AI/ML engineering experience developing machine learning models within complex engineering environments
Permanent Full time
Based in Canberra - onsite
Must hold a current NV1 Security Clearance

Our Client

Our client aims to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for valuable. Our client provides a full spectrum of qualified services including consulting, technical, scientific and project delivery for the government and private sector.

The Role

An exciting opportunity exists for an experienced AI/ML Engineer to provide technical leadership across cutting-edge programs. You will support the development of AI/ML capability, influence future policy and certification approaches, and work closely with engineering teams to deliver cutting-edge solutions within secure, mission-critical environments.

Your duties will include:
Develop AI/ML requirements and provide technical expertise across complex capability programs.
Design, develop and evaluate machine learning models using modern AI frameworks and engineering best practices.




Represent the organisation at AI/ML working groups, conferences and technical forums.
Support the development of AI/ML certification policies and technical governance for future autonomous systems.
Collaborate with multidisciplinary engineering teams to integrate AI/ML solutions into complex platforms.

Skills and Experience
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning or a related discipline.
Demonstrated experience developing machine learning models using Python and frameworks such as PyTorch, TensorFlow, Scikit-learn or OpenCV.
Experience working with complex datasets including imagery, video, sensor, telemetry or time-series data.
Strong understanding of the end-to-end machine learning lifecycle, including model development, validation, testing, deployment and performance monitoring.
Experience applying up-to-date software engineering practices including version control, automated testing, documentation and Agile delivery.
Ability to work effectively across multidisciplinary engineering teams in secure or safety-critical environments.
Excellent analytical, communication and stakeholder engagement skills.
J-18808-Ljbffr

📌 Artificial Intelligence / Machine Learning Engineer Canberra
🏢 Talent
📍 Canberra