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Role Description

UASPO requires the support of an Artificial Intelligence/Machine Learning (AI/ML) subject matter expert to support both the AUSLIST program and ASCA Precision Loitering Munitions (PLM) missions.

Key responsibilities:

- Support the development of AI/ML requirements,
- Represent the client at AI/ML related Defence activities (conferences and working groups) and
- Develop AI/ML policy for the certification to support future UAS projects within the client's program of work including RAS at Scale Delivery Model.

Essential Requirements

- Bachelor Degree in Computer Science (AI/ML) or similar
- Demonstrated experience developing machine learning models using Python and common AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, OpenCV, or similar.
- Experience working with complex datasets, including imagery, video, sensor data, telemetry, time-series data, simulation data, or engineering data.
- Strong understanding of machine learning model development, validation, testing, deployment, and performance monitoring.
- Experience with software engineering practices, including version control, code review, automated testing, documentation, and agile delivery.
- Ability to work in multidisciplinary engineering environments involving systems, software, data, hardware, operations, and test teams.
- Strong analytical, problem-solving, communication, and stakeholder engagement skills.




- Ability to work within secure, regulated, or safety-critical environments.
- Eligibility to obtain and maintain an appropriate security clearance

Desirable Requirements

- Experience in UAS, autonomous systems, loitering munitions, aerospace, defence, robotics, electronic systems, mission systems, or weapons systems programs.
- Experience with computer vision, sensor fusion, edge AI, embedded AI, geospatial analytics, autonomy assurance, simulation environments, or real-time data processing.
- Experience with MLOps tools and platforms such as MLflow, Kubeflow, Docker, Kubernetes, Git, CI/CD pipelines, model registries, or cloud-based AI/ML services.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Experience supporting test and evaluation, verification and validation, trials, operational analysis, or safety assurance activities.
- Knowledge of systems engineering, model-based systems engineering, digital engineering, requirements management, configuration management, and technical governance.
- Understanding of defence security, export controls, ITAR/EAR, cyber security, safety management, human-in-the-loop systems, and responsible AI principles.
- Experience with tools such as MATLAB, Simulink, ROS, C++, CUDA, SQL, Databricks, Palantir, Teamcenter, Cameo, DOORS, Jira, Confluence, or similar.

Required Security Clearance Level

NV1

Location

Brisbane or Canberra

Hours

80hr per fortnight, as agreed with client.

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📌 Artificial Intelligence / Machine Learning Engineer (Canberra)
🏢 Amentum
📍 Canberra