26 to 29 of 29 Permanent Vertex AI Jobs

Google Cloud Data Engineer

Hiring Organisation
International Business Solutions Consulting Limited
Location
bradley stoke, south west england, united kingdom
desirably have Good familiarity with IDE platforms (eg, Backstage IDP), understanding of GCP Data Products: Cloud SQL, GCS, Pub/Sub, Dataflow, BigQuery, Vertex AI. JBRP1_UKTJ ...

Machine Learning Engineer

Hiring Organisation
JLA Resourcing Ltd
Location
City of London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£70,000
bold ambitions and a clear mandate to move quickly. A key part of this journey is the Intelligent Automation function, which is delivering AI and GenAI-driven optimisation across core services. This is a fantastic chance to join a growing team where your work will be visible, meaningful … NoSQL databases. Hands-on ownership of CI/CD (Jenkins/Azure DevOps/GitHub Actions) and MLOps in Azure ML/Azure AI Foundry/SageMaker/Vertex AI. Working knowledge of Infrastructure as Code (Bicep, ARM, Terraform). A test-driven development mindset ...

Consumer Lending Data Scientist

Hiring Organisation
Datatech Analytics
Location
Avon, South West, United Kingdom
Employment Type
Permanent, Work From Home
deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping … Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will ...

Consumer Lending Data Scientist

Hiring Organisation
Datatech
Location
Edinburgh, Manchester, United Kingdom
Employment Type
Permanent
deploy containerised models and support production ML workflows Working with product and risk stakeholders to identify and shape high value ML and AI use cases Operating within a clear model risk and governance framework, with room to experiment and learn Presenting findings in plain language and helping … Experience of the ML lifecycle, ideally including production or near production environments Exposure to modern cloud and analytics tooling, for example BigQuery or Vertex, and BI tools Interest in credit cards or consumer lending, and how ML and AI can improve fairness and outcomes You will ...