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. 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 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.

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 through cross‐functional collaboration. 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 Master's degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science,



or a related field ~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 ~ A track record of shipping production‐level ML products and maintaining high code quality ~ Excellent problem‐solving skills and the ability to scope and disambiguate complex ML projects into clear, achievable milestones Hands‐on experience with AWS services (e.EC2, EKS, CloudFormation, Cognito) Exposure to streaming data platforms such as Kafka Contributions to open‐source ML projects or publications in ML conferences Medical / Health Insurance Training & Learning Development We are a general 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. Super is committed to the highest standards of compliance, safety, and responsibility.

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

📌 Staff Machine Learning Engineer - Applied Ml & Research (La Mancha)
🏢 Super
📍 La Mancha