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. 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 revolutionise the online gambling and sports betting experience. From predictive analytics and personalisation to fraud detection and real‐time recommendations, the team transforms complex data into actionable insights that enhance customer engagement, trust, and satisfaction. In this role, you'll split your time between technical contribution, project coordination, and people management — helping your team succeed whilst staying close to the code.

Technical expertise 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.

Project management 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 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. D. in Computer Science, Data Science, Machine Learning, or a related field. 4+ years of experience in machine learning and data science roles. 5+ years of experience leading and managing engineering teams, supporting the growth and performance of engineers.

Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Experience with cloud computing platforms, primarily AWS, and containerisation technologies such as Docker and Kubernetes.

Experience with tools and technologies such as Spark, Snowflake, Qwak, MLflow, and Airflow. Contributions to open‐source AI/ML projects or participation in AI/ML competitions (e.g.

Experience training and fine‐tuning large‐scale foundation models (e.g. Publications in top AI conferences such as AAAI, IJCAI, NeurIPS, ICML, or ICLR. Medical / Health Insurance Training & Learning Development We are a integral 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.

📌 Senior Engineering Manager - Machine Learning (La Mancha)
🏢 Super
📍 La Mancha