Senior Machine Learning Engineer

This role can be based anywhere in Australia with remote first work or in Adelaide or Perth with Hybrid working where our offices are located. Critical minerals are the bottleneck in the clean energy transition, and finding them faster is as much a machine learning problem as a geophysics one. At Fleet Space, our satellite-enabled exploration technology helps generate the data and the models to find deposits faster and more efficiently. To help continue to build and scale our products we are looking for a Senior Machine Learning Engineer to help build out our ML operations to develop, mature and deploy the models and systems behind that work. You will partner with our another Senior ML Engineer & our Data science team to take their research models from notebooks and prototypes through to production-grade products, and you will own the pipelines, GPU environments and infrastructure those systems run on. This is a role with a focus on scaling our ML ops alongside our Senior ML Engineer. You will design leakage-safe evaluation, verify that uncertainty calibration holds as new data lands, and keep every model's lineage reproducible from config through to prediction. You will also own our ML experiment platform: MLflow tracking and the model registry, run identity and provenance conventions, and the environments and dependencies that training jobs run in. Where the platform team has shared infrastructure modules you will reuse them, and you will contribute new patterns back. W