faculty
faculty2mo ago
New

Machine Learning Engineer

Londonfull-timemid
Machine Learning EngineerData
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Quick Summary

Overview

Why Faculty? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.

Technical Tools
awsazuredockergcpkubernetespythonpytorchscikit-learntensorflowmachine-learningpair-programmingsystem-design

About the Role

~1 min read
  1. Talent Team Screen (30 mins)

  2. Pair Programming Interview (90 mins)

  3. System Design Interview (90 mins)

  4. Commercial Interview (60 mins)

We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.

What We Offer

~1 min read
Unlimited Annual Leave Policy
Private healthcare and dental
Enhanced parental leave
Family-Friendly Flexibility & Flexible working
Sanctus Coaching
Hybrid Working

Location & Eligibility

Where is the job
London
Hybrid — some on-site time required
Who can apply
Same as job location

Listing Details

Posted
February 23, 2026
First seen
May 6, 2026
Last seen
May 8, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
16%
Scored at
May 6, 2026

Signal breakdown

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facultyMachine Learning Engineer