ML Platform Engineer β€” MLOps & Production ML in Burton upon Trent

ML Platform Engineer β€” MLOps & Production ML in Burton upon Trent

Burton upon Trent Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
The FA

At a Glance

  • Tasks: Design and operate production-grade ML pipelines for scalable model deployment.
  • Company: The Football Association, a leading sports organisation in England.
  • Benefits: Hybrid work model, access to iconic venues, and opportunities for professional growth.
  • Other info: Work in a collaborative environment with access to top-tier facilities.
  • Why this job: Join a dynamic team and influence data-driven decisions in football.
  • Qualifications: Experience in ML engineering and familiarity with analytics pipelines.

The predicted salary is between 60000 - 80000 Β£ per year.

The Football Association (The FA) is seeking an ML Engineer to design and operate production-grade ML and analytics pipelines, enabling scalable model deployment and observability.

You will collaborate with data science and analytics teams, ensuring compliant, secure, and cost-aware ML services across FA platforms.

Join a hybrid team with access to Wembley Stadium and the Elite Performance Centre, St.

George's Park, Staffordshire, while contributing to data-driven decision making across English

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ML Platform Engineer β€” MLOps & Production ML in Burton upon Trent employer: The FA

The FA in Kent is an excellent employer, offering a dynamic work culture that fosters creativity and collaboration. With a hybrid working model, employees enjoy the flexibility of remote work while still benefiting from in-office teamwork. The organisation prioritises employee growth through continuous learning opportunities and a supportive environment, making it an ideal place for those seeking meaningful and rewarding careers in digital marketing.

The FA

Contact Details:

The FA Recruitment Team

We think you need these skills to ace ML Platform Engineer β€” MLOps & Production ML in Burton upon Trent

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