ML/DataOps Manager

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

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.

Experience in sports betting, trading platforms, or regulated industries.

Familiarity with modern ML tooling (e.g. feature stores, model registries, experiment tracking platforms).

Knowledge of data architecture patterns such as Data Mesh or medallion architecture.

Experience with observability and monitoring tools for data and ML systems.

Experience building internal platforms or developer tooling.

Passion for mentoring and building high-performing teams.

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.