Junior Machine Learning Engineer

About Us

At FDJ UNITED, we don't just follow the game, we reinvent it.

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.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

The Role

You will join our ML Engineering organisation, working alongside experienced engineers with backgrounds in ML operations and data intensive ML product development. You will interface closely with our Data Science research teams, enabling them to move their models from research to production.

You will be responsible for releasing production grade ETL processes to populate our Feature Store, and deploying models using batch, stream, and request-response paradigms. You will apply best practice for software development, ensuring we have a clean, well-tested and scalable code base. You will collaboratively monitor and support our products through their lifecycle, working alongside Data Scientists.

Your Experience / What You will do

• Demonstrable experience of building data / feature pipelines (ETL, ELT) using Airflow DAGs/ step functions
• Strong programming skills such as Python / Java.
• Experience / solid knowledge of distributed programming using Spark / Kafka
• Demonstrable experience with RDS (PostgreSQL, MySQL)
• Cloud experience (ideally AWS-certification would be an advantage) or containerised infrastructure (Kubernetes / Docker)
• Keen interest in development, deployment, and support of Machine Learning models.
• Awareness of software development best practice.
• Excellent interpersonal skills.
• Ability to work as part of a cross-functional team in an agile environment.
• A problem-solving growth mindset, with the ability to pick up new concepts quickly.
• Passionate about your personal development and excited by opportunities to learn from peers.
• Ensure that you adhere to the Governance, Risk & Compliance (GRC) obligations for your role.
• Identify and raise any non-compliance incidents promptly to your line manager.
• Challenge processes, policies and projects that will negatively impact compliance within the Group.
• Complete all mandatory compliance training assigned to you.
• Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.
• Even if you don't have all relevant experience, but are good in programming and logic, feel free to apply.

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.