Top AI Engineer Staffing Companies

Data Science UA

Recruiters who work only on AI and data roles

Founded 2016 | Kyiv, Ukraine (legal HQ London) | 50–200 employees
ml-engineersdata-engineeringcomputer-visiondirect-hirededicated-teamseastern-europe-talent

What is Data Science UA?

Data Science UA began in 2016 as a data science conference in Kyiv, founded by Aleksandra Boguslavskaya, and grew into a recruiting, outstaffing and AI consulting business. Recruiting is a core line, and it says hiring averages two to four weeks. Its community of AI engineers in Ukraine and beyond, quoted at 10,000 to 30,000 depending on the source, gives it reach that general agencies lack. The screening is recruiter-led, though, so the technical depth of each shortlist depends on how well you brief them and on your own interviews.

Data Science UA works primarily with clients in Technology, Fintech, Healthcare, Retail, Gaming sectors. Its primary differentiator is: A large AI community and conference series that feeds its recruiting.

Data Science UA tech stack and services

PythonPyTorchTensorFlowOpenCVAWSGoogle Cloud
Service area
ML Engineers
Data Engineers
Computer Vision Engineers
Direct Hire Option
Dedicated Teams
Eastern Europe Talent

Data Science UA pricing

Short answer: Data Science UA uses a recruiting fee per hire; outstaffing billed monthly; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.

Engagement model Typical range Best for
Direct hire Variable; depends on team size Large programmes or team augmentation
Dedicated engineer Variable; depends on team size Large programmes or team augmentation
Dedicated team Variable; depends on team size Large programmes or team augmentation
Data Science UA does not publish a public rate card. Contact them directly via their website to get project-specific pricing.

Data Science UA pros and cons

Advantages Things to consider
+Recruiters specialise in AI and data, so briefs are understood -Screening is done by recruiters, not engineers
+Direct hire and outstaffing both available -Size and headquarters differ across directories
+Wide reach in the Ukrainian AI community -Wartime conditions need a continuity plan

Data Science UA vs alternatives

How Data Science UA compares to the other top AI Engineer Staffing companies.

Company Best for Key difference Rating Compare
Tensorway CTOs who want an engineer, not a recruiter,... Senior AI engineers run a code review and a specialization-specific task on every candidate 4.8 Full comparison
deepsense.ai Teams that need a senior ML researcher who... A research-heavy bench of about 120 employed AI specialists with ten years of production work 4.6 Full comparison
Toptal Engineering leads who need one senior freelance ML... Multi-stage screening that ends with interviews by senior engineers and a test project 4.5 Full comparison
Proxify European companies that want a vetted ML or... Senior-engineer interviews with live coding after an automated skills test 4.4 Full comparison
InData Labs Product teams that need a computer-vision or NLP... Ten years of computer-vision and NLP delivery in an AI-only company 4.4 Full comparison
Quantiphi Enterprises that need many AI roles filled at... The biggest AI-only bench here, sold through a named staffing program with AWS 4.3 Full comparison
Neurons Lab Banks and insurers that need agent or LLM... A 500-engineer network managed by a small AI-only core team in London 4.3 Full comparison
Index.dev Startups that want a 30-day refundable trial before... A 30-day trial with full refund on every placement 4.2 Full comparison
Vstorm Teams whose LLM agent prototype needs engineers who... A team that works almost entirely on LLM agents and RAG 4.2 Full comparison
Turing Companies that need many remote ML and data... Automated vetting and matching across the largest developer pool on this page 4.1 Full comparison
Andela Companies building a long-term remote engineering group outside... Assessment tooling from its 2026 Woven acquisition plus an in-house AI training academy 4.1 Full comparison
Uvik Software Python-heavy teams that want employed senior engineers rather... A no-freelancer policy with senior Python engineers who average seven years or more 4.1 Full comparison
SciForce Healthcare data teams that need NLP or data... Medical data science experience plus a documented multi-year placement engagement 4.0 Full comparison
Fusemachines Cost-conscious companies that want mid-level ML engineers from... Its own AI education programs feed an employed bench in emerging markets 4.0 Full comparison
Addepto Industrial and automotive companies that need data engineers... Data and ML engineers with industrial and automotive client history 4.0 Full comparison
Folio3 Teams that need an MLOps or computer-vision engineer... Very fast start times with a two-week trial and offshore pricing 3.9 Full comparison
Azumo U.S. teams on a tight budget that need... The lowest published hourly band on this page with full U.S. time-zone overlap 3.9 Full comparison
BairesDev U.S. companies that need ML engineers alongside a... Thousands of Latin American engineers available in U.S. time zones 3.9 Full comparison
N-iX Large companies that want ML and data engineers... Scale and two decades of history in Central European delivery 3.9 Full comparison
Svitla Systems Mid-size companies that want one supplier for ML... Engineers in both Latin American and European time zones from one supplier 3.9 Full comparison
Tribe AI Leadership teams that want a part-time senior ML... Part-time access to senior ML practitioners from large tech companies 3.8 Full comparison
Strider U.S. startups that want to hire a Latin... Hiring plus retention support for Latin American developers 3.8 Full comparison
Coderio U.S. teams that need a managed nearshore squad... Squads assembled within seven days, with managed delivery as an option 3.8 Full comparison
Qubit Labs Cost-conscious teams that can write a precise brief... Recruiting across several lower-cost Eastern European countries 3.7 Full comparison
micro1 AI teams that need many vetted contributors quickly... Automated AI interviews that screen candidates in high volume 3.7 Full comparison
Mercor AI labs and research teams that need specialist... AI-run interviews and matching built for high-volume expert hiring 3.7 Full comparison
Harnham Companies hiring permanent data or ML staff in... Twenty years of recruiting only in data and analytics 3.7 Full comparison
KORE1 U.S. companies that want a local agency to... A U.S. staffing agency with contract-to-hire terms for AI roles 3.6 Full comparison

Data Science UA FAQ

What is Data Science UA?

Recruiters who work only on AI and data roles

How much does Data Science UA charge?

Data Science UA uses recruiting fee per hire; outstaffing billed monthly; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.

What tech stack does Data Science UA use?

Data Science UA works with Python, PyTorch, TensorFlow, OpenCV, AWS, Google Cloud. Primary industries served include Technology, Fintech, Healthcare, Retail, Gaming.

Is Data Science UA right for enterprise?

Companies that want to hire Ukrainian ML engineers directly, with an outstaffing option meanwhile. 50–200 team size. Key consideration: Screening is done by recruiters, not engineers.

What are the best Data Science UA alternatives?

The best alternatives to Data Science UA depend on your use case. Top options are:

  • Tensorway: senior ai engineers run a code review and a specialization-specific task on every candidate
  • deepsense.ai: a research-heavy bench of about 120 employed ai specialists with ten years of production work
  • Toptal: multi-stage screening that ends with interviews by senior engineers and a test project
See full alternatives list

Compare Data Science UA with other AI Engineer Staffing companies

Verify all details directly with Data Science UA before making a decision.