About the job
About Us
At Entain Australia & New Zealand, we are boldly reshaping the sports, racing, and entertainment sectors, redefining how our customers engage with their favorite brands.
As a part of a global leader operating across over 40 nations and employing nearly 30,000 individuals, we proudly house renowned brands in Australia and New Zealand, including Ladbrokes, Neds, TAB, and Betcha.
Our mission at Entain ANZ is to innovate the future of gaming and sporting entertainment through creativity, technology, and storytelling, crafting experiences that resonate with millions of fans.
Your Role
Join our Data Science and Engineering teams, committed to developing intelligent, data-driven products that are revolutionizing the gaming and wagering landscape in Australia. Your contributions will help deliver personalized, reliable, and responsible experiences to our customers.
With millions of users engaging with our platforms, the machine learning solutions you create will be deployed at scale, where performance, reliability, and real-world impact are crucial.
As a product-driven organization, we emphasize leveraging data and AI to enhance customer experiences and foster improved business outcomes. Machine Learning Engineering is integral to this effort, facilitating teams in deploying models into production, refining our ML systems, and ensuring our solutions are scalable, reliable, and well-governed across diverse use cases.
A Day in Your Life
- Assist in developing and refining ML pipelines, from data preparation to deployment.
- Support the deployment and monitoring of models within production environments.
- Collaborate with Data Scientists and Engineers to translate innovative ideas into scalable solutions.
- Help automate workflows throughout the ML lifecycle (training, evaluation, and retraining).
- Diagnose and troubleshoot model or pipeline issues, identifying root causes.
- Contribute to the development of internal tools, APIs, and reusable ML components.
- Engage in code reviews and team ceremonies within an Agile framework.
- Learn and implement best practices in MLOps, cloud technologies, and production engineering.
Your Skills
- Foundational experience in machine learning, software engineering, or data engineering.
- Working knowledge of Python and SQL, with a passion for writing clean and maintainable code.
- Understanding of the ML lifecycle, from experimentation to production.
- Familiarity with cloud platforms or a strong eagerness to learn (AWS, GCP, Azure, Databricks).
- Experience with tools such as Git, Docker, or CI/CD pipelines.
- A curious mindset combined with strong problem-solving skills.
- Comfortable working collaboratively within cross-functional teams.
- Excellent communication skills and a desire to learn from others.
Life at Entain
At Entain, we cultivate an environment that fosters innovation and personal growth. Join us in our mission to create extraordinary experiences in the world of gaming and entertainment!

