ML/DataOps Manager

Join Kindred Group as an ML/DataOps Manager to lead the evolution of our ML platform and data operations, enabling faster and more reliable delivery of data and machine learning products. 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.

• •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.

• •This role is critical to scaling how we build and operate data and machine learning products across sportsbook. By establishing strong DataOps and MLOps foundations, you’ll enable teams to deliver high-quality, reliable, and production-ready solutions faster. This directly impacts our ability to personalise customer experiences, manage risk effectively, and make better data-driven decisions across the business.
• •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.

• •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.