16 of 16 Ontologies Jobs

engineering challenges into clear business outcomes. Master's or PhD in Computer Science, Machine Learning, or related technical discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing, deploying, and integrating ML solutions in enterprise ecosystems. Exposure to LLM and GenAI engineering (fine-tuning, vector search, distributed inference). Experience optimizing GPU clusters, distributed training, or More ❯

business recommendations. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or another quantitative discipline. Preferred experience: Hands-on experience with Palantir platforms (Foundry, AIP, Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science/ML conferences More ❯

Statistics, Computer Science, or related quantitative discipline. Recognized as a technical thought leader through publications, external talks, or open-source contributions. Preferred Experience: Experience using Palantir platforms (Foundry, AIP, Ontology) to develop and operationalize insights. Familiarity with LLM application frameworks, vector databases, and knowledge graphs. Publications in top-tier AI/ML or data science conferences/journals (e.g., NeurIPS More ❯

ML applications. Collaborate with data engineering and AI teams to prepare datasets for use in intelligent systems, LLMs, and scientific platforms. Align with data governance on domains, metadata standards, ontologies, quality indicators, and onboarding processes. Requirements Background & Experience 8+ years of experience in information science, scientific data management, or knowledge management— pharma experience strongly preferred . Deep understanding of the … data lifecycle, metadata, ontologies, search & discovery technologies , and master data management. Strong experience in information architecture , scientific search systems, knowledge engineering, and the underpinning data models required for discovery workflows. Technical & AI Readiness Not a data scientist, but a tech-savvy information science expert comfortable working with technical teams. Familiarity with machine learning tools , agentic AI concepts, and large language More ❯

solutions leveraging generative AI technologies Support software and system integration development efforts in support of digital engineering/model-based engineering capabilities Develop and maintain scalable data pipelines and ontologies Work cross-functionally with multiple Integrated Product Teams (IPTs) to assist and enable their adoption of new digital engineering capabilities throughout all aspects of the engineering lifecycle Actively participate in … Experience with Python and/or Javascript Experience with web development frameworks such as React Experience with Container management and/or orchestration (Kubernetes, Docker) Experience with data modeling, ontology, and industry standards for data exchange Knowledge of or experience with Siemens Teamcenter Product Lifecycle Management (PLM) and systems integration between Teamcenter and Enterprise Resource Planning and Manufacturing Execution Systems More ❯

solutions leveraging generative AI technologies Support software and system integration development efforts in support of digital engineering/model-based engineering capabilities Develop and maintain scalable data pipelines and ontologies Work cross-functionally with multiple Integrated Product Teams (IPTs) to assist and enable their adoption of new digital engineering capabilities throughout all aspects of the engineering lifecycle Actively participate in … Experience with Python and/or Javascript Experience with web development frameworks such as React Experience with Container management and/or orchestration (Kubernetes, Docker) Experience with data modeling, ontology, and industry standards for data exchange Knowledge of or experience with Siemens Teamcenter Product Lifecycle Management (PLM) and systems integration between Teamcenter and Enterprise Resource Planning and Manufacturing Execution Systems 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 ❯

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 ❯

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 ❯

lasting impact to our customers and scale our platform globally. Your Responsibilities Design the scientific data layer — structure core domains like molecules, processes, equipment, and experimental data. Define modeling ontologies — create modular, scalable ontologies to support modeling workflows, simulations, AI agents, and data integration. Enable AI and traceability — shape the data structures that power workflow automation, recommendation systems, and audit … and conventions that support both out-of-the-box and customer-specific data models. Requirements What We're Looking For 7+ years experience in data modeling, semantic architecture, or ontology engineering — ideally with real-world R&D, scientific, or enterprise complexity. Expertise in designing scalable, extensible knowledge systems across structured, unstructured, and metadata-heavy environments. Demonstrated success working on data 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 ❯

Palantir ecosystem, developing workflows, forms, and data models that reflect operational processes and user needs. Working closely with internal teams and a specialist third party supplier, you will shape ontology design, contribute to platform documentation, and support wider engineering decisions that improve how data is structured, accessed, and utilised across secure environments. One position requires three days per week in … roles offer predominantly remote working with occasional on-site commitments. Key Skills and Experience Active DV clearance (essential) Strong background in Palantir engineering across SEQ, application workflows, forms, and ontology development Experience turning complex requirements into usable data models, structured workflows, and well documented design outputs Ability to collaborate with multiple technical and non technical stakeholder groups, including user communities More ❯

Palantir ecosystem, developing workflows, forms, and data models that reflect operational processes and user needs. Working closely with internal teams and a specialist third party supplier, you will shape ontology design, contribute to platform documentation, and support wider engineering decisions that improve how data is structured, accessed, and utilised across secure environments. One position requires three days per week in … roles offer predominantly remote working with occasional on-site commitments. Key Skills and Experience • Active DV clearance (essential) • Strong background in Palantir engineering across SEQ, application workflows, forms, and ontology development • Experience turning complex requirements into usable data models, structured workflows, and well documented design outputs • Ability to collaborate with multiple technical and non technical stakeholder groups, including user communities More ❯