Senior Engineer, Machine Learning Platform

Senior Engineer, Machine Learning Platform

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

At a Glance

  • Tasks: Design and build scalable ML platforms, enabling real-time data processing and deployment.
  • Company: Join a pioneering tech company transforming sports and gaming experiences.
  • Benefits: Enjoy health insurance, employee support, and diverse benefits tailored to your location.
  • Other info: Collaborative culture focused on growth, mentorship, and innovation.
  • Why this job: Make a real impact on the future of gaming and fan engagement with cutting-edge technology.
  • Qualifications: 7+ years in backend engineering, strong Python skills, and experience with cloud platforms.

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

  • Senior Engineer, Machine Learning Platform
  • United Kingdom

We are on a mission to pioneer the world’s next era of play.

As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences.

Join us, and help make it the most widely used platform in the world!

From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.

As a Senior Engineer in our ML Platform squad, you will drive the development of a brand-new ML Platform for the whole Engineering organisation at Super Technologies.

You will enable adoption of ML and AI across all teams and tribes, with your work directly impacting platform security, user experience, and large-scale data‑driven decision‑making for hundreds of thousands of users daily.

This role blends hands‑on technical work with strategic thinking — you will lead by example, contribute high‑quality code, and help shape the ML roadmap through cross‑functional collaboration.

  • What the role involves
  • Design and build scalable backend services and APIs to support ML experimentation, deployment, and monitoring.
  • Re‑architect and rebuild existing data pipelines to handle real‑time data processing and support production ML models.
  • Develop tools that make it easier for ML engineers to design, test, and deploy ML pipelines.
  • Ensure platform services are robust, secure, and meet high standards for performance and reliability.
  • Collaborate with ML engineers, data scientists, and product teams to understand their needs and translate them into platform capabilities.
  • Drive adoption of ML best practices and promote reusability of tools across teams.
  • Contribute to the overall architecture and vision of the ML platform, ensuring it can scale with the company's growth.
  • Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
  • What we are looking for
  • 7+ years of professional experience as a Backend Engineer, Software Engineer, or similar role.
  • Strong programming skills in Python.
  • Proven experience designing and building distributed systems and APIs at scale.
  • Hands‑on experience with real‑time data processing frameworks (e. g. Kafka, Flink, Spark Streaming, Pulsar).
  • Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes).
  • Strong understanding of data modelling, storage systems, and streaming/processing architectures.
  • Familiarity with ML tooling such as MLflow, Zen ML, or Metaflow.
  • Familiarity with ML model lifecycle management (training, deployment, monitoring).
  • Excellent collaboration and communication skills, with the ability to work cross‑functionally.
  • Nice to have
  • Experience building or working on ML platforms or MLOps frameworks.

What we offer

  • Medical / Health Insurance
  • Employee Assistance Programme

Additional benefits vary by country and will be shared during the hiring process.

Super is committed to the highest standards of compliance, safety, and responsibility.

As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA).

At Super, we operate as a high‑performing team.

We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.

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Senior Engineer, Machine Learning Platform 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 Engineer, Machine Learning Platform

Backend Engineering
Python Programming
Distributed Systems Design
API Development
Real-Time Data Processing
Kafka
Flink