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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.
Robust 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