6 of 6 Remote/Hybrid Ontologies Jobs

Experience or strong interest in NLP, LLMs, and AI frameworks. Proficiency with Python and tools used for text analytics and data visualisation. Knowledge of ontologies, semantic technologies, metadata, or knowledge graph management. Excellent communication skills with the ability to collaborate across functions. Adaptability and enthusiasm for emerging digital and data ...

data warehousing technology, high-performance computing platforms, database and database query optimisation, and data mining Experience in some of the following domains: bioinformatics, genomics, ontologies, functional annotation, and high throughput sequencing analysis, statistics Experience of some of the following technologies: Python, Rust, Perl, GraphQL, JavaScript, TypeScript, Apache, MySQL, PostgreSQL, DuckDB ...

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 ...

trusted advisor who helps customers design and evolve high value Semaphore solutions that address complex information, metadata, and knowledge model (i.e. thesauri, taxonomy and ontology) challenges. The role emphasizes deep discovery, collaborative problem solving, and long-term partnership rather than transactional engagements, ensuring customers realize sustained value from the Semaphore … statements and opportunity areas for Semaphore. Facilitate workshops and advisory sessions that guide customers through options, tradeoffs, and roadmaps for semantic modeling, taxonomy/ontology design, metadata standards and governance, and content classification. Act as a trusted advisor to business and technical stakeholders, using active listening, open-ended questioning ...

automation, underwriting decision support, policy servicing, fraud detection, compliance and operational efficiency, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution within regulated insurance environments. The Consulting Engineer is a hands-on AI systems builder who combines engineering depth with commercial … loop controls Retrieval and vector-based systems over policy wordings, endorsements, claims files, loss runs, underwriting guidelines and regulatory documentation Semantic layers, ontologies and knowledge models aligned to insurance data structures, coverage logic and risk taxonomies Integrations with core insurance platforms (claims systems, PAS, underwriting workbenches), data warehouses and third ...

term AI engineering capability. As client demand for AI-native transformation accelerates, the consulting practice is expanding its engineering capability across agentic systems, retrieval, ontologies and AI-enabled execution. The Consulting Engineer is a hands-on AI systems builder who combines deep engineering craft with commercial and product thinking … design, build and deploy agentic, retrieval and ontology-based systems for enterprise clients. You will work directly with senior client stakeholders and alongside consulting and orchestration roles, translating complex business challenges into safe, reliable and measurable AI solutions. Key Accountabilities Client-Facing AI Engineering & Agentic System Design You will design ...