Senior Engineering Manager - Machine Learning

United KingdomOn-site

Responsibilities

Design, develop, and deploy advanced machine learning models to solve complex business problems.
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 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 whilst building strong partnerships with product management and stakeholders.

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.
Stay updated with the latest trends and advancements in machine learning and AI technologies.
Master's or Ph.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.
Excellent problem-solving skills and the ability to work both independently and collaboratively.
Experience in the gaming or entertainment industry. •
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. Kaggle). •
Publications in top AI conferences such as AAAI, IJCAI, NeurIPS, ICML, or ICLR. 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.
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.
Strong communication and interpersonal skills. Nice to have •
Experience training and fine-tuning large-scale foundation models (e.g. GPT, BERT, T5) for various tasks.
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.