Senior Engineering Manager - Machine Learning in London

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.

About The Role

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.

We’re looking for someone who has:

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field
• Proven experience (4+ years) in machine learning and data science roles
• Proven experience (2+ years) leading / 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 (e.g., Docker, Kubernetes)
• Excellent problem‑solving skills and the ability to work independently and collaboratively
• Strong communication and interpersonal skills

Preferred qualifications:

• 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

What you’ll be doing:

• 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.
• People Management: 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.

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.