Western firms priced out of their home AI markets have turned to Central and Eastern Europe, and three countries anchor the region. Poland holds the largest tech pool in CEE at about 650,000 professionals, Romania adds roughly 212,000 ICT specialists and produced the global automation leader UiPath, and Czechia brings a small but deep and tightly held developer base. Together they offer AI and machine-learning talent at 20 to 50 percent below Western European pay.
This report treats the roles as the unit of analysis across the three markets. It profiles each designation, sets demand against supply, benchmarks pay in euros, names the employers hiring the most, and maps the top five talent cities in each country.
AI work splits into three layers: the engineers who build and ship models, the scientists who develop them, and the applied roles that turn them into products. In CEE the build and data-engineering roles are the deepest, while senior research talent is the scarcest and most contested.
Demand across the three markets is led by machine-learning engineers and data engineers, the roles that ship and feed models. Supply is strongest in Poland and around the Romanian university hubs, but senior research and GenAI talent is thin everywhere and commands Western-level pay even in CEE.
The region trains talent fast. Poland graduates about 74,000 ICT students a year and Romania and Czechia add dense university pipelines, but the maturing of that supply into senior engineers still lags the demand from nearshore centres.
Poland pays the highest AI base rates in the region, Czechia sits close behind, and Romania is lowest on base but has high-end contractor outliers. Even at the top, all three run well below Western Europe, which is the core of their nearshore case.
The table sets year-over-year demand and median base pay in euros for each designation across the three markets.
| Role | Demand, YoY | Poland (EUR) | Romania (EUR) | Czechia (EUR) |
|---|---|---|---|---|
| AI Solutions Architect | +20% | €78,000 | €62,000 | €62,000 |
| GenAI / LLM Engineer | +34% | €76,000 | €60,000 | €60,000 |
| ML Engineer | +40% | €75,000 | €60,000 | €58,000 |
| MLOps Engineer | +30% | €68,000 | €52,000 | €58,000 |
| AI Research Scientist | +22% | €70,000 | €55,000 | €56,000 |
| Data Engineer (ML) | +28% | €62,000 | €48,000 | €54,000 |
| Data Scientist | +18% | €62,000 | €48,000 | €52,000 |
| AI Product Manager | +15% | €65,000 | €52,000 | €55,000 |
Median base pay, mid-level, in euros. Poland highest, Czechia close, Romania lowest on base with high-end B2B contractor outliers. Demand is the Talenbrium year-over-year posting change. Source: Talenbrium posting intelligence and compensation model
The steepest demand comes from the global capability and shared-services centres that Western firms run in the region, followed by financial services and product software. Automotive R&D adds a distinct pull in all three countries as vehicles turn into software platforms.
The push runs toward the build and GenAI roles, where nearshore centres compete directly with Western employers for the same senior people.
The largest hirers are the global technology firms running engineering and capability centres in the region, led by Google, Microsoft, IBM and Amazon, with SAP and Oracle strong on enterprise AI. Regional champions matter too, above all UiPath in Romania, which competes for the same senior talent.
For a Western firm building a nearshore centre, this is the competitive frame. The hyperscalers set the pay ceiling in Warsaw, Kraków, Cluj and Prague, so a new entrant competes on the interest of the work and on speed to offer.
Talent is concentrated in a handful of cities in each country, and pay and competition rise with pool depth. These are the fifteen cities where an AI hire is realistic today.
Poland holds the largest tech pool in CEE at about 650,000, which gives the deepest AI hiring options and the widest city choice. Romania adds roughly 212,000 ICT specialists with a strong multilingual edge, while Czechia’s smaller developer base of about 130,000 sits in the tightest labour market in the region, with unemployment near 2.5 percent.
Depth shapes strategy. Poland suits scale hiring, Romania suits cost-efficient growth with language coverage, and Czechia suits smaller, high-value engineering teams where competition for each hire is fiercest.
Three forces drive CEE AI demand. Western firms nearshore to the region for cost and time-zone fit, which concentrates hiring on a few cities. The skill bar has risen toward GenAI and production machine learning, thinning the senior pool. And while the graduate pipeline is large and fast, it takes years to mature into the senior engineers employers most want. The result is deep entry-level supply and a tight, contested senior tier.
The report turns the role-level pattern into a CEE AI hiring and reskilling plan across Poland, Romania and Czechia.
Year-over-year demand and median pay for every AI role across Poland, Romania and Czechia.
Median and senior pay by role in euros for all three markets, including the contractor premium.
Full employer league table of who hires the most, by role and country.
The five leading talent cities per country, with pool depth, demand and salary.
Shortest reskilling routes into each role, with cost and duration.
Cost comparison of hiring, contracting and internal reskilling by role.
Projected demand and time-to-fill by role, from live pipeline data.
Every exhibit supplied as an Excel workbook.
The report is built on Talenbrium's four-layer data method: real-time job-posting intelligence, a proprietary skills taxonomy of more than 8,000 skills, employer hiring tracking, and a quarterly Workforce Pulse Survey, triangulated against external benchmarks. Role demand comes from posting analysis. Pay is drawn from posted and surveyed compensation and regional salary data, converted to euros, and is reported at median and at the 90th percentile. City figures draw on Talenbrium talent-hub analysis.
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