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- Tasks: Drive development of cutting-edge ML solutions for online gaming platforms.
- Company: Global tech company focused on entertainment and fan-centric experiences.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Join a dynamic team with global reach and excellent career advancement opportunities.
- Why this job: Make a real impact on user experience and platform security with innovative ML technologies.
- Qualifications: Master’s degree in relevant field and 7+ years of ML experience required.
The predicted salary is between 36000 - 60000 £ per year.
It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.
As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact 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’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.
What you’ll be doing:
- Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
- Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
- Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
- Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
- Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
- Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.
We’re looking for someone with:
- Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 7+ years of industry experience building and deploying ML models at scale.
- Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
- Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
- Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
- Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
- A track record of shipping production-level ML products and maintaining high code quality.
- Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.
Bonus points for:
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
- Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
- Exposure to streaming data platforms like Kafka.
- Contributions to open-source ML projects or publications in ML conferences.
About us: We are a global technology company dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams.
Shaping the future of play: At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play. Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities.
Global recognition and standards: The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion. 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).
Staff Machine Learning Engineer - Applied ML & Research employer: Superbet
Contact Detail:
Superbet Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer - Applied ML & Research
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can make you stand out in interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and ML concepts. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Staff Machine Learning Engineer - Applied ML & Research
Some tips for your application 🫡
Show Your Passion for ML: When writing your application, let your enthusiasm for machine learning shine through! Share specific examples of projects you've worked on and how they relate to the role. We want to see your excitement for developing cutting-edge solutions.
Tailor Your CV: Make sure your CV is tailored to highlight your experience with Python, SQL, and ML tools. We’re looking for someone who can lead technical initiatives, so emphasise your leadership skills and any cross-functional collaboration you've done in the past.
Be Clear and Concise: In your written application, clarity is key! Avoid jargon where possible and explain complex concepts in a way that’s easy to understand. Remember, we want to see how you can communicate effectively with both technical and non-technical stakeholders.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Superbet
✨Know Your ML Stuff
Make sure you brush up on your machine learning fundamentals. Be ready to discuss your experience with building and deploying models, especially using Python libraries like PyTorch and Scikit-learn. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to real-world applications.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex ML projects in the past. Break down your thought process and highlight how you scoped out challenges into manageable milestones. This will demonstrate your ability to lead cross-functional initiatives effectively.
✨Communicate Clearly
Since you'll be translating complex technical concepts for both technical and non-technical stakeholders, practice explaining your work in simple terms. Think about how you can convey your ideas clearly and concisely, as this is crucial for influencing stakeholders and guiding technical direction.
✨Be Ready to Mentor
They’re looking for someone who can foster a culture of knowledge sharing. Be prepared to discuss your mentoring experiences and how you’ve helped junior engineers grow. This shows that you’re not just a tech whiz but also a team player who values collaboration and continuous improvement.