Staff Machine Learning Engineer - Applied ML & Research

NetherlandsOn-site

Responsibilities

Identify high-impact ML opportunities and influence stakeholders to prioritise 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
Set and guide technical direction across ML projects, ensuring alignment with technical best practices and business goals
Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement
A track record of shipping production-level ML products and maintaining high code quality

As a Staff Machine Learning Engineer in the Applied ML & Research team, you'll drive the development of machine learning solutions that power critical features across our online gaming platforms.
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 through cross-functional collaboration.
Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field
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 such as PyTorch, XGBoost, and 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
Excellent problem-solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Nice to have
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 such as Kafka
Contributions to open-source ML projects or publications in ML conferences What we offer

Medical / Health Insurance Open Annual Leave
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision.

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.
Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.
Translate complex technical concepts into clear insights for both technical and non-technical stakeholders
benefits vary by country and will be shared during the hiring process. 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.