Enterprise AI Engineer β€” Automations & ML Innovation

Enterprise AI Engineer β€” Automations & ML Innovation

Full-Time 69750 - 85250 Β£ / year (est.) No working from home possible
Iceland Foods Ltd.

At a Glance

  • Tasks: Build enterprise-grade AI and ML solutions to drive innovation at Iceland Foods.
  • Company: Join the expanding AI Squad at a leading retail company.
  • Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on secure and scalable systems.
  • Why this job: Make a real impact by developing cutting-edge AI-powered automations and workflows.
  • Qualifications: Experience in AI and ML development, with a passion for responsible tech.

The predicted salary is between 69750 - 85250 Β£ per year.

Iceland Foods Ltd. is expanding its AI Squad and seeks an AI Engineer to build enterprise-grade AI and ML solutions for the business.

You will develop AI-powered automations, multi-agent workflows, and predictive models using Microsoft AI Foundry, Agent Framework and Azure ML.

You will collaborate with stakeholders, ensure secure, scalable and observable systems, and contribute to architectural decisions while advancing responsible AI practices.

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Enterprise AI Engineer β€” Automations & ML Innovation employer: Iceland Foods Ltd.

Iceland Foods Ltd. is an excellent employer that values its HR professionals by providing a supportive work culture and opportunities for growth within the dynamic environment of Deeside. Employees benefit from competitive perks such as discounts at Iceland stores, generous holiday entitlement, and free onsite parking, making it a rewarding place to develop your career in HR case management.

Iceland Foods Ltd.

Contact Details:

Iceland Foods Ltd. Recruitment Team

We think you need these skills to ace Enterprise AI Engineer β€” Automations & ML Innovation

AI and ML Solutions Development
Microsoft AI Foundry
Agent Framework
Azure ML
Automation Development
Multi-Agent Workflows
Predictive Modelling