Lead | Senior ML, AI Engineer | Brisbane

Senior / Lead Machine Learning Engineer | Computer Vision

Location: Australia, Brisbane  

We have an exciting opportunity available for an experienced Senior / Lead Machine Learning Engineer to join a growing engineering team developing advanced AI and computer vision systems deployed at the edge.
This role combines hands-on machine learning engineering with technical leadership, working across the full lifecycle of AI development - from model design and experimentation through to deployment on embedded platforms and integration into operational systems.

You will work at the intersection of machine learning, computer vision, and real-world system deployment, contributing to technologies used in demanding operational environments.

The Role

You will play a key role in designing, building, and deploying high-performance computer vision models while helping shape the direction of the machine learning capability within the organisation.

This is a hands-on technical leadership role, where you will remain deeply involved in model development while also guiding technical decisions, mentoring engineers, and supporting delivery across complex ML initiatives.

Key Responsibilities

Machine Learning & Computer Vision

• Design, train, and evaluate computer vision models including object detection, classification, and segmentation
• Conduct structured experimentation and performance analysis to guide model architecture decisions
• Optimise models for edge deployment across embedded hardware platforms
• Convert and deploy models using frameworks such as TensorRT, ONNX, or TFLite
• Support development of data pipelines, dataset curation, and annotation workflows
• Benchmark and tune model performance for latency, accuracy, and operational constraints
• Contribute to ML assurance practices including validation, benchmarking, and regression testing
• Mentor engineers and contribute to the growth of the ML capability

Experience required: 

• Degree in Computer Science, Engineering, Data Science, or equivalent experience
• Strong experience developing production machine learning systems
• Hands-on expertise with deep learning frameworks such as PyTorch
• Experience developing computer vision models

Desirable experience:

• Experience in senior or lead machine learning engineering roles
• Experience deploying ML models to embedded or edge platforms (e.g. Jetson, Qualcomm)
• Familiarity with MLOps tooling, CI/CD pipelines, and model lifecycle management
• Experience working on real-time systems, robotics, aerospace, or defence-related technologies