Junior ML DataOps Engineer

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand.

Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day. We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

FDJ United’s ambition is to be the most insight-driven gambling company, and in recent years we’ve invested heavily in our data capabilities. Focusing on our Sports book product, Data Ops plays a critical role in streamlining and optimising data management processes, ensuring faster, more reliable and data-driven decision-making. In a dynamic and highly regulated industry, leveraging real-time insights, maintaining data integrity and enhancing operational efficiency are essential to delivering a seamless customer experience.

As a Junior ML Data Ops Engineer, you will help us build, operate and improve the tools, infrastructure and workflows that enable our Data Scientists, Data Engineers and Machine Learning Engineers to deliver high-quality data and ML products  will contribute to automating processes, improving data quality, developing testing and monitoring capabilities, and making our development and deployment workflows more reliable and efficient.

You will also help us explore and adopt new technologies, including Generative AI, to improve how we build, test and operate our data products. This includes contributing to our Data Lakehouse capabilities and developing tooling that helps our teams work more efficiently, experiment safely and move solutions into production with confidence.

Working alongside experienced engineers, you will have the opportunity to develop your skills across software engineering, data engineering, cloud infrastructure and AI operations. We are looking for someone with a strong technical foundation, a genuine interest in AI and automation, and the curiosity and initiative to learn, experiment and grow as part of a collaborative engineering team.

We think that to be successful in this role, you will be able to demonstrate many of the following attributes:

• Good programming skills in Python or Java, with a willingness to develop further.
• An understanding of software engineering fundamentals, including version control, code reviews, testing and maintainable code.
• An interest in Data Ops, Dev Ops, MLOps or ML Engineering, and how these disciplines help teams deliver reliable production systems.
• Familiarity with CI/CD pipelines and automated software deployment, or a willingness to learn.
• An understanding of data pipelines, data processing and the importance of data quality and reliability.
• An interest in AI and machine learning, including Generative AI and the operational challenges of taking AI solutions into production.
• Familiarity with cloud computing, ideally AWS, or experience with cloud-based projects.
• A proactive approach to problem-solving, with the ability to investigate issues, learn from feedback and develop practical solutions.
• Good communication and interpersonal skills, with the ability to collaborate with…