London, England, United Kingdom Hybrid / WFH Options
Aventum Group
the infrastructure/architecture of the big data platform. Evaluating, comparing and improving the different approaches including design patterns innovation, data lifecycle design, data ontology alignment, annotated datasets, and elastic search approaches Developing, creating and maintaining a reliable data pipeline and schemas that feed other data processes; includes both technical more »
AI and Machine Learning. • You have good understanding of the different data architecture patterns: Data Fabric, Data Mesh, Data Warehouse, Data Marts, data modeling, ontologies & knowledge graphs, MicroServices • You have experience in implementing ETL data flows and data pipelines, and know one or more of the following tools: Informatica PowerCenter more »
Saffron Walden, Essex, South East, United Kingdom Hybrid / WFH Options
EMBL-EBI
technologies, and workflow definition languages. Biological data management and use including the development of databases and the sharing & interpretation of complex data sets. Metadata, ontologies and the use of Findable, Accessible, Interoperable, Reusable (FAIR) resources to link disparate data sets. Experience with datasets and analytical problems in molecular biology, biodiversity more »
Azure and or Certified Azure Data Engineer Associate Interest on and exposure to on Generative AI are beneficial. Desired exposure to modern metadata management, ontologies and knowledge graphs. As a recognised Top 50 Inclusive Employer in the UK, we know that diversity means success and innovation. We want our workplace more »
change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. CUBE is creating the future and are a company rooted in strong values more »
Platform UK Remote Full-time, Permanent £90,000-100,000 + benefits Through their SaaS platform, bolstered by cutting-edge AI and proprietary data ontology, this company demystifies the intricate and evolving landscape of compliance for their customers. With some of the biggest international financial institutions already as customers, this more »
change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. At CUBE, we are creating the future and are a company rooted in more »
change for the financial services industry. We deliver our services through a SaaS platform, powered by an innovative combination of AI and proprietary data ontology, to simplify the complex and everchanging world of compliance for our clients. At CUBE, we are creating the future and are a company rooted in more »
London, England, United Kingdom Hybrid / WFH Options
BenchSci
projects that contribute to the data in BenchSci’s Knowledge Graph. Be responsible for building and maintaining BenchSci’s knowledge graph, including our biological ontologies that form part of it. Lead the harmonisation and integration of diverse biological ontologies into a cohesive knowledge base, utilising standards like RDF (Resource Description … Framework), OWL (Web Ontology Language), and technologies like Neo4j. Advocate for and implement leading graph database technologies, as well as RDF Stores and Triple-stores where relevant, to construct scalable, performant and robust systems. Work closely with senior and lead engineers within your team, and on other teams, to ensure … deploy different knowledge graph-related technologies such as labeled property graphs, semantic networks, RDF, and RDFS. Proficient in various knowledge representation techniques such as ontologies, taxonomies, and frames. Experience developing or extending ontologies to model domain knowledge in a structured form with an understanding of ontology languages such as OWL more »
application of modern systems engineering methods. Large Scale system development including a variety of system types. Systems Engineering technical methods and practices, such as ontologies, modelling languages, architecture frameworks, processes and tooling. Salary & Benefits: £60k plus 12.5% annual bonus Monthly car allowance Hybrid/Flexible working in place Can be more »
project. The successful candidates will either have hands on experience working with Palantir Foundry applications such as Workshop, Pipeline Builder, Data Lineage, Quiver, Notepad, Ontology Manager, Object Explorer, and Contour. Technical Requirements: Palantir Foundry Experience with Palantir Applications (Workshop, Pipeline Builder, Data Lineage, Quiver, Notepad, Ontology Manager, Object Explorer, and more »
