Job Description
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Permanent Full-Time | Package between $190k - $220k
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Canberra | On-site requirements
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Minimum NV1 security clearance required
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Take your AI/ML experience beyond traditional model development and into a complex engineering environment where machine learning needs to work alongside real-world systems, hardware, data and operational requirements.
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You'll combine hands-on machine learning expertise with work across AI/ML requirements, policy and technical guidance, using complex datasets such as imagery, video, sensor data, telemetry, time-series and simulation data. Depending on your background, this could involve areas such as computer vision, sensor fusion, edge AI, autonomy and real-time processing.
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The Role
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As an AI / Machine Learning Engineer, you'll bring both technical depth and an engineering mindset to the development and application of AI/ML within a secure, highly regulated environment.
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Rather than sitting solely within software or data, you'll work across systems, software, hardware, operations and test teams, helping shape how AI/ML is developed, governed and applied within future technical systems.
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Your responsibilities will include:
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Supporting the development and definition of AI/ML requirements
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Developing AI/ML policy and technical guidance to support the certification of future systems
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Providing AI/ML subject matter expertise across multidisciplinary engineering activities
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Working across systems, software, data, hardware, operations and test teams to support AI/ML integration
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Representing the organisation at relevant AI/ML conferences,



working groups and technical forums
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About You
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You'll bring strong hands-on machine learning engineering experience, along with the ability to apply that knowledge within complex technical environments where performance, validation and integration all matter.
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We're particularly interested in experience across:
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A Bachelor Degree in Computer Science (AI/ML) or similar
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Hands-on machine learning development using Python and frameworks such as PyTorch, TensorFlow, Scikit-learn or OpenCV
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Experience working with complex datasets such as imagery, video, sensor, telemetry, time-series, simulation or engineering data
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Strong knowledge of model development, validation, testing, deployment and performance monitoring
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Good software engineering practices across version control, code review, automated testing and documentation
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Experience working across multidisciplinary engineering teams
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A current NV1 security clearance
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Experience across computer vision, sensor fusion, edge or embedded AI, autonomy, simulation, MLOps or real-time data processing would be particularly valuable.
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Why Consider the Prospect?
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The work here extends well beyond building and deploying models. You'll be involved in how AI/ML is integrated into complex systems, how models are tested and assured, and how requirements and policy are developed as the technology evolves.
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There is also a range of employee benefits available, including the option to purchase additional leave and support for professional development and certifications.
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📌 Ai Machine Learning Engineer (Canberra)
🏢 Talent
📍 Canberra