Machine Learning Engineer

At Sportsbet, we’re all about bringing excitement to life for our 2.4 million customers. As part of the global Flutter Group, we’re a tight-knit team of 1,300 in Melbourne, Sydney, and Darwin, passionate about challenging the status quo. We’re proud to be recognized as one of LinkedIn’s Top 25 Companies and one of the Top 10 Workplaces for Women.

We’re an inclusive employer who celebrates diversity and is committed to helping you thrive. Whether you’re looking for flexibility, career growth, or a supportive environment, we’re here to help you succeed. Our commitment to responsible gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools.

The Senior ML Engineer is a key role within Data Platforms, responsible for delivering innovative and sustainable data driven solutions contributing to Sportsbet having a competitive advantage in the Machine Learning domain within the quant space. This is an exciting opportunity to support our industry leading Data Science team, delivering cutting edge customer facing models into production and optimising their performance, along with contributing key capabilities back into our international Flutter brands for wider use.

Your day could see you doing:

• Build feature pipelines, model inference services, and monitoring tools.
• Design and implement CI/CD pipelines with automated testing.
• Standardise ML delivery patterns and best practices across teams.
• Lead delivery estimation and ensure accountability for outcomes.
• Identify and close gaps across DevOps, security, and operations.
• Optimise ML systems for performance, reliability, and cost.
• Own what you build — monitor, troubleshoot, and resolve production issues.
• Drive automation and continuous improvement across ML workflows.
• Share expertise and promote innovation.

You have the ability to ask the right questions with an eye for detail with an interest in building price assurance framework tools. We would like you to have:

• Proficiency in developing software models in Rust / Python / C family, leveraging sub-model architectures to build modularised applications in a solver / simulation-based application.
• Strong expertise in designing low-latency applications backed with demonstrable knowledge of concurrency, parallelisation, performance tuning, while enforcing memory safety.
• Strong experience leading the SDLC for Machine Learning and Data Science models, building ML pipelines, feature stores and containerisation utilising Docker / Kubernetes.
• Proven experience in designing, training, and validating machine learning models for real-time prediction tasks (e.g., regression, classification, time-series, anomaly detection).
• Well-versed in model experimentation and evaluation techniques (e.g., A/B testing, back-testing, cross-validation, error analysis).
• Familiarity with data models such as Data Vault, Kimball, and Medallion architecture (ideal but not essential).

Along with a competitive salary and generous performance-based bonus, here’s some of our other benefits:

• 25 days annual leave (plus flexible working options)
• $1050 work-from-home allowance
• Access to outstanding career development programs, including expert-led internal training and external learning opportunities
• Onsite concierge services, free meals, social events and access to the Sportsbet Salon
• Generous parental leave and return-to-work benefits
• Hack Days: Participate in our hack days, where creativity and collaboration lead to exciting new ideas and projects.

We’re an inclusive employer who welcomes you for who you are, as you are - so, if you require adjustments to the recruitment process, please let us know in your application. We also know flex means different things to different people, so let us know how we can support you to be your best.

We review applications quickly, so apply soon!