Machine Learning Engineer (m/f/d)
Sportradar is looking for a Machine Learning Engineer to join its AI Unit, an established, high-performing team of AI experts working on the design, development, and deployment of advanced machine learning models that power sports betting, trading, media, and sports performance products. As part of the AI team, the engineer will leverage Sportradar's unique sports datasets, betting transaction data, user interaction data, and large-scale tracking data to develop innovative AI and analytics solutions. Depending on expertise and interests, work may focus on predictive analytics for sportsbook risk management and liquidity-driven odds trading, or on generative AI and deep learning solutions for sports performance modelling, simulation, and virtualization. The engineer will collaborate closely with product owners, technical leads, and software engineers to transform AI research into scalable production systems that deliver measurable business impact across Sportradar's product portfolio.
- Analyse, explore, and visualize large-scale datasets using statistical methods and modern data science tools.
- Develop machine learning models ranging from predictive and statistical models to deep learning and generative AI solutions.
- Design and implement data processing, training, validation, and inference pipelines for production-grade AI systems.
- Rigorously validate methods, models, algorithms, and hypotheses through historical back-testing, simulations, and experimentation.
- Bring AI solutions into production leveraging Sportradar's AI platform, ensuring model monitoring, maintenance, and continuous improvement.
- Design innovative approaches for analysing sports, betting, tracking, and behavioural data to enhance products and services.
- Collaborate with product and engineering teams to integrate model outputs into real-world product experiences.
- Present complex technical concepts and findings to both technical and non-technical stakeholders.
- Strong knowledge of machine learning, statistics, and data science (required).
- Proven software engineering experience and strong programming skills in Python and Java (required).
- Experience building and deploying production-grade ML solutions (required).
- Proficiency with modern ML frameworks such as PyTorch and large-scale data processing (required).
- Advanced SQL skills and experience working with large datasets (required).
- Experience in one or more of the following areas: Predictive modelling, risk management, trading, or quantitative analytics (required).
- Experience in one or more of the following areas: Deep learning, Natural Language Processing, transformers, sequence modelling, or representation learning (required).
- Experience validating models through experimentation, simulations, and back-testing (required).
- Experience with cloud computing, preferably AWS (required).
- Experience with agentic coding tools, like Cursor or Claude code (required).
- Experience with Kafka, Flink, real-time analytics, or distributed systems (nice-to-have).
- Experience with tracking, time-series, computer vision, pose estimation, or spatiotemporal data (nice-to-have).
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (required).
- Fluent in English (written and spoken) (required).
- Autonomous, analytical, creative, and collaborative mindset (required).
- A collaborative environment with colleagues from all over the world, 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.
- Global Employee Assistance Programme.
- Access to Calm and Reulay apps.
- Online training videos.
- Flexible working hours.
Sportradar is a global sports technology company that collects, analyses and distributes sports data to betting operators, sports leagues and media companies. Headquartered in St. Gallen, Switzerland, and founded in 2001, it provides betting services, managed trading, integrity monitoring and audiovisual streaming across hundreds of sports. The company holds official data partnerships with organisations including the NBA, NHL, FIFA and ICC. Sportradar is listed on the Nasdaq stock exchange and employs several thousand people worldwide.