Senior Engineering Manager - Machine Learning

Super Technologies; Netherlands; On-site; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Annual Leave

Employee Assistance Programme

Training & Learning Development

Job summary

Super Technologies seeks a hands-on Senior Engineering Manager for Applied Machine Learning & Research to drive ML systems across our platform. You will split your time between technical contributions, project coordination, and people management, guiding a small team of data scientists and ML engineers.

You will lead model development, deployment, and collaboration with product and stakeholders, while staying current with ML trends and best practices in a fast-paced entertainment tech

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
• 4+ years of experience in machine learning and data science roles.
• 5+ years of experience leading and managing engineering teams, supporting 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 such as Docker and Kubernetes.
• Excellent problem-solving skills and the ability to work both independently and collaboratively.
• Strong communication and interpersonal skills.

Responsibilities

• 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.
• 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.
• 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.

Skills

Machine Learning

Leadership

Python

TensorFlow

PyTorch

JAX

AWS

Docker

Kubernetes

Communication

Education

Master’s or PhD in CS/DS/ML or related

Tools

Spark

Snowflake

Qwak

MLflow

Airflow

Kubernetes

Job description

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.
• 4+ years of experience in machine learning and data science roles.
• 5+ years of experience leading and 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 such as Docker and Kubernetes.
• Excellent problem-solving skills and the ability to work both independently and collaboratively.
• Strong communication and interpersonal skills.

Nice to have

• Experience in the gaming or entertainment industry.
• Experience with tools and technologies such as Spark, Snowflake, Qwak, MLflow, and Airflow.
• Contributions to open-source AI/ML projects or participation in AI/ML competitions (e.g. Kaggle).
• Experience 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, or ICLR.

What we offer

• Medical / Health Insurance
• Open Annual Leave
• Employee Assistance Programme
• Training & Learning Development

Additional benefits vary by country and will be shared during the hiring process.

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. Want to explore our culture in more detail? Visit our careers page: super.xyz/careers

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.