Senior ML Engineer - MLOps & Production Scale

Fleet Space Technologies; Adelaide; Hybrid; AUD 150,000 - 200,000; Full time

Benefits offered by this job

Remote-first policy

Hybrid office options in Adelaide &amp

Office facilities in Adelaide and/or  

Professional development opportunities

Job summary

Fleet Space Technologies is seeking a Senior Machine Learning Engineer to scale ML operations and deploy production-grade models and systems across our satellite-enabled exploration platform.

You will own end-to-end ML pipelines, experiment tracking, and model provenance while collaborating with the data science team and platform engineers. This is a remote-first role with hybrid offices in Adelaide or Perth, Australia.

Qualifications

• Deep expertise in machine learning across modeling, data engineering and architecture.
• Experience turning research artifacts into production-grade ML products.

Responsibilities

• Transition research models into production-ready products with scalable code and tests.
• Build and maintain robust ML and data pipelines and the infrastructure behind them.
• Own the ML experiment platform: MLflow tracking and model registry, provenance conventions and environments.

Skills

Python

ML Engineering

Data pipelines

Systems design

Unit testing

GitLab workflows

Tools

TensorFlow

PyTorch

MLflow

AWS

Databricks

Terraform

GitLab

Zarr

Icechunk

Job description

Fleet Space Technologies is seeking a Senior Machine Learning Engineer to scale ML operations and deploy production-grade models and systems across our satellite-enabled exploration platform.

You will own end-to-end ML pipelines, experiment tracking, and model provenance while collaborating with the data science team and platform engineers. This is a remote-first role with hybrid offices in Adelaide or Perth, Australia.