Description review

Metcor | AI Engineer | London, UK | onsite | £120k

Metcor · London, UK · back to the listing

HR standards

33/100

poor

Title ↔ description

63/100

needs work

Reads as

Machine Learning Engineer

97% confident

What this role officially is

data scientist — ESCO, the EU occupation classification

Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.

Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist

How others title the same work

Large employers

  • Applied AI Engineer Automattic
  • Machine Learning Engineer, CX Intelligence Coinbase
  • AI Engineer - FDE (Forward Deployed Engineer) Databricks
  • AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks
  • Senior AI Engineer – Notebooks Datadog

Startups

  • Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
  • Member of Technical Staff (applied) Anthrogen
  • Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
  • Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
  • Staff AI Engineer - Agent Architecture & Behavior Artisan

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

https://metcor.co.uk
You will re-shape how real engineering work gets done at the UK's leading facilities management company: how our jobs get scheduled, how we predict and prevent outages before they hit our clients. We are 600+ people serving thousands of client sites. Our competitors are watching AI happen. You will extend our lead.
You will be the second person in our AI team: what you build and how you build it becomes how Metcor does AI.
Your budget for AI tools is unlimited, as long as you can show the business outcomes.
Note: we are a "real" engineering company with depots and hi-vis vests and trucks (not that software engineering isn't real).
https://metcorgroup-my.sharepoint.com/:u:/g/personal/janosch_oppermann_metcor_co_uk/IQDd6W4TpePUTKYnMJ1lEz36AbDvJMLb0vWfs1HRGB-XtfM

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 16 points (from 49 before penalties). Reviewed 2 Oct 2026.