Specialisations

The AI roles we actually recruit for.

We do not cover every job in tech. We focus on the roles behind AI capability — AI Engineers, ML Engineers, MLOps specialists, Data Engineers, ML Platform Engineers and applied AI leaders. The value is not just sourcing. It is knowing which profile the client actually needs.

Our network includes AI, ML and data professionals from companies such as

Sportsbet
Centurion Logistics
Neon AI
Forever New Clothing
Adairs Retail Group
Traits Insights
Medibank
Alderson Digital
Crown Resorts
Macquarie Group
Common questions

What hiring managers ask about our focus

Why specialise only in AI, ML and data instead of all of tech?
Because the difference between an ML Engineer and a generic backend engineer is the difference between someone who has debugged a feature pipeline at 3am and someone who has not. Generalist recruiters miss that gap. We do not.
If you do not recruit for my role (e.g. frontend), can you refer us?
Yes. We know good recruiters across the broader engineering market. Tell us the role and we will point you at the right firm. No referral fee — we just want you well-served.
What if my role spans multiple specialisations?
Most senior AI roles are hybrid. We have placed plenty of cross-domain engineers and screen for both axes during the technical conversation. Tell us the brief — we will map the right candidates.
How do you keep specialisation knowledge current?
Daniel stays close to the engineers and hiring managers active in the Australian AI market. We attend community events, talk to candidates weekly and adjust our read of the market as the tools and titles shift.

Need a market read for a specific role ?

Send us the brief. We will tell you what the market is likely to look like, where the search may be hard, and what you may need to pay to compete.