Senior Machine Learning Engineer

Company Description

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description

Job Description 

Join our division, “Sportradar ad:s”, where we provide data-driven marketing and sponsorship services to the iGaming industry. Our purpose-built tools and services cater to the individual marketing needs of sportsbooks and media publishers worldwide. Imagine working in an environment surrounded by sports data, live play-by-play statistics, virtual sports, microservices, and betting – all while maintaining an agile mindset and a commitment to delivering exceptional value for our customers. We’re passionate about our work and deeply care about our people. If you’re ready for the challenge, join us in growing, innovating, and developing!     

THE CHALLENGE:  

As a (Senior) ML Engineer in the AI team at Sportradar, you will have the opportunity to shape and contribute to all components of our AI stack—from the initial idea to the final product. Your work will span model training and fine-tuning, MLOps, deployment and monitoring, ensuring our 
AI-driven solutions are scalable, efficient, and impactful.  

We follow an experiment-based approach, continuously testing new ideas, analyzing results, and sharing insights across the division to drive innovation. You will collaborate closely with sales and product managers to develop cutting-edge AI solutions that enhance our marketing and sponsorship services. Our technology stack relies on scalable microservices hosted in the cloud, allowing us to build flexible and high-performance AI-powered products.   

From a technical perspective, our AI solutions are built on a scalable, cloud-native architecture within AWS.  
 
Key Responsibilities:   

• Contribute and grow as part of a self-organized, agile software development team    

• Build our advertising technologies - from understanding the requirements to creating the fully functional data/AI solutions  

• Design and craft highly scalable, fault-tolerant ML/AI systems, while keeping your focus on quality, observability and security   

• Engage in a supportive, collaborative team environment and contribute to maintaining a positive culture   

• Share ideas and insights to different stakeholders within the division  

ABOUT YOU:   

• Professional experience in Data Science, Machine Learning, or AI engineering, with a focus on Natural Language Processing (NLP), Speech Recognition, or Computer Vision. Experience with Generative AI is a strong plus.  

• Strong problem-solving skills and the ability to think critically when designing AI-driven solutions.  

• Hands-on experience with ML model training, fine-tuning, deployment, and monitoring. Experience with cloud-based solutions (AWS SageMaker and Bedrock) is a strong plus.  

• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.  

• Experience working in agile/lean environments, with a mindset for continuous learning and improvement.  

• Strong ownership, curiosity, and a drive to explore new AI technologies and methodologies.  

YOU MIGHT BE A GOOD FIT IF YOU :

• Challenge assumptions, bring opposing perspectives, and elevate technical discussion. 

• Collaborate with product and business stakeholders to define ML strategy and ensure alignment with long-term goals.

OUR OFFER: 

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

• Ability to shape your own workday and career via a clearly defined professional and personal development plan.  

• Opportunity to work with senior leadership, develop yourself and build your career within an inspiring and fast-growing company and digital sports environment.  

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

• A company culture that promotes social aspects, sports, physical exercise and fun.   

• Innovative and cross-team challenges like ShipIt, office sports tournaments in Darts and Table Tennis and unique beer brewing competitions.   

• Competitive salary and benefits (e.g. retirement pension and insurance plan)   

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