↗MLabsTALENT PARTNERSLet’s talk hiring ↗
SPECIALIST TECHNICAL RECRUITMENT

Big ambitions.
Exceptional
people.

Build the team behind your next breakthrough.
Specialist recruitment for AI, blockchain and advanced engineering—with technical depth at every step.

Built for technical founders.
Designed around your hiring bar.
↗
THE RIGHT PEOPLE. THE NEXT POSSIBILITY.
Human judgement.
Technical precision.
ML / TP
SPECIALISTS, BY DESIGN

AI & machine learning

✳

Blockchain & Rust

✳

Platform & infrastructure

01 / OUR EXPERTISE

Deep tech.
Deeper understanding.

Your next hire needs more than the right keywords.
We understand the work behind the role.

02 / THE MLABS APPROACH

A CV tells a story.
We look for the evidence.

Technical depth. Systems thinking. Production experience. We screen for the things that matter before a candidate reaches your interview.

01Define the workAlign on outcomes, seniority and the evidence of a strong hire.
02Find the right peopleMap relevant technical communities and approach candidates directly.
03Make the signal clearReview role-relevant assessment evidence and focus your interviews.
Explore the interview scorecard ↗
CURRICULUM VITAE ILLUSTRATIVE · FICTIONAL

Alex Morgan

SENIOR MACHINE LEARNING ENGINEER
London, UK · alex.morgan@example.com

PROFILE

Machine learning engineer focused on taking models from experiment to production. Experience across evaluation, data pipelines and dependable model-serving systems.

EXPERIENCE

Senior ML Engineer2022 — Present
Example AI Company · London
  • Designed evaluation workflows for a document-search product.
  • Worked with platform engineers on model deployment and monitoring.
  • Led design reviews covering latency, reliability and operational trade-offs.
Machine Learning Engineer2019 — 2022
Example Technology Studio · Remote
  • Built and maintained data pipelines for model development.
  • Collaborated with product teams to turn experiments into working features.

TECHNICAL SKILLS

Python · PyTorch · SQL · Model evaluation
ML pipelines · Inference systems · Docker

EDUCATION

MSc Computer Science2019

Example University

SAMPLE PROFILE — NOT A REAL CANDIDATE 01 / 01
MLABS / SCREENING NOTE↗
The evidence behind the CV.

Explore production decisions, systems thinking and individual ownership.

Role-relevant evidence. Clear next questions.
03 / THE HIRING NOTEBOOK

Better thinking.
Better hiring.

Practical advice for the people building technical teams.

Explore all insights ↗
BEFORE WE TALK

A few good questions.

Which roles do you recruit for?

Our focus is AI and ML, blockchain and Rust, and advanced platform, data, security and backend engineering. Explore the specialism pages for examples.

How do you assess technical candidates?

We align the assessment with your role and review technical depth, systems thinking and relevant experience. The CV and screening note above illustrate the approach; the candidate details are fictional.

Can we discuss a role that is still taking shape?

Yes. Bring the problem your team needs to solve, your current team structure and any constraints. The role brief is a useful starting point even before you have a job description.

I’m looking for a role. Where should I go?

Explore current opportunities on our jobs board ↗

YOUR NEXT CHAPTER

Great teams don’t
happen by chance.

Tell us what you’re building. Let’s find the people to build it.

Discuss your next hire ↗