Machine Learning Engineer at IAG AUS

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 25

Salary

0.0

Posted On

21 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Google Cloud Platform, Data Security, Governance, Compliance Standards, Docker, Python, Documentation, Monitoring Tools, Cross-Functional Collaboration, CI/CD Tools, API Design

Industry

Insurance

Description

Create impact as a Machine Learning Engineer. Join the largest general insurance group in Australia and Aotearoa New Zealand. We’re a top-tier ASX-listed company helping to make the world a safer place through creating a stronger and more resilient business and enabling our portfolio of iconic insurance brands. Your Role As a Machine Learning Engineer, you will deploy and monitor ML models on Google Cloud Platform, ensuring they meet performance, accuracy, and compliance standards. You’ll support testing, maintain detailed deployment documentation, and act as a bridge between data science, engineering, and data teams to ensure smooth collaboration. Additionally, you'll help uphold governance requirements and continuously improve deployment processes. This is a permanent role with exciting opportunities for growth and learning, open to candidates based in Gadigal Country (Sydney), Naarm (Melbourne) About You Experience in ML or another related field. Hands-on experience deploying ML models in production on Google Cloud Platform (GCP). Extensive knowledge in data security, governance, and compliance standards for ML deployments. Experience with using Google Cloud tools, building docker images and programming in Python Strong documentation skills, with experience in creating, maintaining, and disseminating ML best practices across teams. Expertise in implementing and using tools to monitor and evaluate the performance, reliability, and scalability of ML models. Experience working cross-functionally, particularly between machine learning, data science, and data engineering teams. Ability to work with data scientists to deploy, maintain, and optimize machine learning models in accordance with architectural guidelines. Exposure to CI/CD tools (eg. GitHub Actions) and API design are advantageous Applications close Wednesday 24 September 23:59pm AEDT. Joining IAG you’ll have access to raft of benefits from across the IAG group: Boosted superannuation with 13% as standard Up to 50% off personal insurance, including home and motor insurance 5 myLeave days per year on top of annual leave Work from home and many more flexibility options with myFlex Dedicated career growth programs, including the award-winning IAG Academy Inclusive leave such as public holiday swap and gender affirmation leave Discounts on every day and special occasion items A certified Family Inclusive WorkplaceTM *employment type eligibility criteria apply ABOUT US As part of IAG you'll enjoy a world of career opportunities, a purpose-led place focused on creating connection and belonging, and where you can create meaningful impact every day and grow your career beyond the expected. That’s not just words. It’s our people promise. We're ready for you with unexpected opportunities for your career, your work-life and your ability to make a difference. We celebrate all viewpoints shaped by life experiences and culture, and are guided by the knowledge and voice of Aboriginal and Torres Strait Islander peoples, businesses, and communities. We collaborate on Indigenous-led solutions that enable growth and create meaningful change for our customers and employees. We’re ready for you. Apply today. Learn more about who IAG is here

Responsibilities

As a Machine Learning Engineer, you will deploy and monitor ML models on Google Cloud Platform, ensuring they meet performance, accuracy, and compliance standards. You’ll support testing, maintain detailed deployment documentation, and act as a bridge between data science, engineering, and data teams to ensure smooth collaboration.