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About the Role
FDJ United aims to be the most insight-driven gambling company, heavily investing in data and machine learning. This role focuses on the Sportsbook product, leading the evolution of the ML platform and data operations to enable faster, more reliable, and scalable delivery of data and machine learning products. You will build and operate foundations for end-to-end machine learning workflows, lead a DataOps and MLOps team, and collaborate with various data-focused teams to ensure seamless delivery. Your work will shape tooling, standards, and processes for rapid iteration while maintaining reliability, governance, and compliance.
Responsibilities
- Lead and grow a team of DataOps and MLOps engineers, providing technical direction, coaching, and career development.
- Define and drive the strategy for DataOps and MLOps capabilities across the sportsbook data platform.
- Build and evolve the platform and tooling that supports end-to-end machine learning lifecycle management (development, deployment, monitoring, and retraining).
- Establish best practices for data and machine learning workflows, including automated testing, deployment, and rollback strategies.
- Work with DevOps to evolve infrastructure as code practices (e.g. Terraform, CloudFormation) to ensure scalable and reproducible environments.
- Collaborate with Data Engineers, Quants, and ML Engineers to improve developer experience, platform usability, and delivery velocity.
- Implement robust monitoring, observability, and alerting across data pipelines and ML models (including model performance and drift).
- Drive standardisation of tooling and workflows across teams, balancing flexibility with consistency.
- Ensure data and model governance practices are embedded, including reproducibility, lineage, discoverability, and compliance.
- Partner with product and business stakeholders to align platform capabilities with strategic priorities.
- Manage platform reliability, performance, and cost efficiency within AWS.
Requirements
- 5+ years of relevant commercial experience, including experience in DataOps, MLOps, or platform engineering roles.
- Proven experience leading or mentoring engineers in a technical environment.
- Strong understanding of data engineering and machine learning workflows and how they operate in production.
- Experience implementing CI/CD pipelines for data and/or machine learning systems.
- Experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
- Strong experience with cloud platforms, ideally AWS.
- Experience with distributed data processing technologies (e.g. Spark) and streaming platforms (e.g. Kafka).
- Ability to operate at both a strategic and hands-on level when required.
- Strong communication and stakeholder management skills, with the ability to align cross-functional teams.
- Proactive mindset with the ability to navigate ambiguity and drive continuous improvement.
Skills
- DataOps
- MLOps
- Platform Engineering
- CI/CD
- Infrastructure as Code
- Terraform
- CloudFormation
- AWS
- Spark
- Kafka
- Communication
- Stakeholder Management
Location
- Remote
Work Type
- Full-time
Experience Level
- 5+ years of relevant commercial experience
About the Company
- 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.
Equal Opportunity
- 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.