Senior Machine Learning Engineer

The Role:

Are you ready to transform customer experience and lead the charge in fraud detection? As a Senior Machine Learning Engineer, you’ll play a pivotal role in shaping the future of our AI/ML capabilities. Collaborating with teams across Fraud, Technology, Product, Sales, and Finance, you'll design, train, and deploy advanced machine learning models to enhance customer experience and protect against fraud. Your work will directly drive business growth while ensuring robust fraud prevention.

What You'll Be Doing:

• Design & Innovate: Create and refine machine learning algorithms that enhance customer experience (CX) and fight fraud, pushing the boundaries of what’s possible.

• Optimise Performance: Experiment with new techniques, architectures, and feature selection to ensure top-tier model performance.

• Clean and Curate Data: Work with large datasets, ensuring high-quality data for training and testing – setting the stage for powerful, reliable models.

• Deploy & Scale: Deploy and maintain machine learning models in production environments, ensuring that they are scalable, efficient, and reliable.

• Collaborate Cross-Functionally: Collaborate closely with fraud analysts, software engineers, product managers, and business stakeholders to ensure our ML solutions align with the company’s goals, particularly as it relates to fraud detection and prevention.

• Stay at the Forefront of Innovation: Always be learning and experimenting with emerging trends in machine learning and AI to keep us ahead of the curve.

What We’re Looking For:

Core Skills:

• A strong background in probability, statistics, and algorithms and how to apply these to Fraud Detection and Prevention.

• Expertise in machine learning frameworks (e.g., Keras, PyTorch).

• Experience in deploying machine learning models on cloud platforms such as AWS, GCP, or Azure.

• Knowledge of scalable machine learning systems and real-time model deployment.

• Familiarity with data structures, data modeling, and software architecture.

• Experience with fraud detection techniques, including anomaly detection and graph-based analytics.

• A solid understanding of MLOps and CI/CD pipelines for ML models.

Why Join Us?

You’ll play a key role in shaping the future of digital gifting at a global scale — working with talented people, modern technology, and a culture that genuinely values openness, excellence, and impact. We Offer:

• Prezzeeversary Leave – Extra day of annual leave for each year you’re with us.

• BirthYay Leave – Celebrate you with a paid day off during your birthday month.

• Novated Car Leasing – A tax-smart way to bundle and pay for your car and running costs.

• ClassPass Membership – Fully covered monthly credits for fitness, wellness, and beauty.

• Office Allowance – One-time payment to upgrade your office setup.

• Flexible Work Perks – Flex your hours, take Culture Swap Days, and work from anywhere for 30 days a year.

• Prezzee Staff Discounts – Exclusive deals on Prezzee gift cards – just for being part of the team.

• Wellbeing Support – Access to mental, social, financial, and physical wellbeing support via Telus.

• Learning & Development – Grow your career with LinkedIn Learning, job shadowing, industry programs, and our Lunch & Learn sessions.

• Employee Resource Groups – Be an advocate or ally and foster belonging through groups like EmpowHer and Pride.

• Parental Leave – 12 weeks for primary carers and 4 weeks for secondary carers.

Prezzee has been recognised for the third consecutive year as a Computerworld Best Places to Work in IT, and as a Great Place to Work® 2026 across all three of our three regions. We value diversity, collaboration, and innovation in everything we do. Join a global team united by the core values: Give openness, Give greatness, Give magic, Give ingenuity, Give damn.

Prezzee is an Equal Opportunity employer. We believe that diversity is the key to building the best products for our customers, team culture and growing our global business. Our diversity mission is for our people to be their most authentic selves, to inspire, innovate and celebrate within a culture of belonging. We do not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

We are looking for people to help create human connections, make magic and shape the future of gifting so even if you don’t think you quite meet all of the skills listed or tick all the boxes, we’d still love to hear from you!

Please let us know if you require any adjustments as part of the application and recruitment process, We also encourage you to let us know of your pronouns at any point of the process.