About Us Sportsbet is a leading Australian e-commerce business in the online wagering sector, bringing excitement to over 2 million Aussies. We do this by living our values to create an innovative entertainment brand, trailblazing products and best-in-class platforms that deliver great experiences to our customers.
We have over 1,300 team members at Sportsbet but as part of the Flutter Group, we're a true global player.
Committed To Responsible Gambling 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 Machine Learning Ops Engineer is a key role within Data Platforms, responsible for delivering innovative and sustainable data driven solutions to contributing to Sportsbet a competitive advantage in the Machine Learning domain.
This is an exciting opportunity support our industry leading Data Science team, delivering cutting edge customer facing ML models and optimising their performance, along with delivering key components back into our international Flutter brands for wider use.
Key responsibilities include: Project Delivery:
Implement and leverage Monitoring tools to track model accuracy, drift and data quality Champion Machine Learning Best practices across the business Set up necessary feature pipelines, CI/CD pipelines, adding appropriate tests for your services Leading estimation of delivery effort and timeline for taking Machine Learning solutions to production Designing repeatable standardised patterns for Machine Learning solution delivery Identify gaps and implement best practices across operational processes, DevOps, deployments, Feature engineering, security and vulnerabilities etc. Develop and socialise patterns and standards for use across the organisation Innovate and challenge the status quo by introducing new ideas and concepts to the team Platform Operations:
Optimise models / solutions to ensure we support our service levels and minimise spend. Support what we build - taking ownership of production issues, working with stakeholders through to resolution. Identifying and managing ML operational risks. Performance tuning and optimisation across our platforms to ensure optimal usage of resources. About You Solid development experience in a cloud first, data centric organization Solid software development experience preferably Python, Java Experience in building and maintaining solutions running in production environments at scale Experience with Feature Engineering and ML concepts and delivery The Perks We work hard and play hard, so along with a competitive salary and generous performance-based bonus, here's some of our other perks:
25 days annual leave Genuine flexible and remote working policy with a $850 work from home office allowance Tailored career development programs Discounted gym memberships, free breakfast, loads of event and conference tickets. Access to our Employee Assistance Program and a Circle In membership Industry leading Parental Leave support program with 26 weeks paid leave for Primary Carers and no wait time. We also have a progressive return to work benefit for your first 6 months back: come back for 3 days, get paid for 4; come back for 4 days, get paid for 5. We encourage you to apply as soon as possible as we review candidates within 2 weeks of advertising.
Our Focus on Diversity, Equity & Inclusion 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 or contact us if you'd like to discuss this in more detail.
If you think you'd be a great fit but don't necessarily meet everything in the job description, please still get in touch.
Ready to bring excitement to life? Apply now
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