Senior Machine Learning Engineer

Here’s where you’ll work on greenfield, customer-facing machine learning products with visible impact on a high scale app and website. You’ll have the freedom to influence system design, choose appropriate technologies and deliver end-to-end solutions with less regulatory constraint than many industries.

Engineers operate in highly autonomous agile squads, giving you plenty of scope to shape how things are done while building your technical and leadership capabilities.

There are team member discounts across the portfolio of brands and access to wellbeing programs, including 24 / 7 support via the Sonder app. You’ll also get progressive and competitive leave policies and opportunities for career development within a large, diverse organisation.

And of course, you’ll be part of a supportive, collaborative working environment with flexible hybrid working arrangements.

What you’ll do

Design, develop, deploy and maintain production machine learning pipelines and data-driven services. These will directly support customer-facing digital products within a significant retail brand.

Build and maintain Python-based APIs that integrate ML outputs into web and app platforms, working closely with Data Scientists to productionise models and analytical solutions.

Contribute to system, solution and API design in the absence of dedicated solution architects, and collaborate with software engineers, product owners and business analysts in an agile squad.

Participate in sprint planning, ticket refinement, estimation and delivery across discovery, build, test and release phases, applying appropriate testing, deployment and monitoring practices to ensure reliability and performance of solutions.

What you’ll need

• Bachelor’s degree (or higher) in Computer Science, Engineering or a related field
• 5+ years of commercial ML / software engineering experience
• Strong hands‑on experience with Python in production environments
• Experience working with data, SQL and machine‑learning–driven solutions
• Experience designing and building reliable, high‑throughput batch or streaming systems
• Experience developing and integrating RESTful or gRPC APIs
• Experience deploying and operating services using CI / CD pipelines
• Experience working in cloud

About the company

One of the largest employers in Australia and New Zealand, operating a diverse portfolio of retail brands. Through its partnership with a data specialist firm, the employer brings together deep retail expertise and advanced data science and analytics capabilities to deliver data‑driven solutions that support customer‑facing digital products and large‑scale retail operations.

Please click the ‘Apply’ button. Don’t worry if your CV isn’t up to date. Just send what you have and we’ll deal with that later.

#J-18808-Ljbffr