4 of 4 Ontologies Jobs in the North of England

Consultant - Senior Consultant, Palantir Foundry Data Engineer - Tech Consultancy - Defence & Security

Hiring Organisation
Deloitte
Location
Manchester, Greater Manchester, United Kingdom
Salary
£ 60 K
unstructured – and integrating them into Palantir Foundry.Systems thinking and architectural design skills for building scalable, high-performance data solutions within Palantir Foundry.Data modelling, Ontology design, and database optimisation knowledge, with samples of logical/physical models that reflect proficiency within a Foundry context.Ability to monitor, troubleshoot, and tune Palantir Foundry ...

Senior Manager -Associate Director, Data Architect, Government & Public Service, AI & Data, Defence & Security

Hiring Organisation
Deloitte
Location
Manchester, Greater Manchester, United Kingdom
Salary
£ 100 K
skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data.Experience of Data Ontology (Data Catalogue, Data Dictionary and Data Lineage)Experience of producing diagrams representing key data entities and their relationshipsAbility to define the processes to capture, transform ...

Naimuri - Senior Data Scientist

Hiring Organisation
QinetiQ
Location
Manchester, Greater Manchester, United Kingdom
Salary
£ 60 K
communicating them to stakeholders.Nice to haves:Experience with any of the following specialisms: Data Synthesis, Test and Evaluation, AI Assurance, Knowledge Graphs and Ontologies, Data Governance and Compliance, or Deepfake Detection.Creating Python-based applications and/or APIs.A degree in a field like data science, physics, computational science, mathematics ...

Data Modeller

Hiring Organisation
HSBC Group
Location
Sheffield, UK
Employment Type
Full-time
Data Modeller to help shape how HSBC defines, organises and connects business terms across the Group. You'll build high-quality glossaries, taxonomies and ontologies that create a shared semantic layer - so our data can be understood consistently and used by AI to answer questions across teams, faster and with … reusable"Join the dots" across teams/domains to help build a shared semantic layer that supports cross-boundary understanding and consistencyContribute to ontology development (the layer between taxonomies) to enable AI to query and reason across multiple teams, products and datasets - turning terminology into a connected, machine-interpretable knowledge ...