Platform Manager

We’ve been proudly serving Australian communities since 1914 and have grown to become a top 30-listed company on the ASX with a portfolio of iconic homegrown brands. At the heart of our continued success is over 115,000 team members working across the country, all contributing to bringing our customers smiles. You’ll not only get to see your work make a difference, you’ll be part of a team working together to help Australians eat and live better every day.

About the team

As the way Australians shop continues to evolve, our Data and AI Team keep Coles at the forefront of modern retail. We combine data, artificial intelligence, and applied engineering to reimagine how our stores, supply chain, and digital channels operate — creating smarter, more connected, and seamless experiences for our customers and team members.

Operating as a centralised development and enablement function within Coles Technology, the team unites product, engineering, and platform capabilities to deliver the intelligence layer of the enterprise. We serve every part of Coles — from computer vision applications that enhance in-store experiences and reduce loss, to forecasting, optimisation, and decision-support solutions that drive efficiency, accuracy, and agility across our supply chain, retail operations, and corporate functions.

The scale and impact of this work are significant. Coles serves millions of customers each week across more than a thousand stores nationwide, and our AI and data capabilities provide the intelligence that underpins how we plan, move, sell, and serve. By combining deep data capability with applied AI and modern engineering, we’re enabling Coles to become a truly AI-enabled enterprise, transforming how we operate and how Australia shops every day.

About the role

We are currently recruiting for a Platform Manager ML (Machine Learning) who will lead the design, development, and delivery of AI platform capabilities focused on Generative AI, LLMs, and agentic systems, including model access layers, orchestration frameworks, prompt management, and tool integrations.

Key responsibilities of the role will include:

• Manage end-to-end delivery of AI/ML platform enhancements, ensuring scalability, availability, and performance.
• Collaborate closely with data scientists, ML engineers, software developers, and platform teams to understand requirements and translate them into platform capabilities.
• Implement and enforce best practices for MLOps, model versioning, lifecycle management, and platform security.
• Drive continuous improvement by integrating new tools, frameworks, and automation to streamline AI/ML workflows.
• Oversee platform reliability, incident management, and capacity planning to maintain high availability and operational excellence.