Senior ML Engineer

Position Summary

This is a hands-on role where you'll design, build, and maintain the production-grade ML infrastructure that turns research prototypes into systems delivering measurable impact for patients and clinicians. Working closely with data scientists, clinicians, and technology teams, you'll bring deep technical expertise across the AI/ML stack, balanced with a strong commitment to quality, governance, and continuous improvement in a complex healthcare environment.

What You’ll Do

• Design, build, and maintain scalable ML pipelines and infrastructure for training, evaluation, deployment, and monitoring
• Partner with data scientists and researchers to turn prototypes into robust, reproducible, production-ready systems
• Engineer and operationalise AI systems across modalities and paradigms; LLM-based and agentic applications, classical ML and other emerging architectures
• Lead model lifecycle management: versioning, A/B testing, drift monitoring etc.
• Ensure ML/AI systems comply with Bayside Health's AI governance, privacy, and security standards, including explainability and human-in-the-loop requirements
• Contribute to maturing data science standards and delivery frameworks

What We’re Looking For

• Master's degree in a quantitative field
• 5+ years in an ML or data engineering role
• Proven track record deploying production ML systems
• Cloud experience (Azure/Databricks) and healthcare highly regarded

Staff Benefits

• Generous salary packaging and novated leasing are available through Maxxia
• Onsite child care services, payroll deductible expense
• Onsite staff gym, a payroll deductible expense
• Modern onsite library faculties, exclusive to Alfred Health staff
• Access to health and wellbeing incentives

Contact Information

To apply, please submit your resume and cover letter. For enquiries regarding this role, please contact Theo Christian - Analytics Partnering Manager, on 0437 948 528. Applications close: 11pm AEST, Thursday 30th July 2026.