At a Glance
- Tasks: Lead a team to develop cutting-edge machine learning systems for gaming and sports.
- Company: Join a pioneering tech company revolutionising the future of play.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on collaboration and innovation.
- Why this job: Shape the future of gaming with innovative technology and a talented team.
- Qualifications: Master’s or Ph.D. in relevant fields and experience in machine learning leadership.
The predicted salary is between 80000 - 100000 € per year.
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.
Senior Engineering Manager - Machine Learning United Kingdom employer: Super
At Super Technologies, we are committed to fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Engineering Manager in the UK, you will not only lead a talented team in the exciting field of machine learning but also benefit from our focus on professional development and collaboration. With access to cutting-edge technology and a mission to revolutionise the gaming experience, you'll find meaningful opportunities for growth and impact in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineering Manager - Machine Learning United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects or contributions to open-source. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key in a leadership role like this.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to revolutionise the gaming experience.
We think you need these skills to ace Senior Engineering Manager - Machine Learning United Kingdom
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in machine learning and any leadership roles you've had, as we want to see how you can contribute to our mission.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about machine learning and how your background aligns with our goals at StudySmarter. Be genuine and let your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, especially in machine learning or data science, make sure to mention them. We love seeing practical applications of your skills, so include links or descriptions of your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Super
✨Know Your Machine Learning Stuff
Make sure you brush up on the latest trends and advancements in machine learning. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of how you've applied these technologies to solve real-world problems.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to talk about your leadership style. Share specific examples of how you've mentored engineers or led projects, and highlight how you foster collaboration within your team.
✨Project Management is Key
Demonstrate your ability to manage and prioritise projects effectively. Discuss how you've aligned machine learning initiatives with business goals in the past, and be ready to explain your approach to ensuring timely delivery of high-quality solutions.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to coordinate with cross-functional teams and stakeholders. Make sure you can articulate your ideas clearly and confidently.
