Machine Learning Engineer

Who We Are

Entain Australia & New Zealand is fearlessly transforming the racing sports and entertainment landscape - reimagining how customers experience their favourite brands.

As part of a global powerhouse operating in over 40 countries with nearly 30000 people were home to leading ANZ names like Ladbrokes Neds TAB and Betcha.

Across Entain ANZ were shaping the future of sport and gaming entertainment through creative innovation storytelling and technology - creating experiences that connect with millions of fans.

Your Impact
This is where AI meets real-world scale.

As a Machine Learning Engineer at Entain youll build and deploy intelligent systems that power personalisation optimise operations and enhance how millions of customers engage with our products across ANZ.

Youll work across the full ML lifecycle - from experimentation to production - turning complex data into high-impact scalable solutions. Your work wont sit in notebooks; it will directly influence customer experience and business performance.
If youre driven by solving meaningful problems and seeing your models make a measurable difference this is your game.

A Day in the Life
Expect variety ownership and real impact.

• Monitor and improve live models analysing performance drift and outcomes
• Partner with product and engineering teams to identify high-value ML opportunities
• Build and deploy models feature pipelines and real-time inference services
• Strengthen MLOps practices improving deployment speed reliability and observability
• Collaborate with data scientists and engineers to take ideas from concept to production
• Contribute to architecture decisions and continuously raise the bar on ML engineering standards

Your Strengths

• Proven experience deploying machine learning models into production
• Strong Python skills and hands-on experience with frameworks like PyTorch TensorFlow or Scikit-learn
• Solid understanding of data pipelines and scalable ML systems
• Experience with AWS and modern cloud-based ML tooling
• Strong grasp of MLOps CI/CD monitoring and model lifecycle management
• Comfortable working with large datasets and production systems
• A balance of experimentation and engineering rigour
• Clear communicator who can influence both technical and non-technical stakeholders
• Curious proactive and motivated to build systems that deliver real impact

Experience in personalisation recommendation systems or generative AI is a strong plus.

Life at Entain

At Entain its more than a job - its a place to grow connect and make an impact. We value individuality celebrate collaboration and create space for bold ideas that move people. Here youll help shape the voice of some of Australia and New Zealands most recognised brands - while developing your own craft in a supportive ambitious team.

Perks Youll Love

• Hybrid & Flexible:Balance your life and work.
• Recognition & Rewards:Celebrate wins and enjoy retailer discounts.
• Wellbeing Perks:Support for your health and happiness.

Entain theres nothing like it.

For more information please reach out to us atorhit apply now.

Required Experience:

IC