N-iX
2,400-engineer firm that runs its own expert network for technical interviews
What is N-iX?
N-iX has been in business since 2002, has its registered headquarters in Malta and does most of its delivery from Ukraine, Poland and other Central European countries. Company materials cite more than 2,400 engineers and staff augmentation as one of three engagement models. It is hiring ML engineers in 2026, and one listing seeks a lead computer-vision engineer for an external expert network that conducts technical interviews, which suggests specialists take part in its screening for senior roles. The firm is large and stable, but ML is a fraction of its work.
N-iX works primarily with clients in Financial services, Manufacturing, Retail, Telecom, Healthcare sectors. Its primary differentiator is: Scale and two decades of history in Central European delivery.
N-iX tech stack and services
| Service area |
|---|
| ML Engineers |
| Data Engineers |
| Computer Vision Engineers |
| MLOps Engineers |
| Dedicated Teams |
| Eastern Europe Talent |
N-iX pricing
Short answer: N-iX uses a monthly per engineer or managed team; rates on request pricing approach. Minimum engagement is not publicly disclosed; a discovery call is required.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated engineer | Variable; depends on team size | Large programmes or team augmentation |
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Project delivery | Variable; depends on team size | Large programmes or team augmentation |
N-iX pros and cons
| Advantages | Things to consider |
|---|---|
| +Large bench across several Central European countries | -ML is a small part of a general software business |
| +Uses outside specialists to interview for senior technical roles | -Headquarters is listed differently across sources |
| +Long history with enterprise clients | -No published rates |
N-iX vs alternatives
How N-iX 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 |
| 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 |
| Data Science UA | Companies that want to hire Ukrainian ML engineers... | A large AI community and conference series that feeds its recruiting | 3.8 | 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 |
N-iX FAQ
What is N-iX?
2,400-engineer firm that runs its own expert network for technical interviews
How much does N-iX charge?
N-iX uses monthly per engineer or managed team; rates on request pricing. Minimum engagement is not publicly disclosed. A discovery call is required to get project-specific quotes.
What tech stack does N-iX use?
N-iX works with Python, Spark, Databricks, AWS, Azure, Google Cloud, PyTorch, Kubernetes. Primary industries served include Financial services, Manufacturing, Retail, Telecom, Healthcare.
Is N-iX right for enterprise?
Large companies that want ML and data engineers from an established Central European supplier. 2,000+ team size. Key consideration: ML is a small part of a general software business.
What are the best N-iX alternatives?
The best alternatives to N-iX 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
Compare N-iX with other AI Engineer Staffing companies
Verify all details directly with N-iX before making a decision.