transformations, services More ❯

Systems & AI Infrastructure) Location: Remote | Full-Time | Founding Team About the Company An early-stage AI infrastructure startup is building a next-generation operating system for data—combining dynamic ontology engines with advanced agentic systems capable of autonomous, transparent workflow execution. Backed by tier-one investors and already partnering with global enterprises, the company is defining a new category of … semantic layers, reasoning engines, and distributed runtime environments. What You'll Work On Agent Infrastructure: Orchestration, memory, task planning, and execution logic using Python and open-source LLM frameworks. Ontology & Semantic Systems: Automated layers that unify structured and unstructured data. Agent Runtime: Planning, tool execution, distributed system observability, and robust runtime workflows. Data Infrastructure: Metadata systems, connectors, ETL pipelines, and … backend, infrastructure, or AI systems engineering. Strong Python skills plus experience with LLMs, vector DBs, LangChain, or custom agent tooling. Background in agentic systems, reasoning pipelines, or semantic/ontology-based architectures. Familiarity with knowledge graphs, schema reconciliation, or semantic modeling. Experience across modern data infrastructure (e.g., dbt, BigQuery, Airflow) and cloud environments (AWS/GCP). Prior startup or More ❯