Skip to content
Esc
Internships in Canada
New-grad roles in Canada
Remote roles
Roles that show pay
Postings at high ghost risk
PayWhat student tech roles in Canada pay
Check a linkPaste a posting to see its real age and ghost risk
JobsEvery open tech role
CompaniesWho fills fastest, who leaves postings up
Hiring calendarWhen employers open intern and new-grad roles
Skills gapWhat postings ask for that you don't have
Your resumeScore and fixes
Your matchesOpen roles ranked by your resume
ApplicationsSaved, applied, interviewing, offers
SettingsTheme, text size, motion
How it works

↑ ↓ to move, Enter to open? every shortcut

Keyboard shortcuts

CtrlKor/
Search employers, postings and pages
JorK
Next or previous posting in a list
O
Open the posting's page
Enter
Open it in the preview, on wide screens
S
Save or unsave it
?
This list
Esc
Close
Luminance

Machine Learning Research Engineer

  • Seen live on Luminance's site yesterday
  • Mid level
Pay
Not stated
Location
Cambridge, England, United Kingdom
Open for
14+ days
First seen
Oct 21, 2026
Apply on Luminance's site (opens in a new tab)

Posting record

No flags

Open 14+ days

The posting's record, oldest first
  1. Luminance's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Luminance, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

This is a fantastic opportunity to join market-leading UK AI company, Luminance. Named in Tech Nation’s prestigious Future Fifty list and the recipient of two Queen’s Awards, Luminance is the world’s most advanced AI technology which is disrupting the legal profession.

Luminance is looking for dedicated and enthusiastic individuals with a strong academic background in Artificial Intelligence or a related field to join their R&D team based in Cambridge, UK. Successful candidates will be part of a small, dynamic team responsible for: prototyping, building and implementing new approaches to AI problems; and determining output quality, efficiency, and feasibility compared with other techniques in a data-driven manner.

This role is open to both graduates with a willingness to learn the desired skills, and more senior candidates with proven, prior experience in them.

If you are excited about this role but your skill or experience doesn’t perfectly align with the job description, we encourage you to apply anyway. At Luminance we are dedicated to building and promoting an inclusive workplace where everyone can flourish. You might just be who we’re looking for, for this role or another – enthusiasm is by far the most important requirement for any applicant to Luminance!

Desired Skills

  • Strong analytical skills and ability to approach tasks in a scientific manner
  • Data science skills, including handling of large data sets, modelling and evaluation
  • Good understanding of software engineering concepts, particularly with machine learning development
  • Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn
  • For more senior candidates:
  • Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning
  • Relevant industry experience with demonstrable impact in a commercial setting
  • Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.)

Requirements

  • Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably in a technical subject

Something wrong with this posting?