Junior Machine Learning Engineer

Narooma; Melbourne; Hybrid; AUD 70,000 - 100,000; Full time

Job summary

I-MED, a leading medical imaging provider, seeks a Junior Machine Learning Engineer for a 12-month fixed-term, full-time role in Melbourne or Sydney. Join a team delivering scalable ML/AI solutions that support clinical and operational outcomes across our organisation.

Work with Senior ML Engineers, Data Scientists, Software Engineers and Clinical stakeholders to move ML models from development to production, building robust pipelines and governance.

Qualifications

• 2–3+ years' experience in ML engineering, ML development or software engineering with applied ML.
• Strong Python programming skills; experience with SQL, Linux, Git and MLOps.
• Experience deploying ML models or AI solutions in production with CI/CD.

Responsibilities

• Develop, train and evaluate ML models and build AI solutions.
• Deploy, integrate and operate scalable ML/AI services and workflows.
• Develop and maintain ML pipelines with batch and real-time inference; integrate with enterprise platforms.
• Implement testing, monitoring and CI/CD practices.
• Collaborate with technical and clinical teams to deliver secure, governed solutions.

Skills

Python

SQL

Linux

Git

MLOps

CI/CD

Feature engineering

Model evaluation

Production deployment

Education

Bachelor's degree in CS/Engineering/Data Science

Tools

Docker

AWS

GCP

Azure

CI/CD pipelines

Job description

Description

Junior Machine Learning Engineer

12 months Fixed Term -Full Time

Sydney or Melbourne

We're looking for a Machine Learning Engineer to help develop and deliver scalable, reliable machine learning and AI solutions that support clinical and operational outcomes across our organisation.

Working within our Analytics team, you'll collaborate with Senior ML Engineers, Data Scientists, Software Engineers and Clinical stakeholders to take ML models and AI solutions from development through to production.

What you'll do

• Develop, train and evaluate ML models, and build AI solutions.
• Deploy, integrate and operate scalable ML/AI services and workflows.
• Develop and maintain ML pipelines, including batch and real-time inference, integrating ML solutions with enterprise platforms.
• Implement testing, monitoring and CI/CD practices.
• Collaborate across technical and clinical teams to deliver high-quality, secure and governed solutions.

What you'll bring

• 2-3+ years' experience in ML engineering, ML development or software engineering with applied ML.
• Strong Python programming skills, with hands on experience in SQL, Linux, Git and MLOps.
• Strong understanding of ML fundamentals, feature engineering and model evaluation.
• Experience deploying ML models or AI solutions in production, with knowledge of CI/CD.
• A degree in Computer Science, Engineering, Data Science or a related discipline.

Experience with Docker, cloud platforms (AWS, GCP or Azure), batch and streaming data pipelines, NLP or Generative AI will be highly regarded.

About I-MED

At I-MED, we're more than just a medical imaging provider - we're a community of passionate professionals committed to excellence for our patients. With over 200 clinics and a staggering 6 million patient procedures annually, we proudly stand as one of the largest providers of medical imaging in the world. Our success lies in our people with over 350 dedicated doctors and 4,000 staff members who actively share clinical knowledge and expertise.

For more information visit: www.i-med.com.au.

Why join I-MED

Enjoy exclusive benefits including discounted private health insurance, salary packaging, Fitness Passport access, lifestyle and travel discounts, I-MED services for your family and employee wellbeing support.

Ready to make an impact?

Join I-MED and help us shape the future of medical imaging through machine learning.