Job Description
Base pay range
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A$160,******/yr - A$160,******/yr
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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.
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The role is part of a high-performing analytics engineering function that brings together solid 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.
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Location: Sydney
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Hybrid | 3 days in office/week
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Salary: $160k Base + Super + Bonus
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What You'll Do:
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Design, develop, deploy and maintain advanced analytics and machine learning solutions in a cloud-native environment
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Build and operate end-to-end ML pipelines, including data pipelines, feature engineering, model deployment and API endpoints
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Take primary ownership for productionising ML solutions developed in partnership with data scientists
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Develop scalable, reliable batch and streaming solutions to support a wide range of business use cases
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Build ML-backed services and APIs using Python (including frameworks such as FastAPI)
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Collaborate closely with ML engineers, data engineers and data scientists in multidisciplinary, agile teams
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Contribute to architecture and solution design, clearly communicating trade-offs and recommendations
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Apply appropriate testing frameworks and engineering standards to ensure robustness, performance and reliability
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Continuously improve engineering practices, tooling and ways of working to improve time-to-market and system quality
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What You'll Bring:
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Strong experience working on production ML systems
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A problem‐solving mindset with the ability to break down ambiguous, complex challenges into practical solutions
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Solid commercial software engineering experience, with advanced Python skills and strong foundations in system design
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Hands‐on experience building and operating ML pipelines (e.g. managed ML platforms or custom orchestration solutions)
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Experience designing and integrating RESTful or gRPC APIs
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Proven background building reliable, high-throughput batch and/or streaming systems
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Experience working with cloud platforms and up-to-date CI/CD pipelines
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Familiarity with real-time or NoSQL data stores
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Exposure to containerisation and orchestration technologies such as Docker and Kubernetes
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Comfortable collaborating across disciplines and communicating technical concepts to both technical and non-technical stakeholders
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If you have any questions about this role or others we have available you can email Jack directly via
******.
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Seniority level
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Mid‐Senior level
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Employment type
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Full-time
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Job function
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Information Technology
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Industries
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Staffing and Recruiting
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TheDriveGroup is 100% committed to improving meaningful diversity in the technology industry.
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We partner with clients who embrace diversity and seek candidates across all backgrounds, abilities, genders, sexualities, cultures, and faiths.
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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