ABOUT SOFASCORE
Sofascore is a sports-tech company created with one goal in mind – giving sports enthusiasts a deeper understanding of the game.
Our platform is the leading provider of advanced sports insights. From the biggest derbies to amateur matches, every game counts - that’s why we have the largest data coverage with 20,000+ tournaments across 25 sports. This comes easy with Torneo, our very own tournament management software for lower leagues.
The global recognition of the Sofascore Rating, along with the Player of the Season award for the highest-rated players, positioned us as the authority in evaluating player performance.
The Sofascore team counts more than 300 experts in 20 teams, primarily playing at our home court in Croatia, but we also have talents showing their skills worldwide.
More about the company /// More about the platform
ABOUT THE ROLE
At Sofascore, we are passionate about redefining the sports experience for millions of users worldwide through cutting-edge technology. We are looking for an experienced Senior Machine Learning Engineer to join our AI Team. This is a key role for someone eager to apply advanced ML techniques in production at scale, contributing to projects that directly impact our users: recommender systems, personalized feeds, sentiment analysis, and semantic search.
As a Senior ML Engineer, you will be responsible not only for developing state-of-the-art models but also for ensuring their robustness, scalability, and seamless deployment into production environments. You will work closely with other engineers, data scientists, and product teams to deliver intelligent, reliable, and high-performing solutions.
Your responsibilities
- Design, build, and deploy production-ready ML systems with high reliability and scalability.
- Develop, evaluate, and optimize recommender systems, feed systems, and NLP-driven solutions (e.g., sentiment analysis, semantic search).
- Implement robust MLOps practices using Docker, Kubernetes, and cloud platforms.
- Collaborate on system design, data pipelines, and end-to-end lifecycle management of ML models.
- Write clean, maintainable, and high-quality code following engineering best practices.
- Mentor and support less experienced colleagues, setting standards for technical excellence within the team.
What we are looking for
- 5+ years of industry experience working on machine learning projects, with a proven track record of delivering models into production.
- Strong knowledge of recommender systems, NLP methods, and modern ML architectures (including transformers and LLMs).
- Proficiency in Python (or similar), with excellent coding and debugging skills.
- Hands-on experience with containerization, orchestration, and deployment technologies (Docker, Kubernetes).
- Strong understanding of MLOps, CI/CD pipelines, monitoring, and model lifecycle management.
- Ability to design scalable solutions, from prototype to production.
- Strong problem-solving mindset, curiosity, and passion for innovation.
What sets you apart
- Experience working on large-scale consumer-facing ML systems.
- Familiarity with cutting-edge LLM applications and their integration into production systems.
- Research background, evidenced by impactful contributions, publications, or applied innovations.
- Experience mentoring and providing technical leadership in a collaborative team environment.
What we offer
- The opportunity to work with a cutting-edge sports platform impacting millions worldwide
- Family benefits package
- Education - internal and through international conferences and workshops
- Top quality equipment and budget for Mobile phone
- Paid package of general physical examination once a year
- Sofascore Canteen (lunch options)
- Sofascore Bar (coffee and drinks on us)
- Numerous other benefits that we would verbally communicate to you
Skills Required
- 5+ years of industry experience working on machine learning projects
- Strong knowledge of recommender systems, NLP methods, and modern ML architectures
- Proficiency in Python (or similar), with excellent coding and debugging skills
- Hands-on experience with containerization, orchestration, and deployment technologies (Docker, Kubernetes)
- Strong understanding of MLOps, CI/CD pipelines, monitoring, and model lifecycle management
- Ability to design scalable solutions, from prototype to production
- Strong problem-solving mindset, curiosity, and passion for innovation
What We Do
Every day millions of sports fans enjoy using Sofascore, one of the best sports platforms in the world. Sofascore has everything a sports fan needs – the fastest live score and super-detailed statistics for 25 sports. However, our relentless enthusiasm for sports and technology has spilled into things much more sophisticated. It is our unique products such as Sofascore Ratings, Heatmaps, Shotmaps, Attack Momentum and Attribute Overview that set us apart from the rest – and are the key factor that helped us reach 28 million monthly active users. Created by our constant drive to translate raw data into appealing and intuitive insights, these products represent graphical summaries of key football statistics. They are our answer to the needs of a modern, informed sports fan who wants much more than scores – but wants it fast. We believe that what got us here will take us much further too; acting on our endless drive for sports and technology and reacting on every single piece of users’ feedback. Because, although we created Sofascore, we are but a tiny fragment of the huge Sofascore community. With that in mind – we push on!
