Join a newly established team designing, building and operating Machine Learning solutions in our Banking and Financial services group. This team is pivotal in our journey to empower Macquarie’s data science and machine learning capability at scale using cutting edge cloud technology.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 34 markets and with 55 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.
What role will you play?
As a Machine Learning Platform Engineer, you’ll take end-to-end ownership of your product in a modern DevOps culture. You’ll be responsible for architecture, design, development, testing and operations and deliver incrementally in iterative cycles. You will have an Agile mindset and keen interest in software engineering across a range of technologies.
You will work in a multi-disciplinary team alongside our data scientists to build ML powered solutions for our clients as well as implement MLOps to streamline the model experimentation and ML tooling and workflows for our Data Scientists.

What you offer

• 5+ years experience as a software engineer in an agile devops environment using an object-oriented development language (Java, Python)
• Experience across the full SDLC including design, build, test and supporting mission-critical production platforms
• Able to implement MLOps best practices including CI/CD pipelines
• Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations and experience with SQL and Python environments.
• Data engineering experience will be highly regarded
• Previous experience and familiarity with cloud technologies and architectural practices to enhance tooling across the ML model development lifecycle
• Good collaboration and communication skills, a self-starter that is able to work in a team to deliver solutions.

We love hearing from anyone inspired to build a better future with us, if you’re excited about the role or working at Macquarie we encourage you to apply.
About Technology
Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.
Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• Hybrid and flexible working arrangements
• One wellbeing leave day per year and up to five additional days leave based on length of service
• Up to 20 weeks paid parental leave as well as benefits to support you as you transition to life as a working parent
• Paid volunteer leave and donation matching
• Range of benefits to support your physical, psychological and financial wellbeing
• Access to a wide range of learning and development opportunities

Our commitment to diversity, equity and inclusion
We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process

Please refer the Job description for details