Hybrid AI Engineer for Production ML & Tools

Hybrid AI Engineer for Production ML & Tools

Full-Time 72000 - 88000 Β£ / year (est.) Home office (partial)
Pay.UK Limited

At a Glance

  • Tasks: Design, build, and deploy AI/ML models for internal tools and workflows.
  • Company: Join Pay.UK, a leader in high-reliability AI applications.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
  • Other info: Be part of a forward-thinking team with exciting projects.
  • Why this job: Make a real impact by applying AI in a dynamic environment.
  • Qualifications: Experience in AI/ML and strong collaboration skills required.

The predicted salary is between 72000 - 88000 Β£ per year.

Pay.

UK is seeking an AI Engineer to apply AI in a high-reliability environment.

You will design, build and deploy AI/ML models that support internal tools, workflows and decision making across the organisation.

You will collaborate with engineering, data and business teams to translate requirements into usable AI applications, ensuring performance, monitoring and clear technical documentation throughout the lifecycle.

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Hybrid AI Engineer for Production ML & Tools employer: Pay.UK Limited

At Pay.UK, we pride ourselves on being an exceptional employer that values diversity, inclusivity, and employee growth. Our supportive work culture fosters collaboration and innovation, providing opportunities for professional development while ensuring a healthy work-life balance with generous benefits such as 30 days of annual leave and a flexible working policy. Join us in our mission to maintain the UK's retail payment systems and be part of a team that makes a meaningful impact on the economy.

Pay.UK Limited

Contact Details:

Pay.UK Limited Recruitment Team

We think you need these skills to ace Hybrid AI Engineer for Production ML & Tools

AI/ML Model Design
Deployment of AI/ML Models
Collaboration with Engineering Teams
Collaboration with Data Teams
Collaboration with Business Teams
Requirements Translation
Performance Monitoring