Base pay range

A$160,000.00/yr - A$160,000.00/yr

We’re partnering with a large technology driven organisation that sits at the intersection of technology, data and large-scale consumer platforms. The team’s mission is to create better experiences – for customers and internal teams alike – by embedding advanced analytics and machine learning into real-world decision-making.

The role is part of a high-performing analytics engineering function that brings together strong software engineering and world-class data science. The focus is firmly on productionising, scaling and operating ML solutions, using up-to-date cloud-native tooling and agile ways of working to solve complex, high-impact problems.

Location : Sydney

Hybrid | 3 days in office/week

Salary : $160k Base + Super + Bonus

What You’ll Do:

- Design, develop, deploy and maintain advanced analytics and machine learning solutions in a cloud-native environment
- Build and operate end-to-end ML pipelines, including data pipelines, feature engineering, model deployment and API endpoints
- Take primary ownership for productionising ML solutions developed in partnership with data scientists
- Develop scalable, reliable batch and streaming solutions to support a wide range of business use cases
- Build ML-backed services and APIs using Python (including frameworks such as FastAPI)
- Collaborate closely with ML engineers, data engineers and data scientists in multidisciplinary, agile teams
- Contribute to architecture and solution design, clearly communicating trade-offs and recommendations
- Apply appropriate testing frameworks and engineering standards to ensure robustness, performance and reliability




- Continuously improve engineering practices, tooling and ways of working to improve time-to-market and system quality

What You’ll Bring:

- Strong experience working on production ML systems
- A problem‑solving mindset with the ability to break down ambiguous, complex challenges into practical solutions
- Solid commercial software engineering experience, with advanced Python skills and strong foundations in system design
- Hands‑on experience building and operating ML pipelines (e.g. managed ML platforms or custom orchestration solutions)
- Experience designing and integrating RESTful or gRPC APIs
- Proven background building reliable, high-throughput batch and/or streaming systems
- Experience working with cloud platforms and modern CI/CD pipelines
- Familiarity with real-time or NoSQL data stores
- Exposure to containerisation and orchestration technologies such as Docker and Kubernetes
- Comfortable collaborating across disciplines and communicating technical concepts to both technical and non-technical stakeholders

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

Seniority level

- Mid‑Senior level

Employment type

- Full-time

Job function

- Information Technology

Industries

- Staffing and Recruiting

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!

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📌 Senior Machine Learning Engineer (MLOps) (New South Wales)
🏢 TheDriveGroup
📍 New South Wales