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Machine Learning Developer Hiring Trends in Bucharest, Romania

This report was last updated on Aug 17, 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 job market for Artificial Intelligence Machine Learning Engineers in Romania Bucharest has shown significant fluctuations over the past three months, with a peak of 22 new openings indicating a resurgence in demand.
  • Bucharest holds a dominant position in the Artificial Intelligence Machine Learning job market, accounting for 70% of the total openings in Romania, which presents a strategic advantage for hiring managers targeting this sector.
  • A competitive landscape exists for Machine Learning Engineer roles, with a significant number of job openings and a talent pool size that positions Romania as an attractive recruitment destination compared to other European countries.
  • Current data reveals that 55% of available positions for Machine Learning Engineers are categorized as Mid-Senior level, indicating a robust demand for experienced professionals which necessitates targeted recruitment strategies.
  • The median time to hire for Artificial Intelligence Engineers in Romania is 36 days, highlighting the importance of efficient recruitment practices to secure top talent in a competitive market.
Number of roles opened and closed for Machine Learning Engineers in Bucharest in the last 3 months

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Romania Bucharest has shown considerable fluctuations. The peak occurred in week 32 with 22 new openings, highlighting a resurgence in demand, despite earlier weeks showing significantly lower activity. Conversely, the number of jobs closed has consistently trended upward, peaking at 16 in weeks 24 and 25, which indicates a competitive market where positions are filled quickly. This rapid turnover contrasts with trends in other European countries, suggesting that Romania Bucharest may be experiencing a unique surge in demand for AI and Machine Learning talent, prompting hiring managers to reevaluate recruitment strategies to attract suitable candidates.

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 53
Canonical logo Canonical United Kingdom Information Technology & Services 2004 17
IBM logo IBM United States Information Technology & Services 1911 10
Hipo.ro logo Hipo.ro Romania Professional Services 2006 10
Undelucram.ro logo Undelucram.ro Romania Human Resources 2011 7
OpenText logo OpenText Canada Information Technology & Services 1991 7
GlobalLogic logo GlobalLogic United States Information Technology & Services 2000 7
CrowdStrike logo CrowdStrike United States Computer & Network Security 2011 6
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 6
Amazon logo Amazon United States Information Technology & Services 1994 5

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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 Romania, particularly in Bucharest, reveals a notable dynamic. With a significant number of job openings compared to the size of the available talent pool, Romania demonstrates a promising potential for recruitment. For instance, while Romania's job openings are complemented by a competitive talent pool, countries like Germany and the Netherlands are seeing an even tighter ratio, indicating a more challenging hiring environment. Meanwhile, Poland presents a similar scenario, making Romania an attractive destination for those seeking to fill Artificial Intelligence Machine Learning Developer opportunities. Overall, the data suggests that hiring talent in Romania is relatively easier compared to other European nations, fostering a favorable climate for CTOs and hiring managers in Bucharest's tech sector.

Seniority distribution of Machine Learning Engineer job openings in Bucharest

Seniority Distribution of Machine Learning Engineering Jobs in Bucharest

In the Bucharest job market for Artificial Intelligence and Machine Learning Engineers, a significant 55% of positions are categorized as Mid-Senior level, followed by 15% as Entry level and 4% as Associate. This distribution indicates a robust demand for experienced professionals, highlighting the need for targeted recruitment strategies for CTOs and hiring managers in Romania's tech sector.

Chart about preferred employment type for Engineering roles in Romania

Preferred employment type for Engineering roles in Romania

In Romania's engineering job market, a significant 96% of positions are full-time roles, indicating a strong preference for stable employment among Artificial Intelligence and Machine Learning Engineers. Contract roles make up 4% of the market, while part-time positions account for less than 2%. This distribution informs hiring managers of the prevailing employment trends, essential for developing effective recruitment strategies tailored to the needs of Bucharest's tech sector.

Time to Hire Distribution for Artificial Intelligence in Romania

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence roles in Romania reflects a dynamic and competitive job market. A significant proportion of candidates (237) are secured within 30 days, highlighting a swift recruitment cycle. However, as the hiring timeline extends beyond 30 days, such as at the 70-day mark where 30 candidates were placed, the trend indicates increasing difficulty in attracting top talent. Furthermore, hiring managers should be aware that 113 candidates took 25 days to hire, suggesting that implementing efficient recruitment strategies is critical to securing qualified Artificial Intelligence Machine Learning Engineers in Romania, particularly in Bucharest. Understanding these hiring trends can aid CTOs and tech leads in effectively planning their recruitment approaches to meet the future demand for these specialists.

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 location distribution for Artificial Intelligence Engineer job openings reveals a significant concentration in urban centers, with Bucharest leading the way at 70% of the total market. Cluj-Napoca and Timișoara follow, accounting for 11% and 5% respectively. This underscores the capital's dominant position in the Artificial Intelligence Machine Learning job market in Romania, particularly valuable for hiring managers and recruiters focusing on this sector.

Most sought after technologies in Bucharest for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving Artificial Intelligence and Machine Learning job market in Romania, particularly in Bucharest, several technologies are gaining prominence among employers. Python leads the way with a significant frequency of 6,500 instances, highlighting its critical role in developing complex AI solutions. Close behind is Machine Learning itself, appearing 3,788 times, which underscores its foundational importance in the workforce. SQL and Data Science also rank highly, with frequencies of 2,543 and 1,439 respectively, indicating their essential contributions to data management and analytical processes. Other notable mentions include AWS and Java, with frequencies of 803 and 1,069, which are frequently sought after for cloud solutions and application development. For a visual representation of these technology trends, please refer to the accompanying chart.

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