Senior Engineering Manager - Machine Learning

We’re looking for a hands-on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. By combining cutting-edge applied machine learning, foundational research, and seamless ML operations, the team harnesses data to revolutionize the online gambling and sports betting experience. From predictive analytics and personalization to fraud detection and real-time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. By leveraging machine learning to create smarter systems and deeper customer understanding, the team plays a pivotal role in shaping the future of the company, fostering a data-driven culture, and ensuring we deliver unparalleled experiences to our players.

In this role, you’ll split your time between technical contribution, project coordination, and people management — helping your team succeed while staying close to the code.

• Experience in the gaming or entertainment industry
• Experience working with tools and technologies such as Spark, Snowflake, Qwak, MLFlow, Airflow, etc
• Contributions to open-source AI/ML projects or participation in AI/ML competitions (e.g., Kaggle)
• Experience with training and fine-tuning large-scale foundation models (e.g., GPT, BERT, T5) for various tasks
• Publications in top AI conferences, such as AAAI, IJCAI, NeurIPS, ICML, ICLR

• →Design, develop, and deploy advanced machine learning models to solve complex business problems
• →Stay updated with the latest trends and advancements in machine learning and AI technologies
• →Conduct code reviews and ensure best practices in model development and deployment

• Manage and prioritise machine learning projects to align with business goals and objectives
• Ensure timely delivery of high-quality machine learning solutions
• Coordinate with cross-functional teams to integrate machine learning models into production systems

• Lead and mentor a team of 4-5 talented data scientists and ML engineers, providing guidance and support in their day-to-day activities
• Oversee the execution, development, growth and performance of the ML team
• Foster a collaborative and innovative team environment while building strong partnerships with product management and stakeholders

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.

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.