Europe Arbeitnow ·
full-timeSenior Engineering Manager - Machine Learning
Super · Europe
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. 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. What the role involves 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 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. What we are looking for Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field. <li class="font-claude-response-body whites
| Role | Senior Engineering Manager - Machine Learning |
|---|---|
| Company | Super |
| Location | Europe |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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