UK engineering hire
Hire ML platform engineers in the UK — 8-day shortlist, IR35-safe.
ML platform engineers are the scarcest AI infra profile on the London market in 2026 — senior supply is about 5:1 short of open roles. We bring pre-validated CEE platform engineers into UK working hours at 40–48% lower total comp than London-local staff hires, with IR35, UK GDPR, and FCA operational-resilience posture handled.
IR35 safe
Off-payroll working rules don't bite for genuine B2B CEE contractors.
Every engineer we shortlist operates their own registered business in Poland, Ukraine, Romania, or elsewhere in CEE — multiple clients, their own tools, their own hours. HMRC treats this as outside IR35 by default. For inside-IR35 cases we arrange an Employer-of-Record (Remote, Deel, Oyster) in the engineer's home country so your UK entity has zero payroll exposure.
UK GDPR & EU AI Act compliant
Human-in-the-loop by design, not as an afterthought.
Every shortlist is reviewed and signed off by a human recruiter before reaching you. We sign a DPA with every engagement, store candidate data in EU regions by default, notify candidates up-front that AI is used, retain logs for 5 years, and run quarterly bias audits. The EU AI Act postponement to 2027 doesn't change our posture — we built to the standard, not to the deadline.
22% → 15% agency fee
Typical UK saving: £58–92K in year one on a single senior ML platform engineer, recurring thereafter.
London senior ML platform engineer market-median base is £140–175K (Hays UK Tech Salary Guide 2026, cross-referenced with Otta / Levels.fyi London data pulled 2026-04). Fully loaded with NI, pension, equipment, and the on-call uplift that is standard for infra roles, a London staff ML platform engineer costs £165–205K/yr to the employer. A classical UK contingency agency charges 22% on placement — £30.8–38.5K paid once per hire. Recruo charges a flat 15% success fee, and the CEE equivalent senior lands at £78–105K total-comp-equivalent. The fee delta alone (22% → 15%) saves roughly £12K on first-year placement; the total-comp delta compounds every year of the engagement.
| Seniority | UK local salary | Recruo total comp | Recruo 15% fee | Classical 22% fee | Saving |
|---|---|---|---|---|---|
| Mid (3–5y, MLOps/infra) | £95–120K | £55–72K | £8.3–10.8K | £20.9–26.4K | £12–16K |
| Senior (5–8y, production ML infra) | £140–175K | £78–105K | £11.7–15.8K | £30.8–38.5K | £19–23K |
| Staff / Principal (8y+, platform owner) | £180–215K | £108–138K | £16.2–20.7K | £39.6–47.3K | £23–27K |
Worked example
What a placement actually costs
Worked example, senior ML platform engineer into a PRA-regulated London insurer (placed 2026-Q1). Target role: staff-level ML platform engineer owning Kubeflow, Feast feature store, and SageMaker-to-self-hosted migration. UK-local equivalent would have been £162K base + 18% loaded overhead (NI, pension, on-call, equipment) = £191K/yr. Actual placement: CEE senior platform engineer at €98K/yr on B2B contract (≈£84K). Recruo fee: 15% of £84K base = £12.6K one-time. Classical UK agency alternative fee: 22% of £162K UK-local = £35.6K. Year-1 total delta to the client: (£191K + £35.6K) − (£84K + £12.6K) = £130K. From year 2 onwards the gap compresses to roughly £107K/yr once the one-time fee falls off.
UK-specific hiring context
Why ML platform is the hardest UK AI-infra hire in 2026
ML platform engineering is the pointed end of the UK AI talent shortage. Two shortages compound: infrastructure-specialist engineers were already scarce in the UK market before 2024, and the sub-population who have run production ML infra at scale — Kubernetes-native training orchestration, feature stores, online/offline parity, GPU scheduling, model serving at P99 latency, on-call maturity — is a small fraction of that. LinkedIn Talent Insights puts open London ML-platform roles at roughly 2,400 at end of Q1 2026 against a senior local supply of around 480, a 5:1 structural gap that is materially tighter than the 4:1 seen on LLM-engineer roles. Domestic pipeline does not close it — UK universities produce well under a hundred graduates per year who have touched anything resembling production MLOps, and most are immediately hoovered up by DeepMind, the ex-OpenAI London cluster, and the larger US hyperscalers.
UK demand sits disproportionately in regulated verticals. Revolut, Monzo, and Starling are all running internal ML platform teams; JPMorgan London, Schroders, and the larger insurers are hiring platform engineers into risk, surveillance, and claims-ML teams; Darktrace and Wise need platform engineers to keep training pipelines compliant with UK GDPR data-residency; the BBC and Sky have in-house recommendation platforms; GDS and the NHS-Digital programme now ship ML-backed services in production. Each of these seats requires an engineer who understands UK operational-resilience rules — FCA SYSC 15A, PRA SS1/21, and in financial services the Critical Third Party designation that is live since 2025. CEE engineers with prior exposure to EU DORA (which UK regulators have substantially aligned to) transfer cleanly; our screening confirms it before shortlist.
Brexit narrowed the EU-local full-hire pool, and IR35 changes from April 2021 reshaped how platform engineering specifically gets engaged. IR35 worries London CTOs more than any other compliance topic because platform engineers often embed tightly with in-house teams, which superficially looks like inside-IR35 risk. In practice our genuine B2B CEE contractors pass HMRC's outside-IR35 canonical tests on every axis — substitution right, working-pattern control, own registered business, multiple clients across a year, own equipment — and the contract runs from your UK entity to their overseas sole-proprietorship, not your payroll. For inside-IR35 edge cases, or FCA-regulated clients who want a single-payroll record for SYSC evidencing, we default to Employer-of-Record in the engineer's home country. Our UK recruitment agency parent walks through both models in more depth.
Time-to-hire
Recruo: 8 business days median to shortlist
UK market median: 84 days to hire (London senior ML platform / MLOps roles)
Source: Recruo internal (n=7 ML-platform shortlists, 2025-Q3–2026-Q1; ML platform is our slowest vertical to source); Hays UK Tech Salary Guide 2026 and LinkedIn Talent Insights London (accessed 2026-04-14)
Visa & work-authorisation patterns
- • Polish, Romanian, Czech, Slovak, Bulgarian, and Hungarian platform engineers: B2B contractor model with no UK visa needed — our default path for outside-IR35 engagements.
- • Ukrainian platform engineers: Homes for Ukraine scheme (extended through 2027) for UK-relocating hires, or B2B from Ukraine/Poland with Starlink-backed redundancy for on-call readiness.
- • Full-time UK employment via Employer-of-Record (Remote, Deel, Oyster) at 11–15% overhead — we recommend this for FCA-regulated clients who want the engineer on a single payroll for SYSC-evidence purposes.
- • Skilled Worker visa route: adds 8–12 weeks and ~£5K legal per hire; we only recommend it for Head-of-Platform or principal-architect seats where retention duration justifies the friction.
Seniority mix
Our UK ML-platform placements in 2025–2026 are staff-heavy: 11% mid (3–5y), 48% senior (5–8y), 41% staff/principal (8y+). This reflects real demand — UK clients almost never ask for a mid-level platform hire; they want someone who has owned the pager before. Regional UK scale-ups (Manchester, Edinburgh, Bristol) are the only pockets where mid-level platform requests show up.
Remote setup
100% remote-first, with 4–6 onsite days per quarter common for FCA-regulated clients. UK working hours (9am–6pm BST/GMT). CEE candidates sit at UTC+1/+2 — 7–8 hours of working overlap per day, which matters more here than on any other role because on-call rotations are the default. We verify redundant home-office power (UPS + Starlink for Ukraine-based engineers) and a working secondary internet path before shortlisting any platform candidate, because a platform engineer going dark during a prod incident is the single most common reason UK clients churn off contractor models.
Reviewed by

CTO & Co-founder
Nikita ran ML platform at Neurons Lab and has delivered ML infra hires into UK enterprise clients (London financial services, a Bristol scale-up, and a PRA-regulated insurer) through Recruo in 2025–2026. Every UK ML-platform-engineer shortlist is reviewed by him before delivery — specifically for Kubernetes + feature-store depth, on-call maturity, and UK regulatory posture (FCA SYSC 15A, PRA SS1/21, UK GDPR).
FAQ
Frequently asked questions
Also on Recruo
Roles we hire for
Hire by location
Further reading
Hire in the UK