About The Company

I-MED Radiology Network is a leading medical imaging provider with more than 200 clinics and approximately six million patient procedures each year. Our network brings together more than 350 doctors and 4,000 staff who share clinical knowledge and expertise in support of high-quality patient care. We are a community of professionals committed to excellence and to continually improving the services we provide.

Our teams work across clinical and operational settings, using data and technology to support better outcomes for patients and the organisation. At I-MED, you’ll have the opportunity to contribute to meaningful work in a complex healthcare environment, alongside people with a range of technical and clinical perspectives.

About The Role

We’re seeking a Junior Machine Learning Engineer to help develop and deliver scalable, reliable machine learning and artificial intelligence solutions that support clinical and operational outcomes across I-MED. This is a full-time, 12-month fixed-term opportunity based in Sydney or Melbourne.

You’ll join our Analytics team and work with Senior Machine Learning Engineers, Data Scientists, Software Engineers and clinical stakeholders. In this collaborative role, you’ll contribute to taking models and AI solutions from development through to production. You’ll gain exposure to the practices required to build, deploy and operate solutions responsibly in an enterprise healthcare environment, where reliability, security and appropriate governance are essential.

Qualifications To be successful in this role,



you’ll bring two to three or more years of experience in machine learning engineering, machine learning development, or software engineering with applied machine learning. You’ll have strong Python programming skills and practical experience using SQL, Linux, Git and MLOps practices.

You’ll understand machine learning fundamentals, feature engineering and model evaluation, and have experience deploying machine learning models or AI solutions into production. Familiarity with CI/CD approaches is also important. A degree in Computer Science, Engineering, Data Science or a related discipline is required.

Experience with Docker, cloud platforms such as AWS, GCP or Azure, and batch or streaming data pipelines will be highly regarded. Knowledge of natural language processing or generative AI is also advantageous. We value clear communication, sound problem-solving and the ability to work constructively with both technical colleagues and clinical teams.

Responsibilities In this role, you’ll develop, train and evaluate machine learning models and contribute to building AI solutions. You’ll help deploy, integrate and operate scalable machine learning and AI services and workflows, with a focus on dependable performance in production.





You’ll develop and maintain machine learning pipelines, including batch and real-time inference workflows, and support the integration of solutions with enterprise platforms. You’ll also contribute to testing, monitoring and CI/CD practices to help maintain quality and reliability throughout the model lifecycle.

Working closely with colleagues across technical and clinical teams, you’ll help deliver solutions that meet business needs while supporting high standards for security and governance. You’ll share progress, learn from experienced team members and contribute to continuous improvement across the Analytics team.

Perks

I-MED offers a range of benefits designed to support your health, wellbeing and lifestyle. These include discounted private health insurance, salary packaging, access to Fitness Passport, lifestyle and travel discounts, and access to I-MED services for your family. Employee wellbeing support is also available.

Join a large, collaborative healthcare network and contribute to machine learning initiatives with the potential to support clinical and operational outcomes. This role offers the opportunity to build your experience working with production-focused machine learning solutions and multidisciplinary teams.

Equal Opportunity

I-MED Radiology Network is committed to providing a respectful and inclusive workplace. We welcome applicants from diverse backgrounds and encourage people with relevant skills and experience to apply. Employment decisions are based on role requirements, qualifications and demonstrated capabilities.

📌 Machine Learning Engineer (Australia)
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📍 Australia