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Machine Learning Engineer

Australia, Sydney · Job Posted July 04, 2026
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Job Description

We are Woolworths Group. Woolworths Group is an Australian food and everyday needs retailer employing 1900,000 team members across Asia Pacific, serving over 20 million customers across our brands every week. With more than 1,400 stores across Woolworths Supermarkets, Countdown Supermarkets (New Zealand) and BIG W brands, B2B business serving wholesale and export markets, and a range of fast-growing eCommerce businesses, Woolworths Group is Australia and New Zealand’s largest retailer. We strive to create better experiences together for a better tomorrow for our customers and team, bringing the best of Woolworths Group and Quantium together to make data driven decisions. By partnering with Quantium, a world-class data science and advanced analytics business we’re excited about the future as we unlock the power of data to reimagine retail. Through this partnership, we’ve created a new business called Wiq to harness the best of Woolworths Group and Quantium to reimagine retail by solving the most complex problems using data and analytics. As a team, we leverage Agile ways of working to help our team develop their skills while also making sure our team is focusing on solving the most complex problems for both our customers and team.

Job Responsibility

  • Design, develop, implement, scale and maintain Advanced Analytics Solutions
  • Design, develop, implement, scale and maintain Advanced Analytics solutions using predominantly Google Cloud (GCP) products
  • Develop Cloud based ML pipelines to solve a broad range of business problems
  • Grow the Engineering Guild capability through pioneering new tech and approaches to improve time to market, reliability and performance of Data Science applications
  • Work collaboratively with Data Scientists, ML Engineers & Data Engineers to develop cutting edge retail tools in an agile manner
  • Create, present and seek inputs and feedback on architecture, solution designs and foster alignment and support for solutions
  • Apply relevant testing frameworks to ensure the robustness of solutions
  • Communicate analyses, insights, solution designs and showcase working solutions

Requirements

  • Bachelor's degree or above in Computer Science, Engineering, or a related field
  • 3+ years of commercial software development experience
  • 2+ years of hands-on experience in Python, SQL, and Linux
  • Hands-on experience with manipulating and processing large, complex datasets (preferred)
  • Hands-on experience with social media statistics/metrics APIs/tools (preferred)
  • Hands-on experience with containerized solutions such as Docker (preferred)
  • Hands-on experience with GenAI(LLM) solutions (preferred)
  • Experience building Machine Learning / Data pipelines (preferred)
  • Experience building RESTful APIs (preferred)
  • Experience in ML Engineering, MLOps, or DevOps (preferred)
  • Experience with ML algorithms, techniques, and packages (preferred)
  • General experience in dashboarding and reporting (e.g., Tableau) (preferred)
  • Security: Experience with Orca, Snyk, and GitHub Security (preferred)
  • Familiarity with Google Cloud Platform (GCP) (preferred)

Nice to have

  • Hands-on experience with manipulating and processing large, complex datasets
  • Hands-on experience with social media statistics/metrics APIs/tools
  • Hands-on experience with containerized solutions such as Docker
  • Hands-on experience with GenAI(LLM) solutions
  • Experience building Machine Learning / Data pipelines
  • Experience building RESTful APIs
  • Experience in ML Engineering, MLOps, or DevOps
  • Experience with ML algorithms, techniques, and packages
  • General experience in dashboarding and reporting (e.g., Tableau)
  • Security: Experience with Orca, Snyk, and GitHub Security
  • Familiarity with Google Cloud Platform (GCP)

What we offer

  • Team discounts across our range of Woolworths Group brands
  • 12 weeks paid parental leave for primary caregivers plus paid superannuation for up to 12 months while the Team Member is on parental leave - eligible from the first day of employment
  • 24/7 access to the Sonder app

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