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Hawthorn East Melbourne, VIC, AU, 3123
Actively hiring, first seen by us 7 days agoJob ID: 166719 Employment Type: Full time LI-#MM1Read the full posting
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.
Manage end-to-end delivery of AI/ML platform enhancements, ensuring scalability, availability, and performance.
Manage end-to-end delivery of AI/ML platform enhancements
Implement MLOps best practices, model versioning and platform security
Oversee platform reliability, incident management and capacity planning
Lead, mentor and grow a team of platform engineers
Integrate new tools and automation to streamline AI/ML workflows
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.
Manage end-to-end delivery of AI/ML platform enhancements, ensuring scalability, availability, and performance.
Implement and enforce best practices for MLOps, model versioning, lifecycle management, and platform security.
Oversee platform reliability, incident management, and capacity planning
Lead, mentor, and grow a team of platform engineers
Drive continuous improvement by integrating new tools, frameworks, and automation to streamline AI/ML workflows.
Expertise in AI/ML platform architecture, MLOps practices, cloud-native technologies, and infrastructure automation.
Bachelor’s or Master’s Degree in Computer Science, Engineering, Data Science, or related field.
Strong leadership, communication, and stakeholder management skills.
Ability to translate complex technical challenges into actionable solutions.
Education - Bachelor’s or Master’s Degree in Computer Science, Engineering, Data Science, or related field. - Relevant certifications in cloud platforms, AI/ML engineering, or DevOps are a plus.
We’re continuing to build a gender equitable team, and a culture that is just as diverse, inclusive and welcoming as the communities we serve.
In the employer’s words · Read in context
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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- 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.
- 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.
Complete your application on careers.colesgroup.com.au. The employer’s form will show what is required.
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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.
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:
Qualifications
Education
We’re continuing to build a gender equitable team, and a culture that is just as diverse, inclusive and welcoming as the communities we serve. We are committed to creating a workplace that is safe and respectful for our team. We encourage applications from people of all ages, cultures (including Aboriginal and Torres Strait Islander peoples), abilities, sexual orientation and gender identities.
We’re happy to adjust our recruitment process to support candidates with disability. For further information and additional contact details visit the ‘Our Recruitment Process’ section of our careers site or email inclusionrecruitment@coles.com.au
Job ID: 166719
Employment Type: Full time
LI-#MM1
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Hawthorn East Melbourne, VIC, AU, 3123
What’s in it for you? - Flexible working options: We know that work is only one part of your life, so we actively encourage a positive work-life balance and provide hybrid working options to help you achieve it. - Office perks: Take advantage of our gym facility and fitness classes, free parking, BBQ area, mini-Coles supermarket, fooderie hub where you can sample new products before they hit the shelves, school holiday program and so much more when you come in.
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