Core IT & Engineering

AI & ML engineer recruitment.

The market is full of people who have studied machine learning and thinner on people who have shipped it. Our screening is built to tell the difference.

Roles we recruit for.

Representative titles on this desk. Mandates are scoped to the work, not to the label.

Machine Learning Engineer
Applied AI / LLM engineering
Data Scientist · experimentation
MLOps · model serving · inference
Computer Vision · NLP specialists
AI engineering leadership
Why teams call us

The hiring problems this desk solves.

Certificates over shipped systems

Screens focus on what went to production, how it was evaluated and what happened when the model degraded.

Undefined role scope

Research, applied engineering and platform work look similar on paper. We help split the mandate before sourcing starts.

Small, competitive candidate pools

Senior recruiters map the market role by role instead of relying on inbound applications.

Questions

Frequently asked.

Do you recruit for LLM and generative AI roles?

Yes — applied LLM engineering, retrieval systems, evaluation and inference/serving roles, alongside classical ML and data science.

How do you assess AI candidates technically?

A structured rubric per mandate plus a recruiter-led technical probe. AI assists with the rubric and administration; a human signs off on every submission.

Tell us what you are hiring for.

Share the role, the level and the market. A senior recruiter will come back to you with a plan, not a template.