Machine Learning Engineer

*Multiple Roles Available*

We're partnering exclusively with a purpose-driven, product-led SaaS start-up that applies machine learning to solve meaningful, real-world problems at scale. Their platform supports organisations globally by turning complex data into actionable insights, enabling smarter decision-making and measurable outcomes.

Machine Learning here isn’t experimental or theoretical - it’s deeply embedded in the product. Models are deployed, monitored, iterated on, and directly influence how customers operate day to day.

Location - Sydney | Hybrid (1 day in office/week)

Salary - Up to $150k Base + Super + ESOP (dependent on experience)

What You’ll Do:

• Build, train, deploy, and maintain machine learning models used in live production systems.
• Work across data preparation, feature development, modelling, and inference.
• Improve model performance through experimentation, evaluation, and iteration.
• Operate and support ML pipelines, including monitoring, debugging, and optimisation.
• Partner with engineers and product stakeholders to integrate ML outputs into customer-facing features.
• Contribute to the ongoing evolution of data and ML infrastructure as usage and complexity increase.

What You'll Bring:

• Experience delivering applied machine learning in real-world, production environments.
• Strong Python skills with an engineering-first approach and focus on maintainable code.
• Solid SQL and experience working with large, imperfect datasets.
• Understanding of backend systems, data modelling, and production software practices.
• Ability to reason about data quality, statistical trade-offs, and modelling decisions.
• Degree in a technical or quantitative discipline, or equivalent professional experience.
• Exposure to modern cloud-based data or ML workflows is helpful but not required.

If you have any questions about this role or others we have available you can email directly via [email protected]

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TheDriveGroup is 100% committed to improving meaningful diversity in the technology industry.

We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths.

If you have the right skills and attitude we would love to hear from you!