Machine Learning Engineer

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

You will be a key member of the Enterprise Activation and AI Engineering team team and will slot into cross-functional squads. You'll contribute to the development and productionisation of AI/ML solutions, including containerisation, deployment, versioning, and monitoring their performance. In addition, you’ll support developing solutions around Generative AI, leveraging Large Language Models, through open-source deployment or API integration. This involves integrating and optimizing generative AI models using advanced Prompt Engineering techniques such as RAG or ReAct, as well as develop specialised LLMs or SLMs through fine-tuning.

Outside of active projects, you’ll be encouraged to focus on skill development, continuous learning, and sharing knowledge both within and outside the organisation.

Your expertise will help bring AI models to life, from traditional machine learning to cutting-edge generative AI—by building, deploying, and scaling solutions that transform the way we operate.

This is a permanent role, offers a flexible hybrid work model. We welcome applicants from Gadigal Country (Sydney), Naarm (Melbourne)

About You 

• At least 3 years of experience in AI/ML engineering and operations.
• Experience and solid understanding of ML in production.
• Demonstrated software engineering skills in Python
• Some experience with building data pipelines, ML pipelines, and Model Deployment frameworks, including Docker, Kubernetes, REST APIs, real-time processing and cloud infrastructure
• Some experience in working with and building ML models and ML pipelines in public cloud; GCP and/or AWS experience are highly regarded.
• Experience in commercial deployment of emerging ML technologies and data analytics.
• Experience with ML toolkits such as Keras, Tensorflow, ScikitLearn, PyTorch or equivalent.
• Experience with advanced AI/ML methodologies especially large language models such as Open AI GPTs, Azure OpenAI, Claude and Gemini.
• Experience with design and implementation of experimentation to evaluate performance of AI/ML models in a production setting.
• Ability to interact with engineering and data science teams on technical topics.
• Business-driven problem-solving skills.
  
  

Applications close Sunday 17th August 2025 , 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.