Machine Learning Engineer, computer vision | Med-Tech

Machine Learning Engineer | Computer Vision | Med-Tech 

Location: Melbourne, Australia | Hybrid

$145,000 – $165,000 + Benefits

About the Role

An exciting opportunity for a Machine Learning Engineer to join a fast-growing Med-Tech company at the intersection of AI innovation and healthcare.

You will work on advanced computer vision and medical imaging projects, building and deploying machine learning models that make a genuine impact on clinical decision-making and patient outcomes.

This role will suit an engineer who combines strong technical expertise with creativity, precision, and a passion for improving healthcare through applied AI.
Key Responsibilities

• Design, develop, and optimise machine learning models for medical imaging applications.
• Build and maintain scalable, production-grade ML pipelines and APIs.
• Collaborate with data scientists, software engineers, and clinicians to translate research into deployable solutions.
• Apply deep learning methods (CNNs, segmentation, object detection) for complex image datasets.
• Contribute to model validation and testing processes aligned with medical device standards.

Essential Skills & Experience

- 5+ years’ commercial machine learning experience.
- Minimum 2 years working specifically with medical imaging / computer vision.
- Strong skills in Python, PyTorch, OpenCV, CNNs, and MLOps.
- Demonstrated experience building ML models for production environments.
- Familiarity with SaMD Class II regulatory or compliant development advantageous.


Why Apply?
 

• Work with cutting-edge technology transforming healthcare.
• Collaborate with experts in AI, imaging, and medical innovation.
• Competitive salary, benefits, and hybrid flexibility.
• Join a purpose-driven environment where your work directly impacts patient care.