So you might ask, who's CreditorWatch?

Well, we are a leading Australian data and technology company that provides businesses with access to unique data and innovative products. By using our platform, our customers can confidently manage their commercial relationships, improve productivity and reduce financial risk.

As a commercial credit reporting bureau

We offer a complete suite of credit reporting products and data insights covering the entire customer lifecycle, from customer onboarding and credit decision automation to credit risk management and automated collections.

We were established in 2010

and most recently were named as one of AFR's Top 10 Best Places to Work as well as certified by Great Place to Work consecutively across .

We saw significant growth in 2025

and that's not about to change. We are on track to break records in 2026, scaling at pace, making this the perfect time to join CreditorWatch.

Our Purpose

✅ Empower Australian businesses to trade confidently with their customers.

Our Mission

We aim to be number one in our industry by delivering unique data insights and innovative products.

Your Role & Team

In this newly created role, we are looking for an experienced ML & AI Engineer to help us accelerate the deployment and operationalisation of predictive models at CreditorWatch.

As part of a ML and AI team within a rapidly growing Data function, you'll be building scalable ML and AI infrastructure, managing model and feature artefacts, and ensuring robust production workflows.

You'll work closely with data scientists and engineering teams to bring models from development to production, with a robust emphasis on reliability, governance, and performance. Our infrastructure is built on AWS, with a data and analytics platform on Databricks.

You will report directly to the Machine Learning Engineering Manager . Please note, it's a full-time opportunity offering hybrid working conditions out of our Sydney CBD Office .





We are also open to the successful candidate being Melbourne-based.

Some of your responsibilities include and are not limited to:

- Build and design production-grade ML systems and lifecycle management.
- Develop and maintain feature stores, model registries, and artefact tracking systems to support reproducibility and governance.
- Collaborate with data scientists to transition models from research to production, ensuring scalability and compliance.
- Build and maintain MCP servers, vector databases to design, support, and implement AI initiatives.
- Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a related field.
- 5+ years of experience in machine learning engineering, with a strong focus on production deployment and MLOps.
- Proven experience with ML platform tools such as MLflow, Sagemaker, Vertex AI, or similar, and cloud platforms (AWS, GCP, Azure) and integrated data platforms, Databricks, Snowflake).
- Deep understanding of AI/MLOps practices, including CI/CD pipelines, monitoring, and end-to-end model lifecycle management in production environments.
- Experience building MLOps in Databricks highly regarded.
- Strong experience in Python, SQL and/or other codebases.

More than just work

Keep Active - All employees get a Fitness First Platinum gym membership.

☕️ Daily Fuel - Barista-made coffee, breakfast, snacks, lunches and drinks on us - we got you!

Phone Credits - We pay you $50 per month to put towards your plans - how good.

❤️ Wellness Days - Receive an additional day off each month. Whether you're pursuing physical activities, cultivating your mental wellbeing or supporting your community... this is your time to switch off from work.

Monthly Massages - We offer monthly in-house massages to soothe those sore spots and tight knots. Poor posture? Stressful week? We get it.

Bonus Shares - We offer our dedicated employees' performance-based bonuses. Our employees are also permitted to gain access to our bespoke Employee Share Scheme, giving you the rare opportunity to invest in a growing technology company.

📌 ML & AI Engineer (City of Sydney)
🏢 CreditorWatch
📍 City of Sydney