Senior ML Platform Engineer — Real-Time Data & Scale

Senior ML Platform Engineer — Real-Time Data & Scale

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
Super

At a Glance

  • Tasks: Drive backend services and data pipelines for a cutting-edge ML Platform.
  • Company: Join Super, a forward-thinking company revolutionising ML technology.
  • Benefits: Enjoy competitive salary, flexible work options, and opportunities for mentorship.
  • Other info: Collaborative environment with exciting growth potential in the tech industry.
  • Why this job: Make a real impact on ML adoption and shape the future of technology.
  • Qualifications: Experience in backend development and a passion for mentoring others.

The predicted salary is between 80000 - 100000 £ per year.

Super is building a brand-new ML Platform to empower the entire Engineering organisation.

As a Senior Engineer in the ML Platform squad, you will drive backend services, data pipelines, and tooling to enable ML adoption across teams, with focus on security, performance, and scalable data‑driven decisions for hundreds of thousands of users daily.

You will mentor junior engineers, collaborate with data scientists and product teams, and help shape the ML roadmap through cross‑functional work.

#J-18808-Ljbffr

Senior ML Platform Engineer — Real-Time Data & Scale employer: Super

Superbet is an exceptional employer that fosters a dynamic work culture where innovation and strategic thinking thrive. Located in a vibrant environment, employees benefit from comprehensive growth opportunities, collaborative teamwork, and the chance to directly impact high-level decisions within the company. With a focus on actionable insights and competitive intelligence, Superbet empowers its staff to contribute meaningfully to the organisation's success.

Super

Contact Details:

Super Recruitment Team

We think you need these skills to ace Senior ML Platform Engineer — Real-Time Data & Scale

Backend Development
Data Pipeline Engineering
Machine Learning
Security Best Practices
Performance Optimisation
Scalability
Cross-Functional Collaboration