Senior Engineering Manager - Machine Learning

Senior Engineering Manager - Machine Learning

Full-Time 80000 - 100000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team to develop cutting-edge machine learning systems for sports and gaming.
  • Company: Join Super Technologies, a global leader in entertainment and fan experiences.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Dynamic international environment with a commitment to diversity and inclusion.
  • Why this job: Shape the future of play with innovative technology and impactful projects.
  • Qualifications: Master’s or Ph.D. in relevant fields and strong programming skills required.

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. From predictive analytics and personalization 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 while staying close to the code.

We’re looking for someone who has:

  • 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, 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 (e.g., Kaggle)
  • 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

What you’ll be doing:

  • 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 talented 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 while building strong partnerships with product management and stakeholders.

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. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.

Shaping the Future of Play

Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day.

Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.

Senior Engineering Manager - Machine Learning employer: Super Technologies

Super Technologies is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a commitment to employee growth, we provide opportunities for professional development and mentorship within a diverse team of over 5,000 individuals across multiple countries. Our culture prioritises integrity and responsibility, ensuring that every team member contributes to shaping the future of entertainment while enjoying a fulfilling career in the exciting fields of machine learning and technology.

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Contact Detail:

Super Technologies Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Engineering Manager - Machine Learning

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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, especially those that highlight your experience with Python and deep learning frameworks. This will give you an edge and demonstrate your hands-on expertise.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past experiences and how they relate to the role. Practice common interview questions and think about how you can showcase your leadership abilities.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our mission to revolutionise the gaming and sports experience.

We think you need these skills to ace Senior Engineering Manager - Machine Learning

Machine Learning
Data Science
Python Programming
Deep Learning Frameworks (TensorFlow, PyTorch, JAX)
Cloud Computing (AWS)
Containerisation Technologies (Docker, Kubernetes)
Project Management

Some tips for your application 🫡

Show Your Passion:When writing your application, let your enthusiasm for machine learning and the gaming industry shine through. We want to see how your passion aligns with our mission to revolutionise play!

Tailor Your CV:Make sure your CV highlights relevant experience in machine learning and team management. We’re looking for specific examples that demonstrate your skills and how you’ve led teams to success.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior Engineering Manager role.

Apply Through Our Website:Don’t forget to submit your application through our careers page! It’s the best way for us to receive your details and get the ball rolling on your journey with us.

How to prepare for a job interview at Super Technologies

Know Your Machine Learning Stuff

Make sure you brush up on the latest trends and technologies in machine learning. Be ready to discuss your experience with frameworks like TensorFlow or PyTorch, and have examples of how you've applied these in real-world scenarios.

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.

Prepare for Technical Questions

Expect some technical questions that test your problem-solving skills. Practice coding challenges or case studies related to machine learning applications, as they might ask you to solve a problem on the spot.

Align with Their Vision

Research Super Technologies and their mission to revolutionise gaming and fan experiences. Be ready to discuss how your values align with theirs and how you can contribute to their goal of creating innovative solutions in the industry.