Specialisation — ML

ML Engineers

ML Engineers who can move models into production. Production ownership matters, not just model experimentation.

The Role

What ML Engineers Do

ML Engineers sit between data science, software engineering and infrastructure. They design, train, evaluate, deploy and improve models that support real business workflows. The key distinction is production ownership — not just model experimentation.

Roles We Place
Machine Learning Engineer
AI Research Engineer
Applied ML Scientist
NLP Engineer
Computer Vision Engineer
Deep Learning Engineer
Technical Skills

Technologies We Screen For

We technically vet every ML candidate against these core skills.

Python PyTorch TensorFlow JAX Scikit-learn MLflow Weights & Biases Hugging Face Deep Learning NLP Computer Vision Reinforcement Learning Feature Engineering Model Evaluation A/B Testing
Market Insight

What the Market Looks Like

Demand for ML engineers in Australia has grown 3x since 2022, driven by enterprise AI adoption. Candidates with production deployment experience (not just notebooks) command premium salaries, and the best ones are rarely on job boards.

FAQ

Common Questions About Hiring ML Engineers

What's the difference between an AI Engineer and an ML Engineer?
ML Engineers focus on training and deploying traditional machine learning models (classification, regression, recommendation systems). AI Engineers typically work with foundation models, LLMs, and generative AI — building agents, RAG pipelines, and prompt-engineered systems. Both are critical, but the skill sets differ significantly.
How quickly can you fill an ML Engineer role?
For permanent placements, we typically deliver a vetted shortlist within 24–48 hours and complete the hire within 2–4 weeks. Our 6000+ network means we often have pre-vetted candidates ready before you even brief us.
Do you recruit for both research and applied ML roles?
Yes. We place candidates in both research-oriented roles (publishing papers, advancing SOTA) and production-focused roles (building ML systems that serve millions of users). We understand the difference and screen accordingly.
What salary range should I expect for ML Engineers in Melbourne?
Senior ML Engineers in Melbourne typically command $180K–$250K+ base salary, depending on experience, specialisation, and whether the role involves leadership. Contract rates range from $800–$1,200/day. We provide detailed salary benchmarks during our briefing call.

Ready to Hire ML Engineers ?

We have pre-vetted ML candidates ready to go. Brief us and get a shortlist in 24 hours.

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