Hiring guide

What AI engineers are paid, by role and setup

Advertised ranges for research, applied and platform roles — and the things that move a number inside the band more than seniority does.

3 min read / Updated Aug 2026

There is no single rate

The most common mistake in budgeting an AI hire is treating "AI engineer" as one market. It is at least three, and they do not track each other. A number that looks generous for one is uncompetitive for another, which is how a role ends up open for two quarters with an approved budget nobody can spend.

AI Engineer

Applied work: building the product around existing models.

Look for

The broadest pool, and the one most adverts are actually aimed at.

Advertised
£30k–£108k
Roles

AI Research Scientist

Research-leaning: owning whether an approach works at all.

Look for

The smallest and most expensive pool of the three.

Advertised
£68k–£260k
Roles

MLOps Engineer

Platform: serving, cost, observability and the pipelines underneath.

Look for

Priced against platform and infrastructure engineering, not research.

Advertised
£77k–£118k
Roles

What the applied market looks like

The range below is the one most teams are budgeting against, because applied work is what most "AI engineer" adverts describe.

Ai Engineer · advertised range
£30k £108k
Midpoint
£42k
£0k £140k

Based on live Artificial Intelligence Jobs adverts for Ai Engineer roles across the UK. Salaries stated in the advert, not offers accepted.

Moves it most

Remote or office-anchored

Genuine remote widens the pool nationally; anchoring to one office narrows it and prices up.

Moves it most

Greenfield or inherited

Maintaining someone else's pipeline is priced as a premium, not a discount.

Moves it most

Someone senior to learn from

Worth more to candidates than most employers think — and it costs nothing.

Read it as what employers are asking the market to accept, not what candidates end up on. Advertised ranges are a negotiating position on both sides, and the top of a band is usually reserved for someone who needs no ramp-up at all.

What actually moves a number

Seniority labels move a figure less than most hiring managers expect, because they are not comparable between companies. These three are, and candidates price all of them:

  1. 1

    Where the work happens

    A genuinely remote role competes with every employer in the country and prices accordingly. A role requiring three days in one office is competing for whoever lives near it, and pays for the privilege.

  2. 2

    What state the work is in

    Greenfield attracts people cheaply. Inheriting an undocumented pipeline someone else left behind is a premium, because everyone experienced enough to do it has done it once and did not enjoy it.

  3. 3

    Who they will learn from

    The single most underpriced thing an employer can offer. A team with someone genuinely senior can hire below the top of the band; a team without one is asking a candidate to accept a career pause.

Note

If your budget is below the range, narrow the role before you raise the number. A well-scoped role at the middle of a band fills faster than a vague one at the top.

Specialisms price separately

The narrower titles are their own markets with their own rates — LLM Engineer, RAG Engineer, Computer Vision Engineer and NLP Engineer among them. If your problem is specifically one of those, budget against that role rather than the general one, and advertise by that name.

Check it against the live market

Every range on this site is drawn from what employers are advertising right now, so the quickest sanity check on a budget is the adverts themselves.

Ready to put the role in front of them?

Artificial Intelligence Jobs reaches people who came looking for AI work specifically, rather than a generalist crowd. Post in a few minutes, or talk to us if you are hiring more than one.