Machine Learning Engineer

Salary: $900 - $1100 per day incl. Super (flexible)

Join a nationally significant organisation responsible for delivering critical weather, climate and environmental services that impact millions of Australians every day. This is an exciting opportunity for an experienced Machine Learning Engineer (MLOps) to work at the intersection of machine learning, cloud engineering and scientific data, helping transform advanced forecasting models into production-ready services.

About the Role As a Machine Learning Engineer(MLOps), you will play a key role in designing, deploying and maintaining machine learning models that support forecasting, decision-support systems and customer-facing services.

Working within a multidisciplinary team of scientists, engineers and domain experts, you will develop scalable machine learning solutions using complex time-series, geospatial and scientific datasets. You'll be responsible for managing the full model