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Machine learning engineers are the people who take models out of notebooks and put them into production. If data scientists ask “what can we predict?”, ML engineers answer “how do we make that prediction reliable, fast, and maintainable?”

According to CSIRO’s National AI Centre, 68% of Australian companies have now integrated AI into at least one business function. Government investment is growing, enterprise spending is up, and the business case for AI has never been more widely understood.

Every AI initiative starts with data. Before your data scientists can build models or your ML engineers can deploy them, someone has to design the pipelines, build the infrastructure, and make sure clean, reliable data flows where it needs to go. That someone is a data engineer — and they’re one of the most in-demand technical roles in Australia right now.

“How much does a fractional CTO cost?” is the first question most employers ask — and the honest answer is that it depends.

A great retail brand has always relied on a mix of product, price, experience and storytelling. But if AI agents start playing a bigger role in how consumers search, compare and buy, retailers may need to rethink more than just their marketing.

If you read or heard anything about Nvidia’s CEO Jensen Huang today, you probably saw the quote that’s now everywhere in the talent world: “You’re not going to lose your job to AI—but you’re going to lose your job to someone who uses AI.”