Hire ML engineers
Senior ML engineers who build and deploy models plus the pipelines that keep them running, EU-based and ready to join your team.
ML engineers on the bench, ready to start this weekWhat an ML engineer brings to your team
An ML engineer builds and deploys machine learning models for prediction, classification and recommendation, plus the pipelines that keep them running.
Our ML engineers are senior by default and bring the MLOps discipline that stops a model from decaying silently once it is live.
- Senior by default: 5+ years of commercial experience and a reviewed work sample.
- You interview every hire; we place no one you have not signed off.
- Your process, your repo and your tools, followed from day one.
What our ML engineers build
The work our ML engineers ship, from day one.
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Predictive and classification models
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Training pipelines
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Model deployment and serving
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MLOps
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Evaluation
A simple process, measured in days
- 1 Step 01
Discovery call
The role, your stack and your working norms, in 30 minutes.
- 2 Step 02
Shortlist in days
Senior candidates with work samples and references.
- 3 Step 03
You interview
Every hire clears your bar before joining.
- 4 Step 04
Onboarding
Into your repo and tools, paired on the first sprint.
- 5 Step 05
Scale up or down
A 30-day rolling notice, no minimum term beyond the first month.
Senior engineers ready now, not in a quarter.
We keep vetted people available, so you get a shortlist in days and a start in weeks. A 30-day rolling notice, no long lock-in.
Frequently Asked Questions
How fast can an ML engineer start?
A shortlist in days, and a hire shipping within two to four weeks.
Do we interview the engineer?
Yes. We place no one you have not signed off.
What seniority do you place?
Senior by default: 5+ years of commercial experience and a reviewed work sample.
What is the commercial model?
A 30-day rolling agreement, a blended rate, and no exit penalty.
Can we scale the team later?
Yes, up or down with a 30-day notice. For a whole team we offer team augmentation; for individuals across roles, staff augmentation.
Add a senior ML engineer to your team
A 30-minute call to scope the role, the seniority and the start date. You interview every hire.