- Permanent Full-Time | Package between $190k - $220k
- Canberra | On-site requirements
- Minimum NV1 security clearance required

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.

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.

The Role

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 setting.

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.

Your responsibilities will include:

- Supporting the development and definition of AI/ML requirements
- Developing AI/ML policy and technical guidance to support the certification of future systems
- Providing AI/ML subject matter expertise across multidisciplinary engineering activities
- Working across systems, software, data, hardware, operations and test teams to support AI/ML integration
- Representing the organisation at relevant AI/ML conferences,



working groups and technical forums

About You

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.

We’re particularly interested in experience across:

- A Bachelor Degree in Computer Science (AI/ML) or similar
- Hands-on machine learning development using Python and frameworks such as PyTorch, TensorFlow, Scikit-learn or OpenCV
- Experience working with complex datasets such as imagery, video, sensor, telemetry, time-series, simulation or engineering data
- Strong knowledge of model development, validation, testing, deployment and performance monitoring
- Good software engineering practices across version control, code review, automated testing and documentation
- Experience working across multidisciplinary engineering teams
- A current NV1 security clearance

Experience across computer vision, sensor fusion, edge or embedded AI, autonomy, simulation, MLOps or real-time data processing would be particularly valuable.

Why Consider the Opportunity?

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.

- 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