Machine Learning Engineer

Machine Learning Engineer

Permanent Hybrid (Sydney-based) Up to $190K + Super

We’re on the lookout for a talented Machine Learning Engineer who thrives in complex environments and knows how to scale models that make a real impact. This is a permanent role with a hybrid working setup, offering the chance to work on cutting-edge projects with a team that values innovation and technical excellence.

What You’ll Be Doing

• Design, build, and deploy large-scale machine learning models across diverse and high-volume data environments
• Optimise model performance and scalability for production-grade systems
• Collaborate with data scientists, engineers, and product teams to translate business needs into ML solutions
• Implement best practices in model versioning, testing, and monitoring
• Contribute to the architecture and evolution of our ML infrastructure

What You Bring

• Strong experience building and scaling machine learning models in complex, enterprise-level environments
• Solid coding skills in Python, with deep knowledge of ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Familiarity with MLOps, containerisation (Docker), and cloud platforms (Azure preferred)
• Experience with feature engineering, model tuning, and deployment pipelines
• A collaborative mindset and the ability to communicate technical concepts clearly

Why You’ll Love It Here

• Competitive salary up to $190K + Super
• Hybrid working model with flexibility and autonomy
• Work on high-impact projects with real-world applications
• Supportive, forward-thinking team culture