Salary guide · 2026
Computer Vision Engineer salary guide
Benchmark computer vision engineer pay across the UK, Germany and the US. Updated from live Haystack market data.
- UK£80k–£115k
- Germany€85k–€120k
- United States$150k–$215k
Mid-level base salary
Salary benchmark
Pay across the band - at a glance
Base benchmarks across the UK, Germany and US. Drill into a country below for localised ranges.
GBP · base salary
Junior
£55k–£75k
Mid
£80k–£115k
Senior
£120k–£170k
EUR · base salary
Junior
€60k–€80k
Mid
€85k–€120k
Senior
€125k–€180k
USD · base salary
Junior
$100k–$140k
Mid
$150k–$215k
Senior
$220k–$315k
Side-by-side
Computer Vision Engineer salary by country
Base salary in local currency. US runs materially higher, especially in the Bay Area and NYC, where TC > base.
| Metric | United Kingdom | Germany | United States |
|---|---|---|---|
| Junior (0–3 yrs) | £55k–£75k | €60k–€80k | $100k–$140k |
| Mid (3–6 yrs) | £80k–£115k | €85k–€120k | $150k–$215k |
| Senior (6+ yrs) | £120k–£170k | €125k–€180k | $220k–$315k |
| Typical notice | 1–2 months | 3 months | 2 weeks |
| Cities live | 8 | 8 | 8 |
10–20%
Specialist skill premium
Candidates with specialist skills like PyTorch, OpenCV, ONNX, TensorRT reliably command 10–20% above generalists at the same seniority - and offers close faster.
Where the talent lives
Computer Vision Engineer pay by city
Hotter colours mean higher local pay vs the country average. Click any city for a localised benchmark.
UK
8 cities · GBPDE
8 cities · EURSalary context
The computer vision engineer hiring playbook
Computer Vision Engineer specialist or generalist - which should you hire?
The honest answer depends on the half-life of your computer vision engineer surface area. If you expect to keep investing in PyTorch and OpenCV work over the next 18-24 months, a specialist computer vision engineer will out-deliver a generalist on day-30 throughput and stakeholder confidence.
If your team is under ten people, or computer vision engineer responsibilities are spread across two or three roles already, hire a strong generalist who has shipped this work in anger at least twice. The cross-disciplinary pattern recognition will pay for itself the first time priorities collide.
On Haystack we surface both - filtered by whether the candidate self-identifies as a computer vision engineer specialist and verified against their last two roles. Expect to pay around £82k–£115k for a mid-level UK hire, scaling toward £120k–£170k for senior.
What strong computer vision engineers actually bring
A great computer vision engineer is not the one with the longest CV - it is the one who has owned a hard PyTorch call and changed how they work because of how it landed. Across the engineering hires we have placed in 2025-2026, the same patterns keep showing up.
- Computer Vision Engineers who pair PyTorch depth with cross-functional fluency - they bring product, design and data into their decisions, not just engineering.
- A written 30/60/90 plan in week one, anchored to OpenCV delivery milestones rather than ramp-up vanity metrics.
- An opinion on what NOT to do with PyTorch, backed by an example where adding it would have hurt the team.
- Documented trade-off notes on the calls they made, including the option they rejected and why.
Red flags when interviewing computer vision engineers
Every discipline has its own pattern of plausible-sounding answers that fall apart in production. For computer vision engineers, these are the patterns that most often correlate with a six-month regret hire on the employer side.
- Treats the computer vision engineer role as a job title rather than a problem to solve - no opinion on what they would change about how the discipline is typically practised.
- Only ever worked on greenfield computer vision engineer projects - inheriting a messy, half-built system is a different muscle.
- Blames previous teams for failed PyTorch work without explaining what they personally shipped to mitigate it.
- Cannot name a single computer vision engineer project where they removed scope rather than added it.
What to expect in the first 30 days from a Haystack computer vision engineer hire
By week one, the new computer vision engineer should have shipped a small, low-risk artefact to production or a stakeholder - a docs fix, a small process change, a first review on someone else's work. The goal is to validate the loop, not to ship anything heroic.
By week two, the computer vision engineer is shadowing the active workstreams, attending standups in observe-mode, and asking pointed questions about why specific decisions were made. If they are not asking those questions, the hire is going to plateau.
By day 30, they own one cleanly-scoped slice of the computer vision engineer surface area, have published a public ramp-up doc, and are the named point of contact for stakeholders inside that slice. Every Haystack employer gets a structured onboarding template, so you are not reinventing the playbook each hire.
Keep exploring
Drill in further
Per-country guides and other tools for hiring this role.
Country guides
Context
What drives computer vision engineer pay?
Computer vision engineers ship the models behind autonomous systems, medical imaging, robotics and AR - where the model has to work, not just look good in a paper.
Pay varies primarily with seniority, location, and sector. The UK and Germany cluster within ~10% of each other on base salary; the US runs materially higher - particularly in the Bay Area and New York, where total compensation (base, bonus, equity) is the more meaningful benchmark.
Hiring a computer vision engineer?
Get matched with vetted, interview-ready candidates and skip the cold sourcing.