Machine Learning Engineer

Sportsbet

City of Melbourne

On-site

AUD 100,000 - 140,000

Full time

14 days+

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Benefits offered by this job

25 days annual leave
$1050 work-from-home allowance
Access to career development programs
Onsite concierge services
Generous parental leave
Hack Days for creative projects

Job summary

A leading online betting company based in Melbourne is seeking a Machine Learning Engineer to support its Data Science team. This role focuses on delivering innovative data-driven solutions that enhance competitive advantage within the Machine Learning domain. Candidates should have experience in software development and machine learning, with familiarity in Python or Rust. Enjoy perks like generous leave, a work-from-home allowance, and robust career development programs.

Qualifications

  • Ability to build price assurance framework tools.
  • Experience with modelling and performance tuning.
  • Knowledge of concurrency and memory safety.

Responsibilities

  • 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.

Skills

Proficiency in developing software models in Rust / Python / C family
Strong expertise in designing low-latency applications
Strong experience leading the SDLC for Machine Learning
Proven experience in designing, training, and validating models
Well-versed in model experimentation techniques

Tools

Docker
Kubernetes

Job description

Join to apply for the Machine Learning Engineer role at Sportsbet

Get AI-powered advice on this job and more exclusive features.

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.

We’re proud to be the leaders in responsible gambling in our industry, not just locally, but globally.

About the Role

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.
About You

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).
Why You’ll Love Working Here

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.
What’s the Green Tick Feeling?

Well, it’s different for everyone, yet unites us all. It’s the feeling you get when you succeed, no matter what success looks like to you. It could be developing your career, it could be working on an industry leading project, or it could be making it to school pick up in time. It’s all the little and big things that make you feel like you’re thriving when working at Sportsbet.

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! Check out our Life@Sportsbet Instagram, LinkedIn, and careers website for more about our inclusive culture.

Ready for your Green Tick Feeling? Apply now.

Melbourne, Victoria, Australia

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