☰

»

Machine Learning Engineer (m/f/d) @ Sportradar d.o.o.

Opis delovnega mesta

ABOUT US:
We are looking for a Machine Learning Engineer to join Sportradar's 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 our AI team, you 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 your expertise and interests, your 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.

You 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.


THE CHALLENGE:
- 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.

Od kandidatov zahtevamo

ABOUT YOU:
- Strong knowledge of machine learning, statistics, and data science.
- Proven software engineering experience and strong programming skills in Python and Java.
- Experience building and deploying production-grade ML solutions.
- Proficiency with modern ML frameworks such as PyTorch and large-scale data processing.
- Advanced SQL skills and experience working with large datasets.
- Experience in one or more of the following areas: Predictive modelling, risk management, trading, or quantitative analytics. Deep learning, Natural Language Processing, transformers, sequence modelling, or representation learning.
- Experience validating models through experimentation, simulations, and back-testing.
- Experience with cloud computing, preferably AWS.
- Experience with agentic coding tools, like Cursor or Claude code.
- Bonus: Experience with Kafka, Flink, real-time analytics, or distributed systems.
- Bonus: Experience with tracking, time-series, computer vision, pose estimation, or spatiotemporal data.
- Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- Fluent in English (written and spoken).
- Autonomous, analytical, creative, and collaborative mindset.

Kandidatom ponujamo

OUR OFFER:
- A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the 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 apps (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 fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location — your local point of contact can provide further details.

OUR RECRUITMENT PROCESS:
- Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
- Technical Interview: Meet with the Technical team to discuss your background and experience and assess team fit.
- Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet.
- Final Steps: Receive feedback and, if successful, an offer!

Kontakt

https://smrtr.io/Ccchs

Klasifikacija delovnega mesta

Lokacija:
Ljubljana
Plačilo:
3.000 - 6.000 gross with bonus 5% - 10% (depends on experience) EUR / mesec
Delovni čas:
redna zaposlitev

 

Zahtevana znanja

machine learning
napredno znanje
Python
napredno znanje
Java
napredno znanje
modern ML frameworks
napredno znanje
Experience validating models
napredno znanje
cloud computing
napredno znanje

O podjetju

Sportradar is a trailblazer in global sports technology, where your skills will enhance the creation of immersive experiences for sports fans and bettors worldwide.

Established in 2001, Sportradar operates at the intersection of the sports, media, and betting industries, delivering top-tier technology solutions to sports federations, media companies, consumer platforms, and betting operators to drive business growth.

Partnered with prestigious organizations such as the NBA, ATP, NHL, MLB, NASCAR, FIFA, UEFA, Bundesliga, AFC and Conmebol, we cover nearly a million events annually across all major sports.

As part of our team, you'll leverage our extensive industry relationships and expertise to innovate and elevate the sports fan experience. Moreover, through our Integrity Services division, you'll contribute to promoting an integrity-driven environment that safeguards the sports industry.

If you're ready to embrace a pivotal role in transforming the sports industry and reimagining the sports fan experience, explore our exciting career opportunities at Sportradar.

Zakaj bi želel delati za vas

You will have an opportunity to work for and shape one of the fastest growing sports data companies in the world.

We cultivate employee communication and team spirit. Our people are not only great engineers but first and most of all amazing people with some of the most amazing hobbies making them interesting people outside of the office setting as well. We have a licensed pilot, guitarists, drummers, singers - yes our own band, two office dogs in our ranks.

As a market innovator, Sportradar is valued at $2 billion+, backed by prominent investors Ted Leonsis and Michael Jordan, and a partner to the top leagues and federations around the world including the NBA, MLB, FIFA, and UEFA.

We are a founder-led company with a fast-paced, growth-focused spirit that invites employees to pave their own path and make a personal impact in driving the company forward.

If you think you're up to the challenge, come and help us to grow, innovate and develop! #maketheteam

Programerski vprašalnik