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.

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 up-to-date 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.
- Lead, mentor, and grow a team of platform engineers, fostering a culture of innovation, collaboration, and high performance.
- Set explicit objectives and provide coaching to ensure delivery excellence and professional growth.
- Collaborate cross-functionally with AI/ML product teams, data engineering, security, and architecture stakeholders to align platform initiatives with broader enterprise goals.

About you and your skills

- Proven years’ experience in AI/ML platform engineering, software engineering, or data infrastructure roles, with a minimum of 3 years in team leadership or management positions.
- Proven ability to lead and deliver complex AI/ML platform solutions in large-scale enterprise environments.
- Strong technical expertise in cloud platforms (Azure, Snowflake, Databricks), MLOps tooling, container orchestration (Kubernetes/Docker), CI/CD pipelines, and automation.
- Deep understanding of the AI/ML model lifecycle, feature stores, model registries, and model deployment best practices.
- Experience managing platform reliability, performance tuning, and incident response.
- Familiarity with data governance, security, and compliance in AI/ML contexts.
- Demonstrated success in building and scaling high-performing engineering teams.
- Hands‑on coding experience in Python, Java, or similar languages.
- Experience working in Agile delivery environments.

Qualifications

- Expertise in AI/ML platform architecture, MLOps practices, cloud-native technologies, and infrastructure automatio

📌 Platform Manager (Melbourne)
🏢 The Coles Group
📍 Melbourne