Job Description
Base pay range
A$160,******/yr - A$160,******/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 modern 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 solid 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 ******.
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!
#J-*****-Ljbffr

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