The Python Salary Split

This week’s Snake Signals is a salary edition.

Python salaries are not moving in one clean direction. The market has split.

At the standard market level, UK and European salaries look fairly stable. In some places, salary growth is flat. In others, companies are still cautious on permanent headcount. But at the top end, especially AI startups, top VC-backed startups, product-led Series A companies, and high-bar engineering teams, compensation is moving much faster.

That creates a strange market.

One candidate can be told £80k is strong.

Another can be offered £100k base with 2 years of experience and 1% equity at a pre-seed startup.

A senior engineer might see £95k from one company, £130k from another, and £160k from a high-bar startup with US-style expectations.

This is why salary advice in 2026 needs context.

The question is not just:

“What is a Python developer worth?”

The better question is:

“What kind of Python developer, in which location, at which company stage, backed by what investors, solving what kind of problem?”

That is the real market.

Python hiring now splits into at least 5 different markets:

These markets behave very differently.

A standard senior Python backend role in the UK might sit around £80k to £115k.

A strong London startup senior might sit around £100k to £140k.

A top VC-backed AI startup might need to pay £120k to £170k+ for a senior engineer, and significantly more for lead, staff, or principal-level people.

That is why salary conversations can feel confusing.

People are often comparing different markets as if they are the same.

They are not.

This year I placed a candidate with 2 years of experience at:

That is not a normal mid-level benchmark. It is a high-conviction, early-stage, top-end startup outcome.

I have also placed multiple senior to staff-level engineers in the UK at:

That feels like the real high-quality UK Python startup market right now: not inflated fantasy numbers, but clearly above old-school UK salary expectations.

The biggest difference is the bar.

Companies paying these numbers usually want at least one of:

In other words, they are not just paying for Python experience.

They are paying for speed, judgement, and leverage.

These are the rough salary ranges I would currently use for Python, backend, and AI-adjacent software engineers in the UK.

The important caveat: these are practical recruitment ranges, not neat government-style averages.

A normal SaaS company hiring a senior Python engineer in the UK might be competitive at £90k to £120k.

A London AI startup backed by top investors and looking for the top 5% of engineers may struggle at that range.

That is the gap.

The old assumption was simple:

Early stage pays less cash and more equity.

Later stage pays more cash and less meaningful equity.

That is still broadly true at the median.

But top VC-backed early-stage startups are distorting the market.

If a pre-seed, seed, or Series A company is backed by serious investors, has founder-market credibility, strong customer pull, and is chasing a small pool of elite engineers, it cannot just say:

“We are early stage, so we pay less.”

That might work for some mission-driven candidates.

It will not consistently work when the same candidates are seeing:

So the strongest early-stage startups are increasingly paying high cash and meaningful equity.

That is how you get a 2-year engineer on £100k base plus 1% equity.

Not normal.

But absolutely happening.

A practical guide:

The key point: top VC-backed early-stage startups can sometimes look more like US-style compensation than traditional UK startup compensation.

That is the part many candidates and hiring managers are missing.

Europe is still heavily location-dependent.

A rough practical guide for senior software engineers:

The European story is mostly this:

London, Amsterdam, and Dublin remain stronger cash markets.

Berlin is solid, but candidates often need the right company type to break higher bands.

Paris, Spain, and parts of wider Europe can look lower on average, but specialist AI, fintech, infrastructure, or US-backed roles can still pay well above local norms.

The US is a different game entirely.

For senior and staff engineers in the main tech hubs, base salary alone can be higher than total compensation in many European markets.

A practical startup-focused guide:

For top AI startups, these ranges can stretch higher, especially when sign-on bonuses, equity, and competing offers are involved.

This is why a New York seed-stage AI startup offering $200k to $350k base for Senior and Staff engineers is not crazy in the current market.

Expensive? Yes.

Detached from reality? Not for the top end of the market.

Remote salary data is messy.

There are two very different remote markets.

This can still pay very well.

US remote senior startup roles can sit around $185k to $260k base, and staff roles can sit around $255k to $345k base.

For strong US candidates, remote does not always mean a huge pay cut, especially at remote-first companies or well-funded startups competing nationally.

This is often lower.

Why?

Because companies can widen the candidate pool and benchmark against a broader market.

A UK fully remote role may pay less than a London hybrid role.

A European remote role may benchmark against country, not London, SF, or NYC.

That matches what I am seeing too: remote salaries can look lower unless the company is competing for genuinely scarce, top-end talent.

The key is whether the company is paying for:

Remote by itself does not determine salary.

The company’s compensation philosophy does.

Top VC-backed startups tend to pay higher when they have 4 things:

If the role requires someone exceptional, the company cannot benchmark against the median.

They are not competing against average Python developer salary.

They are competing against:

This is where clients often get it wrong.

They think:

“Market rate for senior Python is £100k.”

But the real question is:

“Market rate for which senior Python engineer?”

A solid senior engineer in a normal UK SaaS company is one market.

A top-percentile product engineer for an AI startup backed by tier-one investors is another market entirely.

Treating them as the same market is how companies lose candidates and then call it a talent shortage.

Do not benchmark yourself only by years of experience.

Years of experience matter, but they are not the whole story.

Your salary range moves up if you have:

A 3-year engineer with elite output can earn more than a 10-year engineer with average impact.

Unfair? Sometimes.

Real? Completely.

If you are interviewing, ask these questions early:

The biggest mistake is negotiating without knowing the level.

A £130k offer can be strong for one level and weak for another.

A $250k base can be excellent in one context and simply competitive in another.

Context matters.

If you are hiring Python engineers, do not build a range around the candidate you wish existed.

Build it around the candidate you actually want.

If you want a solid senior engineer, average salary data can help.

If you want an exceptional engineer, average salary data can mislead you.

A simple compensation checklist:

Salary confusion kills processes.

So does pretending equity is meaningful without explaining the strike price, latest valuation, vesting schedule, and likely dilution.

Equity is not magic beans. Some decks do try very hard to make it sound like it is.

A New York-based AI startup is hiring 9 Senior and Staff-level engineers.

They are seed-stage, have raised $9m, and expect to raise their Series A in the next couple of months. Revenue has grown 30x in the last 9 months, and they are now scaling the engineering team aggressively.

This is a high-bar environment led by a deeply technical team, including a CTO who is an ICPC World Finalist.

Strong signals could include:

This is a strong opportunity for engineers who want serious compensation, real ownership, relocation to New York, and the chance to join a fast-growing AI startup before the next funding round.

The Python salary market in 2026 is not one market.

It is a split market.

Average companies are paying average salaries.

Strong companies are paying strong salaries.

Top VC-backed AI startups are sometimes paying numbers that look completely detached from old UK and European benchmarks.

For candidates, the lesson is to understand which market you are actually in.

For hiring managers, the lesson is even simpler: if you want top-percentile engineers, do not benchmark against the median and then act surprised when they disappear.

Open question for debate: are Python salaries becoming more unequal because AI and top VC-backed startups are pulling the best engineers into a completely separate market?

Hiring? Contact
Josh Smith
Email: [email protected]
Phone: 01727 225 552