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Machine Learning Developer Hiring Trends in Romania

This report was last updated on Sep 7, 2025

Bence Gedai / Founder

Bence Gedai

Founder

I analyze live hiring data and tech job trends across Europe to give CTOs and Product Leaders a strategic edge. By tracking tens of thousands of open roles each week, I uncover which skills, roles, and locations are in highest demand — potential competitors, typical time to hire, talent pool sizes, and more to help you prioritize hiring, benchmark and stay competitive in a fast-moving market.

Key learnings from this report

  • The talent pool for Artificial Intelligence Machine Learning Engineers in Romania is experiencing a strong demand versus supply dynamic, with 66% of job postings targeting mid-senior level positions.
  • Recent data reveals a significant fluctuation in job openings for Machine Learning Engineers, peaking at 46 in week 32, and highlighting a need for effective recruitment strategies to secure talent.
  • Bucharest dominates the job market, accounting for 79% of job openings for Artificial Intelligence Engineers, followed by Cluj-Napoca and Timișoara.
  • The average time to hire for Artificial Intelligence Engineers in Romania is currently 38 days, stressing the necessity for efficient recruitment processes in a competitive environment.
  • Top employers in the market include NTT DATA Europe & Latam, Canonical, and Microsoft, indicating ongoing strategic hiring efforts by major companies in Romania's tech landscape.
Number of roles opened and closed for Machine Learning Engineers in Romania in the last 3 months

Number of roles opened and closed for Machine Learning Engineers in Romania in the last 3 months

In recent weeks, the job market for Artificial Intelligence Machine Learning Engineers in Romania has demonstrated significant fluctuations. Over the last 12 weeks, the number of new jobs opened peaked at 46 in week 32 before experiencing a sharp decline, with only 1 job opening recorded in week 35. In contrast, job closures have consistently remained high, notably seeing 31 jobs closed in the second week. This trend indicates an increasing competition in the market, highlighting the urgency for hiring managers to implement effective recruitment strategies, as the demand for Artificial Intelligence Machine Learning specialists continues to outpace openings. Compared to other roles in Romania, the volatility seen in AI and Machine Learning positions underlines the critical necessity for tech leads and CTOs to closely monitor hiring trends to secure top talent.

Who else is hiring for ai Engineers in Romania:

Company name Country Industry Founded # Job openings
NTT DATA Europe & Latam logo NTT DATA Europe & Latam Spain Information Technology & Services 1967 51
Canonical logo Canonical United Kingdom Information Technology & Services 2004 17
Microsoft logo Microsoft United States Information Technology & Services 1975 16
IBM logo IBM United States Information Technology & Services 1911 14
Undelucram.ro logo Undelucram.ro Romania Human Resources 2011 10
Hipo.ro logo Hipo.ro Romania Professional Services 2006 8
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 7
OpenText logo OpenText Canada Information Technology & Services 1991 7
CrowdStrike logo CrowdStrike United States Computer & Network Security 2011 7
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 6

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Talent pool vs job openings for Artificial Intelligence Engineers in Romania

How competitive it is to hire Artificial Intelligence Engineers in Romania

The job market for Artificial Intelligence Machine Learning Engineers in France reveals significant disparities in hiring ease across different countries. In Romania, there is a notable ratio of talent pool to job openings, indicating that while opportunities are present, competition for skilled candidates is intensifying. Compared to Poland, which boasts a larger talent pool relative to job availability, and Germany, where demand outstrips supply, Romania presents a unique challenge for hiring managers. Furthermore, countries like France are also experiencing high demand for Artificial Intelligence Machine Learning talent, suggesting that CTOs and recruitment leaders in Romania must adopt strategic recruitment approaches to attract top talent. In summary, while there are opportunities for Artificial Intelligence Machine Learning Developers in Romania, the balance of supply and demand indicates a moderately tough hiring landscape.

Seniority distribution of Machine Learning Engineer job openings in Romania

Seniority Distribution of Machine Learning Engineering Jobs in Romania

In Romania's job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution is notably skewed towards the Mid-Senior level, which accounts for 66% of available positions. Entry level roles represent 17% of the market, followed by Associate roles at 7%. This data highlights a significant demand for experienced talent, signifying potential recruitment strategies needed to attract Senior Artificial Intelligence Machine Learning Developers.

Chart about preferred employment type for Engineering roles in Romania

Preferred employment type for Engineering roles in Romania

In Romania's engineering sector, the employment landscape is predominantly characterized by full-time positions, comprising 95% of total roles, which highlights a strong preference for stability among professionals. Meanwhile, contract roles represent 4% of the job market, followed by part-time opportunities at 2%. This distribution signals to hiring managers the critical importance of offering full-time positions to attract top talent in the Artificial Intelligence and Machine Learning domains.

Time to Hire Distribution for Artificial Intelligence in Romania

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Romania reveals critical insights into recruitment dynamics in the tech sector. A significant portion of the hiring process, 201 counts, falls within a 30-day timeframe, indicating an urgency in sourcing talent. However, as the timeline extends, a notable 97 hires occur between 25 to 30 days, which highlights a potential pipeline of candidates. Recruitment managers should recognize the importance of streamlined processes, as 79 candidates are hired within a 35-day window. As the demand for skilled Artificial Intelligence Machine Learning Developers rises, adapting recruitment strategies to minimize these durations will be crucial for staying competitive in the job market.

Expolore reports from other European Developer talent pools

Most popular cities in Romania to hire Artificial Intelligence Engineers

Top 5 cities in Romania to hire Artificial Intelligence Engineers

In Romania, the distribution of job openings for Artificial Intelligence Engineers reflects a strong concentration in key urban centers. Bucharest leads the way, accounting for 79% of the total job opportunities, followed by Cluj-Napoca at 13%, and Timișoara at 7%. This data illustrates the capital's dominance in the Artificial Intelligence Machine Learning job market in Romania, as visualized in the accompanying chart.

Most sought after technologies in Romania for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence and Machine Learning job market in Romania, certain technologies emerge as prominent drivers. Python leads the charge with a frequency of 5,248, reflecting its widespread adoption among developers. Following closely is Machine Learning, with a notable frequency of 3,149, underscoring its critical role in the sector. Data Science, recognized for its analytical prowess, also holds significant importance with 1,229 mentions. Other notable technologies include SQL and Java, with frequencies of 1,995 and 921, respectively. For a comprehensive visualization of these trends, please refer to the accompanying chart.

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