Machine Learning Engineer

• 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 0400 016 163 or email [email protected]

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