About the role As a Senior Machine Learning Engineer, we'll look to you to lead development and deployment of cutting-edge AI systems for our diverse clients.
You'll design, build, and deploy scalable, production-grade ML software and infrastructure that meets rigorous operational and ethical standards.
This is an ambitious, cross-functional role requiring a blend of technical expertise, engineering leadership, and confident client-facing skills.
What you'll be doing: Leading technical scoping and architectural decisions for high-impact ML systems Designing and building production-grade ML software, tools, and scalable infrastructure Defining and implementing best practices and standards for deploying machine learning at scale across the business Collaborating with engineers, data scientists, product managers,



and commercial teams to solve critical client challenges and leverage prospects Acting as a trusted technical advisor to customers and partners, translating complex concepts into actionable strategies Mentoring and developing junior engineers, actively shaping our team's engineering culture and technical depth Who we're looking for: You understand the full ML lifecycle and have significant experience operationalising models built with frameworks like TensorFlow or PyTorch You bring deep expertise in software engineering and solid Python skills, focusing on building robust, reusable systems You have demonstrable hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), including architecture, security, and infrastructure You've extensive experience working with container and orchestration tools such at Docker

📌 Senior Machine Learning Engineer Sydney (Australia)
🏢 Faculty
📍 Australia