Founder-led · technically screened
Plenty of people can train a model in a notebook; far fewer can ship one that holds up in production. We screen ML engineers for exactly that gap, so you meet people who can take models from prototype to reliable, monitored production systems.
Every candidate is technically assessed by us, people who have done the job, before you spend a minute interviewing.
Not sure which fits? Talk to us and we’ll recommend the right approach.
Base ranges benchmarked to our placement data at venture-backed startups and scale-ups; equity and bonus sit on top. Where a role shares the software-engineer ladder, the bands below are the reference we use. For the full picture, see our salary benchmarks.
| Level | London | Berlin | Amsterdam | New York |
|---|---|---|---|---|
| Senior Data / ML Engineer | £90k–£125k | €85k–€120k | €80k–€115k | $155k–$205k |
Salary data reviewed July 2026.
FAQ
We assess production ML judgement — serving, evaluation, monitoring, retraining — alongside solid software engineering, using a realistic task rather than a puzzle. Shipping and operating models matters more than notebook accuracy.
Yes, across the ML spectrum from applied ML engineers to research-leaning roles. We scope the brief with you so the screen matches what the role actually needs.
Contingent, embedded / RPO or retained search depending on seniority and scarcity. ML is a competitive market, so speed and a real network matter.
Tell us what you’re hiring for and we’ll come back with a plan, and usually a technically screened shortlist faster than you’d expect.