Senior Machine Learning Engineer
Contract | 6 Months + Extension | Hybrid | Australia-wide
Our client is seeking an experienced
Senior Machine Learning Engineer
to lead the design, development, and deployment of advanced machine learning solutions that support large-scale, data-driven decision-making in a secure and compliant environment.
This role offers the opportunity to provide technical leadership, mentor teams, and deliver innovative AI capabilities while working within government-aligned security and ethical frameworks. You will collaborate closely with data professionals, engineers, and business stakeholders to build robust, scalable ML solutions.
The position requires initial engagement with a government AI platform and an established AWS cloud environment, while also contributing to broader cloud transformation initiatives.
Key Responsibilities
* Design, develop, and deploy machine learning models for complex and diverse datasets
* Build and maintain end-to-end ML pipelines for training, testing, and production deployment
* Optimise model performance, scalability, and accuracy in production environments
* Collaborate with data scientists, engineers, and stakeholders to translate business needs into technical solutions
* Ensure compliance with Australian Government security frameworks and ethical AI principles
* Implement monitoring, maintenance, and data drift detection for deployed models
* Provide technical leadership, mentoring, and capability uplift within the team
* Stay current with emerging ML technologies, tools, and best practices
Required Skills & Experience
* Demonstrated experience as a
Machine Learning Engineer
in complex environments
* Strong proficiency in
Python
and ML frameworks such as
TensorFlow, PyTorch, and Scikit-learn
* Experience in
data engineering, feature engineering, and model optimisation
* Hands-on experience with
MLOps practices and tools
(e.g. Kubeflow, MLflow, Airflow)
* Experience working with
cloud platforms
(AWS, Azure, or GCP)
* Knowledge of
containerisation and orchestration
tools (Docker, Kubernetes)
* Strong problem-solving skills with the ability to manage competing priorities
* Excellent communication and stakeholder engagement skills
Role Details
* Contract Duration:
Initial 6 months with possibility of extension
* Start Date:
February 2026
* Location:
QLD, WA, ACT, VIC, NSW, SA, TAS
* Working Arrangement:
Hybrid (minimum 2 days per week onsite)
* Hours:
Up to 40 hours per week
* Security:
Must be an Australian Citizen and able to obtain
Baseline Security Clearance
Desired Skills and Experience
Our client is seeking an experienced Senior Machine Learning Engineer to lead the design, development, and deployment of advanced machine learning solutions that support large-scale, data-driven decision-making in a secure and compliant environment.
To be considered for the role click the 'apply' button or for more information about this and other opportunities please contact Irina Alrogi on or email: and quote the above job reference number.
Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.