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 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
- 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
- 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 Super
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Shaping the Future of Play
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers
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.
Skills Required
- Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or related field
- Master's degree (a plus)
- 4+ years of industry experience building and deploying ML systems
- Proficiency in Python
- Familiarity with ML libraries such as PyTorch and XGBoost
- Proficiency with SQL
- Experience with Large Language Models (LLMs) and emerging ML technologies
- Ability to write maintainable, tested code and participate in code reviews following engineering best practices
- Strong problem-solving skills and ability to scope and deliver against ambiguous problems
- Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
- Hands-on experience with AWS services (EC2, EKS, CloudFormation, Cognito)
- Exposure to streaming data platforms like Kafka
- Contributions to open-source ML projects
What We Do
We are a tech & entertainment company founded in 2008, with a dream of bringing exciting, technology-powered entertainment in sports & gaming to millions of customers around the world. Our group is present in 10 countries, in terms of operations or tech hubs, with the most important markets being Romania, Belgium, and Poland. The Superbet team gathers more than 4.500 people, acting as the major driving force behind our success. Tech-powered global entertainment platform At Superbet, technology and innovation are at the heart of everything we do. Our tech hubs in Zagreb, London, and Bucharest are focused on developing the best proprietary technology, innovative products, and new ways to engage with our passionate customer base. Following record-breaking years for the Group, we are moving ever closer to our goal of exciting the world. Our plans are big - expanding our presence in Central and Eastern Europe and creating a unique experience for our customers. Our Credentials The world's largest private equity fund, Blackstone Inc., recognized our vision. That's why we received a strategic investment of 175 million euros in 2019. As leaders in compliance and best practices, we are members of the International Betting Integrity Association (IBIA) and the only company which has won four times the Best Sports Betting Operator in CEE award at the Central and Eastern European Gaming Conference (CEEGC
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