Senior Engineering Manager - Machine Learning
United Kingdom
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!
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. The role balances technical contribution, project coordination, and people management.
Responsibilities
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 enforce best practices in model development and deployment.
Project Management
- Manage and prioritise machine learning projects to align with business goals.
- Ensure timely delivery of high quality machine learning solutions.
- Coordinate with cross functional teams to integrate models into production systems.
People Management
- Lead and mentor a team of 4 5 data scientists and ML engineers, providing guidance and support.
- 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.
Qualifications
- 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 and 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.
- 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.
This role is open for applications. If you are ready to lead a talented team and shape the future of play, we encourage you to apply.