5 of 5 Permanent Vertex AI Jobs in the North of England

TITLE: Manager, Markets & AI Modelling - AI Risk Oversight (MRO) SALARY: £81,999 - £91,110 LOCATION(S): Halifax, Birmingham, Bristol, Cardiff, Edinburgh and Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week … time, at one of our office sites. About this Opportunity We have an exciting opportunity for an experienced AI Risk Oversight candidate to join the Markets & AI Modelling team within the Model Risk Office [MRO] as Manager, in the newly established AI Risk Oversight ...

really useful Java Quarkus. GKE, APIGEE, Networking & Security products on GCP. Messaging systems such as GCP Pub/Sub, Kafka. Integrating with AI products such as Vertex AI on GCP (Gemini, Workbench). AI Prompt Engineering. Google Cloud Certification. Kubernetes Certification. About ...

TITLE: Lead Data & AI Scientist SALARY: £70,929 - £78,810 per annum LOCATION: Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. Join our team … plays a critical role in providing services across the whole Group. About this opportunity We're looking to recruit a Lead Data & AI Scientist to lead on the delivery of sophisticated methods to a wide range of Economic Crime Prevention (ECP) use cases including, natural language processing, generative ...

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 ...

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 ...