Lead AI/ML Engineer

6 days ago

Sydney, New South Wales, Australia UCentric Full time

The Company:

Our client is transforming how an entire industry thinks about data, decisions, and customer experience, and they're doing it with purpose. This is the kind of place where applied AI isn't an experiment, it's core to the business strategy.

This organisation is considered to be a key local success story of a leading cloud provider, they're setting the pace for what intelligent automation should look like in Australian enterprise.

We're hiring a Lead AI/ML Engineer to help steer that momentum

You'll be embedded in a high-calibre team that's building AI copilots, real-time decision engines, and automated tools that touch thousands of Australian customers as well as empower internal stakeholders.

This is your chance to move beyond experimentation and into true production impact.

What you'll be leading:

  • End-to-end ownership of AI-powered features and full-stack solutions, from prototype to production.
  • Building and scaling ML models that work with structured and unstructured data: think text, speech, and video.
  • Integrating LLMs and intelligent agents into customer-facing and operational workflows.
  • Designing pipelines and automation frameworks that support rapid iteration and delivery.
  • Mentoring engineers and data scientists while collaborating cross-functionally with product, engineering, and executive stakeholders.

What you bring:

  • Proven experience delivering AI/ML solutions in real-world environments: ideally across high-volume or regulated settings (this is non-negotiable).
  • Advanced skills in Python, SQL, and full stack development (React, TypeScript).
  • Hands-on expertise with LLMs, AI agents, or generative AI in production contexts.
  • Strong familiarity with cloud environments (AWS or GCP) and modern CI/CD practices.
  • Demonstrated leadership of small teams or squads, whether mentoring engineers, overseeing delivery pods, or stepping into a tech lead role.
  • A builder's mindset: proactive, product-focused, and comfortable making decisions in ambiguity.

Why this role?

  • You'll be part of a forward-thinking organisation with serious investment in AI and executive buy-in.
  • You'll have a seat at the table, influencing how AI shapes core products and services.
  • You'll join a cross-disciplinary team where data, engineering, and product share equal footing.
  • And you'll do it in a company that's using AI to solve real problems, not just chase headlines.

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