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Selected role

Senior Machine Learning Engineer - Applied ML Research

HAPPENING London, ENG, GB

Senior Full-time

As a Senior 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.

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 you be doing:

Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's a plus)
4+ years of industry experience building and deploying ML systems
Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

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.

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).

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