Applied AI Engineer: Production ML for Live Events in London

Applied AI Engineer: Production ML for Live Events in London

London Full-Time 70000 - 90000 Β£ / year (est.) No working from home possible
R

At a Glance

  • Tasks: Transform cutting-edge AI into practical solutions for live events and venues.
  • Company: Join PMY Group, a leader in innovative tech for live experiences.
  • Benefits: Enjoy flexible hours, remote work, and great growth opportunities.
  • Other info: Be part of a dynamic team in a fast-paced environment.
  • Why this job: Make a real impact by embedding AI into exciting live workflows.
  • Qualifications: Strong Python/SQL skills and cloud experience required.

The predicted salary is between 70000 - 90000 Β£ per year.

PMY Group is seeking an Applied AI / ML Engineer to join its London-based EMEA team.

You will turn cutting-edge AI into practical, production-ready solutions for live venues and large events, collaborating with product, engineering and design to embed AI into real workflows.

The role emphasizes end-to-end ML lifecycle ownership, deployment, monitoring, and governance, with strong Python/SQL skills and cloud experience.

Remote-friendly, flexible hours and opportunities for growth are offered.

#J-18808-Ljbffr

Applied AI Engineer: Production ML for Live Events in London employer: RGIT Australia

RGIT Australia is an outstanding employer that fosters a dynamic and inclusive work culture, perfect for those passionate about the beauty industry. With hybrid working options and competitive benefits, employees are encouraged to grow and thrive in their careers while contributing to the success of innovative product portfolios. Join us in a vibrant environment where your expertise in product marketing can truly shine and make a meaningful impact.

R

Contact Details:

RGIT Australia Recruitment Team

We think you need these skills to ace Applied AI Engineer: Production ML for Live Events in London

Python
Problem-Solving Skills
Communication Skills
SQL
Data Engineering
Data Pipeline Development
API Integration