At a Glance
- Tasks: Lead a team to develop cutting-edge machine learning models for gaming and sports.
- Company: Join a pioneering tech company revolutionising online gambling and sports experiences.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic environment with strong focus on collaboration and innovation.
- Why this job: Shape the future of play with innovative technology and a talented team.
- Qualifications: Master’s or Ph.D. in relevant fields and 4+ years in machine learning roles.
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 in London employer: Super
At Super Technologies, we are committed to fostering a dynamic and innovative work culture that empowers our employees to thrive. As a Senior Engineering Manager in Machine Learning, you will not only lead a talented team but also have access to cutting-edge technology and resources that drive your professional growth. With a focus on collaboration and creativity, our UK location offers a vibrant environment where your contributions will directly impact the future of sports and gaming experiences.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineering Manager - Machine Learning United Kingdom in London
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's GitHub repos or a personal website, let your work speak for itself. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and soft skills. Practice explaining complex concepts in simple terms, as communication is key in this role. Mock interviews with friends can help you feel more confident.
✨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 in London
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. 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 explain why you're passionate about the role and how your background aligns with our goals at StudySmarter. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects:If you've worked on relevant machine learning projects, make sure to include them in your application. Whether it's a personal project or something from your previous job, we want to see your hands-on experience and creativity!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Let’s get started on this journey together!
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 Python, TensorFlow, or any other relevant frameworks. They’ll want to see that you’re not just familiar with the tech but can also apply it to solve real-world problems.
✨Showcase Your Leadership Skills
Since this role involves managing a team, be prepared to share examples of how you've led and mentored others. Talk about specific projects where you coordinated with cross-functional teams and how you fostered a collaborative environment. They’ll be looking for someone who can inspire and guide their team.
✨Project Management is Key
Highlight your experience in managing machine learning projects. Discuss how you prioritised tasks to align with business goals and ensured timely delivery of high-quality solutions. Being able to articulate your project management skills will set you apart from other candidates.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
