Senior Lead, ML & AI Solutions - Remote

Australian Institute of Health & Welfare; Sydney; Hybrid; AUD 180,000 - 230,000; Full time

Benefits offered by this job

Flexible working arrangements

Generous superannuation and leave

Challenging and fulfilling work

Professional development

Job summary

Australian Institute of Health & Welfare is seeking an EL1 Machine Learning and Artificial Intelligence Senior Lead in Sydney to drive end-to-end ML/AI initiatives. You will lead the lifecycle from design and model development through deployment, monitoring, and evaluation, while guiding cross-functional teams and stakeholders to deliver impactful health and welfare insights.

The role requires hands-on Python programming, delivery of production-grade AI/ML solutions, and a focus on safe and

Qualifications

• Experience across the ML/AI lifecycle from design to deployment.
• Strong hands-on Python programming and modern frameworks.
• Ability to translate complex concepts into actionable insights for senior leadership.
• Experience collaborating with cross-functional teams on complex data sets.
• Commitment to safe and responsible AI adoption and governance.

Responsibilities

• Lead end-to-end ML/AI project lifecycle: engagement, design, development, testing, deployment, monitoring and evaluation.
• Oversee design, development, deployment and improvement of ML/AI solutions and data automation pipelines.
• Collaborate with data domain experts to leverage complex datasets for impact.
• Research and integrate emerging ML/AI technologies and best practices.
• Develop user guides, codebases and supporting documentation.
• Contribute to ML/AI roadmap, governance and responsible adoption plans.
• Provide specialist AI/ML advice to CAIO and AIAO to support governance and adoption.

Skills

ML

Deep Learning

NLP

LLMs

Python

Job description

Australian Institute of Health & Welfare is seeking an EL1 Machine Learning and Artificial Intelligence Senior Lead in Sydney to drive end-to-end ML/AI initiatives. You will lead the lifecycle from design and model development through deployment, monitoring, and evaluation, while guiding cross-functional teams and stakeholders to deliver impactful health and welfare insights.

The role requires hands-on Python programming, delivery of production-grade AI/ML solutions, and a focus on safe and