ABOUT US:

Through our Integrity Services, we safeguard the fairness of global sport. Our AI-powered Universal Fraud Detection System (UFDS AI) is at the heart of our market-leading technology to identify betting-related match manipulation, enabling federations, leagues, and authorities to act with confidence. Together with our comprehensive suite of Prevention, Detection, and Action solutions, we are helping to preserve trust in sport worldwide.We are also committed to supporting a safe and sustainable betting ecosystem.

Our Responsible Gaming Services use advanced technology, data analysis, and behavioral insights to help operators identify punters at risk of developing gambling-related harm. By detecting early warning signs and providing actionable tools, we empower our partners to protect their customers and promote responsible play. At our core, we combine innovation, integrity, and responsibility to shape the future of sports and betting in a way that benefits fans, players, and partners alike.

THE CHALLENGE:

As a ML Engineer at Sportradar, you will work with world leading experts to design and develop data-driven predictive models and algorithms aimed at improving Sportradar's products and services. You will explore large collections of sports and betting data, focusing on the development of AI models to detect fraud in sport and players at risk. You will work closely with product owners and technical leads in our integrity services product vertical.

The successful candidate will be knowledgeable in machine learning and statistics, be comfortable working with big datasets, will understand methods for rigid validation of results, and master different statistical analysis tools and scripting to develop and validate models and data analysis ideas.

• Analyse and explore data using statistical analysis tools and scripting.

• Develop machine learning or statistical predictive models for use in our products and services.

• Rigorously validate methods, models, algorithms and hypotheses using back-testing on historical data and/or simulations.

• Design and implement novel methods for data analysis, tailored to our sports-related application domains.

• Propose new ways of using data to improve our products and services.

• Work closely with product owners and technical leads in our integrity services product vertical.

• Present ideas and solutions to software developers and business stakeholders in a clear and understandable way.

YOUR PROFILE:

• Bachelor of Computer Science / Engineering, or related field; equivalent experience is also acceptable.

• Good knowledge of programming in Python with demonstrable hands-on experience.

• Demonstrated competency in the following areas: machine learning and/or statistics, efficiently working with big data.

• Good knowledge of SQL.

• Bonus: Experience with development in Java.

• Bonus: Hands-on experience with big data frameworks (Flink, Spark) and/or cloud solutions (AWS S3, Redshift, Athena).

• Fluent in English (written and spoken).

• Autonomous, rigorous, creative and a team player.

OUR OFFER:

• A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding. 

• Flexibility to manage your workday and tasks with autonomy. 

• A balance of structure and autonomy to tackle your daily tasks. 

• Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. 

• Global Employee Assistance Programme. 

• Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). 

• Online training videos. 

• Flexible working hours. 

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a hybrid model, with team members working in the office three days a week to build relationships, exchange ideas, and grow together. 

​​​​​​​

OUR RECRUITMENT PROCESS:

• Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. 
• First interview: First meeting with Hiring Team to dive into your experience, skills and technical knowledge.
• Second Interview: With SVP, AI - optional.
• Final Steps: Receive feedback and, if successful, an offer!