on experience in Machine Learning, Data Science or Software Development Experience with graph database technologies (Neo4j preferred) Strong programming skills in Python Demonstrated interest in knowledge representation, ontologies, or semantic technologies Familiarity with large language models and prompt engineering Ability to translate conceptual frameworks into technical implementations Preferred Qualifications Experience with ontology development tools and languages (OWL, RDF, Protégé … for information extraction Familiarity with LangChain, LangGraph, LlamaIndex, or similar LLM application frameworks Experience with business strategy concepts or frameworks Contributions to knowledge graph or ontology projects Background in semanticweb technologies or linked data principles Technical Skills Programming Languages : Proficiency with Python is mandatory. Knowledge of JavaScript is also beneficial. Graph Technologies : Neo4j, Cypher, GraphQL Data Engineering More ❯
or Cypher. ). Proficiency in programming languages like Python, Java, or Scala. Experience working with tools and methods to structure and transform data into useful information - knowledge graphs, ontologies, semantic-web, etc. Experience with design and maintenance of data models. Experience building systems utilizing simultaneous data streams from real-world equipment and simulations such as Digital Twins. Excellent More ❯
data from multiple sources Familiarity with Hume or similar graph intelligence platforms is a plus Comfortable working in agile and data-driven teams Desirable: Exposure to linked data or semanticweb technologies (RDF, SPARQL) Background in intelligence, law enforcement, government, or fraud analytics Experience working on sensitive or classified data projects Additional Details: Inside IR35 Initial 6-month More ❯
tools ETL/ELT processes Big data and analytics platforms Financial risk systems and methodologies Programming knowledge (Python, SQL, etc.) DevOps and CI/CD principles Knowledge graph and semanticweb technologies Machine learning operations (MLOps) AI-focused data catalog tools Schema registry and metadata management systems Feature store architecture for machine learning PIMCO follows a total compensation More ❯
with a focus on delivery. Every person is respected and encouraged to be their authentic self. Responsibilities: Develop, implement, and continue to enhance ontologies, taxonomies, knowledge graphs, and related semantic artefacts for interconnected data, as well as topical/indexed query, search, and asset discovery Design and prototype data/software engineering solutions enabling to scale the construction, maintenance … and consumption of semantic artefacts and interconnected data layer for various application contexts Provide thought leadership for strategic projects ensuring timelines are feasible, work is effectively prioritized, and deliverables met Influence the strategic semantic vision, roadmap, and next- architecture Execute on the interconnected data vision by creating linked metadata schemes to harmonize semantics across systems and domains Analyze … and implement knowledge organization strategies using tools capable of metadata management, ontology management, and semantic enrichment Influence and participate in governance bodies to advocate for the use of established semantics and knowledge-based tools Qualifications: Able to communicate complex technical strategies and concepts in a relatable way to both technical and non-technical stakeholders and executives to effectively persuade More ❯
the development, enablement, and implementation of data management best practices that enable the delivery of "ready-to-use" data. What's the role? As a Team Leader of the Semantic Modeling team, you will be pivotal in the development of our metadata products and processes at Bloomberg. Specifically, you will be guiding a team of ontologists in designing, implementing … and maintaining ontologies in order to drive data interoperability and semantic enrichment. The day-to-day will vary, some days you may be advising engineers on the development of metadata infrastructure and platforms. On other days, you may be meeting with Data teams to conceptualize their domain and promote best practices. Your work will touch a multitude of domains … Engineering. We'll trust You To: Champion the development of ontological practices at Bloomberg. Lead and develop a high-performing team of ontologists and taxonomists to contribute to centralized semantic models and taxonomies. Collaborate with stakeholders to understand business requirements and translate them into ontological models and solutions. Develop strategies for the consistent application of semantic modeling and More ❯
Machine Learning/SemanticWeb - FTC (6 Months) - West London We have an opportunity available for an experienced AI/ML Engineer to join a team based in Egham. This position requires immediate start so we politely request that you only apply if you are available to start within 1 month of accepting the role. This means unfortunately … a plus. Experience with Health data processing - HER, FHIR, Wearable sensor data. Knowledge of transformer models (BERT, GPT, Whisper, T5) for text generation and accessibility tools. Comprehensive knowledge of SemanticWeb technologies (RDF/s, OWL), query languages (SPARQL) and validation/reasoning standards (SHACL, SPIN). Comprehensive knowledge of RAG and GraphRag systems and architecture. Experience building … ontologies in the e-commerce and semantic search spaces. Knowledge Graph and RAG -AI Architecture. Desirable: Experience with OCR, Image captioning, object detection for assistive technologies. Understanding of ARIA, WCAG, screen readers (JAWS, NVDA, VoiceOver). Experience working in Horizon Europe, Digital Europe or other EU-funded research projects. Familiarity with healthcare regulatory frameworks (GDPR, MDR, HIPAA). Experience More ❯
model supporting analysis across multiple datasets. Translate business and product requirements into clear, maintainable data modelling artifacts. Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery. Create tools and processes to monitor and maintain metadata inventories. Communicate data modelling requirements to stakeholders, and drive alignment across metadata/modelling functions to ensure … certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. 4+ years of experience working with data modelling, metadata design, or semantic data structures Proven ability to work with messy, heterogeneous data sources and convert them into harmonized, queryable formats Strong communication skills, with the ability to influence and drive alignment … Exposure to fixed income or financial datasets (e.g. corporate bonds) - or a willingness to learn the domain Experience with data cataloging, metadata governance, or data discovery platforms Familiarity with semanticweb or knowledge graph concepts (e.g., RDF, SKOS, OWL) and experience integrating these into usable data models. Formal ontology design is not required, but ability to collaborate with More ❯
a TRANSFORMATION and TECHNOLOGY is simultaneously at the FOREFRONT and the DRIVING FORCE. Our innovative technology platforms and smart content solutions operate at the cutting edge of big data, semanticweb and cloud technology, enabling faster more effective critical decision-making daily across the globe. Product Mendeley is part of Elsevier. Mendeley is changing the way research is More ❯
Are you an ambitious Data Scientist with strong programming skills in Java and/or Python? Do you have a passion for knowledge representation, such as knowledge graphs and semanticweb technologies? If so, we have an exciting opportunity for you! Why This Role is Special As a KTP Associate, you will be at the forefront of a More ❯
Are you an ambitious Data Scientist with strong programming skills in Java and/or Python? Do you have a passion for knowledge representation, such as knowledge graphs and semanticweb technologies? If so, we have an exciting opportunity for you! About rradar rradar (www.rradar.com) is a £25m turnover legal services group providing insurance companies' clients with risk More ❯
years of experience with data modeling tools, processes, and artifacts. • Experience working on projects with implemented designs. • Effective communication working in diverse teams. Desired Skills: • Familiarity with ontology, semanticweb, and data modeling concepts. • Python programming and unix command line script experience. • Data engineering/ETL experience. • API building experience. In addition to a competitive salary, APK Solutions More ❯
include: Software Development Maintenance and support of existing code Keeping up to date with latest technologies Key Skills required of the Software Engineer: Java, J2EE, JSP, JSTL Spring, MVC Web Services (RESTful and SOAP) JMS SQL Desired skills and experience: XSLT SemanticWeb (Apache Jena Framework) Publishing experience What's in it for you? Opportunity to work More ❯
