* 6-month contract with potential extension options
* Multiple locations available across ACT, NSW, VIC, QLD, SA, and TAS with a hybrid working model
* Baseline security clearance required (Australian citizenship essential)
* Strong ML Ops experience across cloud platforms, CI/CD pipelines, and model deployment at scale
This is a unique opportunity for an experienced Machine Learning Operations Engineer to play a pivotal role in operationalising machine learning solutions within a secure and complex enterprise environment. You will be responsible for enabling scalable, reliable, and automated ML workflows that support high-impact, data-driven initiatives and emerging AI capabilities.
Your duties will include:
* Designing, implementing, and maintaining ML pipelines for training, deployment, and monitoring
* Developing automation and CI/CD workflows to support ML model lifecycle management
* Optimising ML infrastructure for performance, scalability, and cost efficiency
* Collaborating with data scientists and engineers to transition models into production
* Implementing monitoring, alerting, and data drift detection for deployed models
* Providing technical advice, mentorship, and support to stakeholders
Skills and Experience we are looking for:
* Demonstrated experience in ML Ops or related roles within complex environments
* Strong knowledge of ML lifecycle management and deployment strategies
* Hands-on experience with cloud platforms and containerisation technologies
* Proficiency with ML Ops tools such as Kubeflow, MLflow, and Airflow
* Solid understanding of data engineering, automation frameworks, and version control
* Excellent problem-solving skills with the ability to work under pressure
Application Process:
If you would like to apply, please contact
Sanat on or email
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