10 of 10 SPARQL Jobs in the UK

directly impact customers. OUR TECHNOLOGY STACK: Python • Agentic tools (Autogen, Semantic Kernel, LangChain) • SQL • MongoDB • Third-party LLM APIs • LiteLLM • MLflow • Google Cloud Platform • Docker • PyTorch • Hugging Face Transformers • SPARQL • Kubernetes WHAT YOU WILL BE DOING AT BEAMERY Join us at the forefront of transforming how organisations manage talent and plan their workforce. We're building intelligent products powered by More ❯

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 semantic web 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 contract with potential extension Start ASAP More ❯

to make informed design and code decisions. Database Management Work with relational databases (RDBMS) and the graph database RDFox Write and optimize complex SQL queries Use RDF models and SPARQL queries from the graph database along with our Ontology expert DevOps and CI/CD Participate in the CI/CD pipeline using GitLab Utilize tools to improve coding style More ❯

pros and cons for informed decision-making Database Management Work with relational databases (RDBMS) and the graph database RDFox Write and optimize complex SQL queries Use RDF models and SPARQL queries from the graph database in collaboration with our Ontology expert DevOps and CI/CD Participate in the CI/CD pipeline using GitLab Utilize tools to improve coding More ❯

to make informed design and code decisions. Database Management Work with relational databases (RDBMS) and the graph database RDFox. Write and optimize complex SQL queries. Use RDF models and SPARQL queries from the graph database in collaboration with our Ontology expert. DevOps and CI/CD Participate in CI/CD pipeline using GitLab. Containerize applications using Docker. Work with More ❯

formal test methods, deterministic simulation testing, Satisfiability Modulo theories, Boolean Satisfiability Experience with declarative model transformations or mappings – e.g. in a data pipeline Exposure to RDF technologies such as SparQL or JSON-LD About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and More ❯

or cloud-based either as Software-as-a-Service (SaaS) or hosted Ideally hands-on knowledge of graph technologies such as RDF, LPG and ontologies (OWL). Experience with SPARQL a bonus Familiarity with Large Language Models, and leveraging LLMs in a corporate environment to drive business value Experience selling to or working within the data management and/or More ❯

learning, knowledge engineering, information retrieval, or related fields. At least 3 years of work experience in at least one of the following fields is REQUIRED: Knowledge engineering technologies (RDF, SPARQL, OWL, SKOS)/Natural Language Processing (LLM, agent, entity detection, question answering, etc.)/Machine Learning & Deep Learning (LSTM, transformer, etc.) . At least 2 (3-5 would be desirable More ❯

and support product scaling initiatives Key Requirements: PhD in NLP, Machine Learning, Knowledge Engineering, or related fields 3+ years of experience in at least one of: Knowledge technologies (RDF, SPARQL, OWL, SKOS); NLP (LLMs, entity detection, question answering, agent systems); Deep learning (transformers, LSTM, etc.) 2+ publications in top-tier conferences (e.g., ACL, NeurIPS, ICML, EMNLP, ICLR, AAAI) Strong coding … research and applied development in a collaborative environment Keywords: Knowledge Graphs/LLMs/Semantic Search/Knowledge Reasoning/NLP/Agent Systems/RAG/OWL/SPARQL/Transformers/Deep Learning/AI Assistants/QA Systems/Pytorch/TensorFlow/Graph Reasoning/Multi-Modal AI/Knowledge Engineering/Research to Production If More ❯

successful leading and mentoring teams in a large cross domain environment or through a transformational organizational change. Expertise in knowledge representation syntax (e.g., OWL, RDF, SKOS), query languages (e.g., SPARQL), and tools (e.g., Protégé, TopBraid, PoolParty). We'd love to see: Understanding of Data Governance and Data Management, supported by industry certifications (e.g. DAMA CDMP, DCAM, etc.) Master's More ❯