Machine Learning Engineer

Woolworths Ltd.; Sydney; On-site; AUD 150,000 - 190,000; Full time

Benefits offered by this job

Team discounts across Woolworths Group

Rewards program and wellbeing support

Flexible work options and Sonder app

Generous leave policies

Job summary

Woolworths Group in Sydney is seeking a Machine Learning Engineer to join the Wiq Loyalty Partnerships team. You will build scalable ML pipelines, modernise data foundations, and deliver production-ready data products that power retail analytics and partner insights.

This fixed-term 12-month contract offers cloud-native tooling, cross-functional collaboration, and exposure to a dynamic data-driven retail environment within Wiq.

Qualifications

• 3+ years of commercial software/ML engineering experience.
• Proven ability to build production-grade ML pipelines.
• Experience with cloud-based data platforms (GCP).
• Strong Python, SQL and Linux skills.
• Experience designing and deploying RESTful or gRPC APIs.
• Familiarity with CI/CD practices and DevOps tooling.

Responsibilities

• Architect scalable data pipelines and ML workflows on GCP to support reporting and analytics.
• Modernise data foundations by migrating pipelines to cloud infrastructure.
• Develop production-ready data products, APIs, and datasets for large-scale analytics.
• Prototype and deploy AI/ML tools to accelerate insights for partners and stakeholders.
• Collaborate with data scientists, ML engineers, and business teams in an Agile setting.
• Champion engineering excellence with automated tests and reliable deployments.
• Engage with stakeholders to translate business problems into implementable solutions.
• Ensure post-deployment stability and knowledge transfer across the team.

Skills

Python

SQL

Linux

GCP

APIs

CI/CD

Tools

BigQuery

Dataflow

Cloud Composer

Kubernetes

Docker

REST/gRPC

Job description

Sydney office locations with WFH flexibility

Work on a range of high impact data projects

Machine Learning Engineer - Wiq

Sydney office locations with WFH flexibility

Work on a range of high impact data projects

Fixed Term 12 month Contract

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.

What you will do:

Joining the cross functional Partners Reporting Framework (PRF) project and the wiq Loyalty Partnerships team, you will transform the end to end reporting and analytics landscape across 16+ external Everyday Rewards partnerships. In this role, you will build robust data foundations and lead development of AI based analytics products for various stakeholders, directly elevating partner service levels and accelerating time to insight for our partners, strategic decision makers, business intelligence developers and insights analysts.

As a Machine Learning Engineer within the Wiq Loyalty Partnerships team, you will:

• Architect Scalable Data Pipelines: Design, build, and optimize high throughput data and ML pipelines using GCP (BigQuery, Cloud Composer) to power reporting, advanced analytics, and AI initiatives.
• Modernise Legacy Data Foundations: Refactor, migrate, and scale legacy pipelines onto modern cloud infrastructure while enforcing engineering standards and performance best practices.
• Deliver Production-Ready Data Products: Develop custom data models, robust API endpoints, and granular foundational datasets tailored for large scale analytics and machine learning applications.
• Drive Retail Innovation: Harness massive datasets and adopt a rapid test-and-learn approach to prototype and deploy cutting edge retail tools.
• Cross-Functional Collaboration: Partner closely with data scientists, ML engineers, and business stakeholders in an agile environment to refine requirements and align on solution designs.
• Champion Engineering Excellence: Pioneer new technologies, methodologies, and automated testing frameworks to improve system reliability, time to market, and application performance.
• Stakeholder Alignment & Delivery: Listen and collaborate with stakeholders to understand business challenges and problem solve by translating into practical solutions, present architecture designs and showcase working solutions.
• Ensure Operational Stability: Lead post-deployment hypercare, maintain high system availability, and execute seamless handovers and knowledge transfers to support team.

What you will bring:

A natural problem solving mindset with the ability to take sometimes nebulous and abstract challenges, break it down into components and develop solution hypotheses. As our ML Engineer you will be experienced in building ML pipelines such as VertexAI pipelines or ML techniques and packages.

• 3+ Years Core Software Engineering: Proven commercial background building production-grade software using Python, SQL, and Linux.
• High-Throughput System Design: 3+ years architecting reliable, scalable distributed systems for both batch and real-time streaming architectures.
• API Development & Integration: Practical expertise designing, building, and deploying robust RESTful and gRPC API endpoints.
• Real-Time NoSQL Expertise: Hands-on experience modeling and managing data in high-performing NoSQL engines (e.g., Firestore, Bigtable, DynamoDB).
• Modern CI/CD & DevOps: Proficient in automating end-to-end testing and deployment pipelines using GitHub Actions, Cloud Build, or Jenkins.
• Strategic & Operational Agility: Skilled at balancing high-level strategic planning with pragmatic, day-to-day operational execution and sharp commercial acumen.
• Stakeholder & Priority Management: Adept at managing competing business demands, prioritizing complex workflows, and delivering clear communication across diverse audiences.
• Empathetic & Collaborative Leadership: Dedicated to fostering cross-functional partnerships, mentoring team members, and maintaining strong professional standards.

Highly Desirable

• Experience building or integrating real-time data pipelines using streaming technologies such as Google Pub/Sub, Kafka or Dataflow
• Experience with Google Cloud preferred
• Experience in ML Engineering / ML Ops / DevOps
• Hands on experience in Kubernetes or Docker

What you’ll experience:

• A global business with endless career possibilities around every corner and across every discipline - with valuable exposure to a vast and exciting business network.
• Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work.
• A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app. A progressive and competitive leave policy that gives you more space for what matters to you.

Everyone belongs at Woolworths Group

As one of the largest employers in Australia and New Zealand, we aim to create a truly inclusive workplace where everyone feels that they belong, can be their best selves, and reach their full potential.

Diversity, equity, inclusion, and belonging are key to realising our purpose of better together for a better tomorrow. We recognise the value our team’s diversity brings to our business, customers, and communities and that teams with diverse experiences and backgrounds enrich our group and are better able to innovate and solve problems.

Woolworths Group is an inclusive, team-first company and we value all skills and experiences. If you meet some, but not all of the requirements, we encourage you to submit your application.