26 to 50 of 71 Ontologies Jobs

principles. Previous experience of implementing clinical standards-based data modelling such as openEHR archetypes/templates, FHIR resource profiling, and clinical terminologies. Experience working with clinical data sets and ontologies in real-world health settings where data models (FHIR, OpenEHR, OMOP) are designed for analytical, reporting and operational enablement use-cases. Demonstrable experience modelling data presented in FHIR, OpenEHR, DICOM … Claims, SDOH etc. in the data platform for analytics, reporting and supporting operational needs. Experience of modelling and mapping data into OMOP format. Good understanding of clinical terminologies and ontologies (e.g., SNOMED CT, LOINC, ICD-10/11). Experience with data governance principles and data quality management. Excellent communication and stakeholder management skills, with the ability to lead data More ❯

such as DoDAF and SysML . Apply deep knowledge in one or more of the following: business process modeling , data architecture , application/software architecture , infrastructure , security architecture , or ontology development . Contribute to the development of service taxonomies and semantic web technologies (e.g., OWL) to enhance organizational understanding and interoperability. REQUIRED QUALIFICATIONS Experience: Extensive experiencein enterprise architecture roles with … with architecture modeling tools, industry standards, and relevant technical domains (e.g., DoDAF, SysML). Deep knowledge in at least one area such as business, data, application, infrastructure, security , or ontology-based architectures , with working knowledge of the others. Certifications: Not required, though familiarity with architecture frameworks and modeling languages is expected. Education: Master's Degree in Enterprise Architecture or related More ❯

Providing briefings for technical/modeling capabilities and analyses with internal stakeholders and external customers Areas of Technical Interest: MBSE Model Design Pattern Systems and System-of-System architectures Ontology, profile and stereotype development Various DoD mission domains Required Education, Experience, and Qualifications: A minimum of 10 years of related experience with a Bachelor's degree; or 8 years and More ❯

or similar). Prior experience supporting the integration of semantic web technologies into the SaaS portal, enabling advanced data querying, relationship mapping, and knowledge graph construction. Familiarity with software ontology and triplestore databases Familiarity with building HTTP-based web services using a framework such as JavaScript, Java Spring Boot, etc. Familiarity with source management repositories such as: Git (GitLab, GitHub More ❯

SharePoint administration and design, and webpage management Experience conducting information briefings and other official communications with senior and executive leaders Working understanding data management and engineering, including schema normalization, ontologies, and data structure management More ❯

autoscaling of microservice containers. Assist in the development, deployment and customization of application performance monitoring which measures the systems load and performance. Assist in development, deployment and customization of ontologies to enhance harmonization of data schemas, intelligent composition and orchestration of microservices. Configure, deploy, test and administer the Kubernetes container-based solution in unclassified and classified environments. Troubleshoot system and More ❯

UML). Familiarity with Unified Profile for DoDAF/MODAF (UPDM), United Architecture Framework (UAF), Systems Modeling Language (SysML), Unified Modeling Language (UML), and other MBSE languages, frameworks, and ontologies Coursework or experience that demonstrates understanding of object-oriented principles as they apply to programming and/or system engineering Demonstrated experience with Systems Engineering and Systems-of-Systems Engineering More ❯

with tradecraft standards and best practices. Implement corrective actions to address performance gaps and enhance program outcomes. Knowledge Management Develop and maintain a repository of program documentation, including workflows, ontologies, and analytic tradecraft standards. Ensure proper version control, change management, and stakeholder review of program artifacts. Promote knowledge sharing and best practices across the organization. Training and Support Develop and More ❯

more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Familiarity with one or more query languages (e.g. SQL and Cypher) Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Why BAE Systems? This is a place where you’ll be able to make a real difference. You’ll be part of an More ❯

areas: Business (operational) architecture, especially business process modeling. Data architecture Application architecture (at lower levels of detail this is software architecture) Infrastructure & technology architecture Security architecture Service taxonomies Web Ontology Language (OWL) Business Process Modeling Notation (BPMN) 2.0, DoD Primitives conformance class Ontology development Certifications CompTIA Security +, or higher Security Clearance Active DOD security clearance (TOP SECRET) Other (Travel More ❯

explain complex ideas to non-technical audiences. Strong stakeholder engagement and self-management skills. Familiarity with cloud platforms (AWS preferred) and public sector data practices. Experience with metadata tools, ontologies, data platforms (e.g. lakes, meshes). Use of tools like Visio, Sparx, or frameworks like TOGAF. Knowledge of technical specs, data catalogues, and standards assurance. If you are available and More ❯

TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC clearance (UK EYES ONLY); eligibility for DV/UKIC clearance is a More ❯

legitimacy of data; identify continuous improvement opportunities through automation and simplification. Champion the use of new tools and techniques to realize emerging data opportunities and leverage the latest data ontology thinking and techniques to access new data assets. Develop and lead a team of analysts/data specialists who are the go-to experts on all aspects of governance, insights More ❯

team Self-Starter: willing to learn new technologies, ability to learn fast Strong complex problems solving skills Candidate should have some experience or interest in creating data schemas, and ontologies, defining properties and rules for different dataset types to encourage data consistency across the business. Experience with scripting and automation (e.g., Python, SQL, FME). Undergraduate degree in Data Science More ❯

representations using authoritative sources of truth (ASOT) and defines traceability within the model(s) to source data. - Collaborates with other Navy MBSE projects to support alignment initiatives through common ontology or project usages. - Maintains configuration management of models using Teamwork Cloud or other project defined CM Process. - Adheres to existing project SysML, UAF, and project specific style guidance. - Participates in More ❯

and develop automated decision-making and control methods for cyber systems Design and develop applied AI solutions for decision support and human-machine teaming Knowledge Engineering (e.g. knowledge graphs, ontologies, etc.) Setting direction for the division and influencing MITRE Labs and direct work programs on the convergence of AI and Cyber Operations across Research, capability development, and direct programs. Basic More ❯

as Databricks, EC2, and Palantir (Apogee), and lead the development of operational AI capabilities for Combatant Commands and Joint Staff. You will apply DevSecOps principles, build trusted pipelines, support ontology alignment, and drive the adoption of reusable models and MLOps practices across distributed teams. This role requires a strong foundation in statistical modeling, applied machine learning, and cloud-native architectures … with mission goals. • Produce clear technical documentation, failover strategies, and model performance summaries for leadership audiences. • Document failover/continuity of operations plans for data systems. • Document existing data ontologies and data types in use at organizations encountered in development tasking and indicate availability for reuse. • Document and understand organization Data Science (DS) & Artificial Intelligence (AI) training programs. Provide ongoing More ❯

for. Job Description: Parsons is looking for an amazingly talented Data Analyst (Palantir - Foundry) to join our team! In this role you will get to execute Data Pipeline and Ontology Development. What You'll Be Doing: Continue to develop and maintain the Air Force (AF) Critical Asset Management System - Envision (AFCAMS-E) Evaluate the current state of AFCAMS-E and … data audits to ensure accuracy and consistency of risk management data. Maintain documentation, training materials, and knowledge transfer processes to support Air Force personnel. Shall execute Data Pipeline and Ontology Development and work in dynamic environments with stakeholders from multiple external organizations What Required Skills You'll Bring: 5-7+ years of related experience and a Bachelors Degree or … work experience Active TS/SCI 1 year working with data engineering in the Palantir Foundry data integration platform or approved equivalent, inclusive of both data pipelines and complex ontology development Shall have demonstrable extensive knowledge of distributed computing frameworks (e.g., Spark) and Foundry programming languages (Python, PySpark, SQL, TypeScript) Foundry Data Engineer certification required Security Clearance Requirement: An active More ❯

We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation … We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate and customer experiences. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - Master's degree in computer science, machine More ❯

We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to enhance customer service associate and customer experiences. As an Applied Scientist, you'll own the definition and implementation of customer-focused, AI-driven innovation … We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Machine Learning (ML), Ontology, and Natural Language Processing (NLP) to customer service associate and customer experiences. BASIC QUALIFICATIONS - 3+ years of building models for business application experience - Master's degree in computer science, machine More ❯

and common protocols. A good understanding of various operating systems, network devices, and cybersecurity devices. An understanding of data cleansing and profiling An understanding of data schema, model, and ontology concepts Experience with Jupyter notebooks or similar AI/ML frameworks. Good communication skills Experience with Zoom/Teams/Meet style team meetings More ❯

communication skills with ability to engage technical and non-technical stakeholders Desirable Skills • Experience with graph ML libraries (e.g. PyTorch-Geometric, PyKeen), Neo4j, or Cypher • Familiarity with knowledge representation, ontology design, or neuro-symbolic AI • Prior delivery of LLM-based research projects or integration into operational systems The Package • Up to £70,000 base salary • 10% company bonus • Enhanced pension More ❯

Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply? Work on high-impact, real-world AI research projects with direct applications in security and national infrastructure Collaborate with leading academic and industry partners More ❯

implement knowledge extraction. Benchmark and tune state-of-the-art LLMs for performance and cost efficiency. Incorporate trends like instruction tuning, RLHF, or LoRA fine-tuning. Embed domain-specific ontologies into NLP workflows. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost; implement improvements. Own the ML-Ops for your Pod. Develop experiments for model evaluation and continuous More ❯

SPARQL, or GraphQL for complex data retrieval and manipulation Advanced Graph Data Modeling: Experience translating business requirements into optimized graph schemas, including property graphs, RDF triples, or knowledge graph ontologies Graph Algorithm Implementation: Practical experience applying graph algorithms (e.g., path finding, centrality measures, community detection, similarity calculations) to solve complex analytical problems Graph Database Architecture: Experience designing, deploying, and administering More ❯