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Reserve Bank of Australia

Machine Learning Engineer

Posted 5 Days Ago
Be an Early Applicant
In-Office
Sydney, New South Wales
Entry level
In-Office
Sydney, New South Wales
Entry level
The Machine Learning Engineer will develop and manage scalable AI and advanced analytics solutions, ensuring production models are robust and high-performing while collaborating with teams across the bank.
The summary above was generated by AI
  • Machine-Learning development and operations (MLOps) opportunity

  • Permanent role in a hybrid work environment - 50% Office/Home

  • Shape and guide the development of Machine Learning Operations at the Reserve Bank of Australia

We have an exciting newly created opportunity for a Machine Learning Engineer to join our Analytical Centre of Excellence team, where you’ll play a key role in delivering scalable, production-ready AI and advanced analytics solutions across the Bank.

As a Machine Learning Engineer, you’ll ensure data science applications are robust, maintainable, and aligned with our enterprise architecture, data, and technology standards.

You’ll be part of our Data Delivery, Knowledge Management team who are a passionate, collaborative group of problem-solvers who share ideas openly to deliver modern, efficient analytical outcomes for the Bank.

About the role

  • Collaborate with teams across the organisation to translate advanced data analytics and AI solutions from ideation and requirements gathering to production.

  • Embed robust Machine Learning Operations practices and capabilities within Knowledge Management to enable scalable deployment, monitoring and continuous improvement of data products and AI systems around the Bank.

  • Deploy advanced analytical tools, applications, and models into production environments.

  • Implement solutions to ensure deployed models are observable and explainable

  • Monitor and maintain production systems, ensuring high availability, performance, and timely updates or retraining.

  • Manage code versioning, CI/CD pipelines, automation processes, and documentation to support reliable and repeatable deployments and operations.

About you

  • Demonstrated knowledge of MLOps principles, including CI/CD for ML, dataset and model monitoring, versioning, and lifecycle management.

  • Demonstrated experience deploying and managing advanced analytical pipelines and models in enterprise environments.

  • Demonstrated knowledge of scalable system design and integration with enterprise data platforms.

  • Proficiency in Python, R, and SQL

  • Demonstrated experience with Microsoft Azure and containerisation technologies (e.g. Docker, Kubernetes).

  • Demonstrated problem-solving and debugging skills, with a focus on automation and reliability.

  • Demonstrated ability to collaborate across technical and non-technical teams to deliver business-aligned solutions.

  • Demonstrated commitment to maintaining high-quality documentation and adherence to applicable information and data management standards.

  • Familiarity with monitoring and observability approaches and technologies.

  • Awareness of Data Management & Governance principals.

Be More
Working for an organisation that truly makes a difference to the people of Australia, we can offer development and career opportunities in a collaborative environment that supports your growth, wellbeing and promotes flexibility. Your individual growth and success drives the RBA forward as an organisation. Be more means you can do more, for yourself and for Australia.
Why RBA?
The RBA makes an important contribution to the Australian economy through the pursuit of national economic policy objectives and associated activities in financial markets and banking. We also issue Australia's banknotes and operate infrastructure critical to the payments system, all of which contribute to the welfare of the Australian people. Made up of specialists across a wide range of fields, our people, values, and culture play a critical role in achieving our objectives. Striving to be Open & Dynamic, we consider and incorporate different perspectives, work across teams and are transparent with each other, whilst delivering quality together effectively and focusing on outcomes by prioritising, testing, learning, and refining as we go. Our people conduct themselves with a high degree of integrity, while striving for excellence in the work they perform and the outcomes they achieve. We encourage intelligent inquiry and we treat one another with respect while promoting the public interest through our efforts. We know it is the growth and success of our people that drives the RBA forward. Come and make a bigger contribution while you build and develop your own skills too, because being more means you can do more, for yourself and for Australia.
The Reserve Bank of Australia is committed to equity, diversity and inclusion through key initiatives. We welcome and encourage applicants from diverse backgrounds to apply, including Aboriginal and Torres Strait Islander peoples, culturally and linguistically diverse background, those living with a disability and from the LGBTQ+ community. We are committed to making the recruitment process fair and equitable for all our candidates.

Application Close :

December 09, 2025

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Top Skills

Docker
Kubernetes
Azure
Python
R
SQL

Reserve Bank of Australia Sydney, New South Wales, AUS Office

65 Martin Pl, , Sydney, NSW ,, Australia, 2000

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