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
