AI and machine learning engineers earn more than general software engineers in Europe, but the size of that gap depends heavily on which country is being measured. Stack Overflow’s 2025 developer survey put the UK premium at roughly 37% over a back-end developer, and the global premium at about 12%, while the same survey found almost no gap at all in France. A move from general software engineering into AI is a real raise in some markets and close to a lateral move in others.
That range matters more than a single headline number, because most guidance on this question quotes one country’s figure as if it applied everywhere. What follows breaks the comparison down by market, using the same survey across all of them, so the differences come from the data rather than from switching sources.
Do AI engineers earn more than software engineers in Europe?
AI and machine learning engineers earn more than general software engineers in the UK specifically, and the margin is large enough to change a career decision. Stack Overflow’s 2025 developer survey found a UK median of 149,756 US dollars for AI/ML engineers, against 108,913 for back-end developers, a gap of roughly 37%.
The AI/ML engineer figure sits above every general developer role in the UK table, including DevOps at 106,190 dollars and full-stack development at 85,429. Data scientist comes in lowest of the group at 73,516 dollars, a reminder that “AI job” is not one salary band but several, and the engineering title carries more of the premium than the research-flavoured one does.
AI engineer vs software engineer pay across Europe, at a glance
| Market | AI/ML engineer, median USD | Back-end developer, median USD | Gap |
|---|---|---|---|
| UK | 149,756 | 108,913 | AI/ML engineer earns about 37% more |
| Global | 89,427 | 79,742 | AI/ML engineer earns about 12% more |
| France | 73,089 | 71,929 | Roughly the same, about 2% |
Why does the AI engineering pay gap nearly disappear in France?
The AI engineering pay gap nearly disappears in France because the market for the title itself is smaller and less mature there than in the UK, so it prices closer to general software engineering rather than as a distinct premium tier. Stack Overflow’s French figures put AI/ML engineers at 73,089 dollars, just above back-end developers at 71,929, and below several general engineering roles including software architect and engineering manager.
PwC’s 2026 Global AI Jobs Barometer found the AI skills wage premium varies from as high as 118% in consumer markets to just 16% in government and the public sector, which is the same underlying pattern at a different scale. A premium tracks how much an employer has to compete for a specific, scarce skill. The UK has a larger, more established AI hiring market than France does, so the competition for AI engineering talent there is sharper, and the pay gap follows.
Does the pay gap hold at every skill level, or only for specialists?
The pay gap holds most clearly for specialists and compounds with the number of AI skills a candidate can demonstrate, rather than kicking in at a single threshold. Lightcast’s Beyond the Buzz analysis of 1.3 billion job postings found a 28% salary premium for postings requiring at least one AI skill, rising to 43% for postings requiring two or more.
That is a broader measure than the role-to-role comparison above. It looks at any job asking for AI skills, not only roles titled AI or ML engineer, and it is worth keeping the two apart. A back-end developer who picks up applied AI skills captures some of that broader premium without changing job title, while the larger UK gap in the chart above reflects the market rate for the specialist title itself. Both point the same direction: depth in AI, whether it shows up as a title or a skill on a general role, is what gets paid for.
Is the AI engineer title itself becoming more common, or just better paid?
The AI engineer title is becoming both more common and better paid at the same time, rather than staying rare while its pay rises. In our analysis of 500+ live AI roles from 188 companies hiring across Europe, 6% of listings use “AI engineer” or “machine learning engineer” specifically in the title, out of 678 roles analysed. That is a meaningful slice of a board that spans dozens of distinct job titles, not a handful of outlier postings.
Indeed Hiring Lab found that around 7.5% of UK job postings carried an AI mention by the end of February 2026, a figure 127% above its pre-pandemic baseline, concentrated in data, analytics and software development. A title that is spreading and a premium that is holding up tend to travel together while the underlying skill stays scarce relative to how fast demand for it is growing.
Should a software engineer switch into AI engineering for the pay?
A software engineer should treat a switch into AI engineering as a pay decision worth making in the UK and in similarly mature AI hiring markets, and as a much closer call in a market like France where the current data shows almost no premium at all. The honest read of the numbers above is that the AI engineering premium is real, but it is a UK and global-market story more than a universal European one, and roughly half the roles behind the “across Europe” figures on any board sit in the UK specifically.
For a back-end or full-stack engineer weighing the move, the practical path is the one already covered in the skills data: add one or two applied AI skills, such as retrieval or agent orchestration, to an existing engineering background rather than starting over. That captures a share of the premium immediately, and it is the same route most listings describe when they ask for AI engineering experience without asking for a research background.
Compare live pay-relevant openings in remote AI engineer jobs and remote machine learning jobs, narrow by market with remote AI jobs in the UK, or look at the research-flavoured end of the spread in remote data science and AI research jobs.