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Machine Learning Developer Hiring Trends in Limassol, Cyprus

This report was last updated on Jul 19, 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 Artificial Intelligence Machine Learning Engineer job market in Cyprus, specifically in Limassol, currently faces notable challenges, with only five new roles opening in the last 12 weeks alongside 17 closures, emphasizing the urgent need for effective recruitment strategies.
  • Limassol accounts for 46% of the total Artificial Intelligence Machine Learning job openings in Cyprus, highlighting it as the most promising city for hiring in this sector, while Nicosia follows with 35% of the openings.
  • A robust demand for Mid-Senior level professionals is evident, comprising 65% of the job openings, suggesting that hiring managers should tailor their recruitment efforts to attract this level of experienced talent amid evolving project needs.
  • The current job market exhibits a median time to hire of 35 days for Artificial Intelligence Machine Learning Engineers in Limassol, which underscores the importance of prompt recruitment processes to secure top candidates in a competitive landscape.
  • EPAM Systems, Gcore, and Wargaming emerge as the top hiring companies in Cyprus’s tech sector, reflecting the increasing interest in acquiring Artificial Intelligence Machine Learning talent and the key players driving this demand.
Number of roles opened and closed for Machine Learning Engineers in Limassol in the last 3 months

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

The Artificial Intelligence Machine Learning Engineer job market in Cyprus Limassol has recently shown fluctuations in job openings. Over the last 12 weeks, there were only five new positions created, with a noticeable increase in week 24, where two roles were posted. Conversely, job closures remained significant, with a total of 17 positions closed during the same period. This trend indicates a concerning deficit in net job creation for Artificial Intelligence Machine Learning Developers, especially when compared to hiring trends across Europe, suggesting a need for recruitment strategies from CTOs in Cyprus Limassol's tech sector to enhance retention and attract talent amidst rising competition.

Who else is hiring for ai Engineers in Cyprus:

Company name Country Industry Founded # Job openings
EPAM Systems logo EPAM Systems United States Information Technology & Services 1993 3
Gcore logo Gcore Luxembourg Information Technology & Services 2014 3
Wargaming logo Wargaming Cyprus Computer Games 1998 3
JetBrains logo JetBrains Netherlands Information Technology & Services 2000 2
Welltech logo Welltech Cyprus Health, Wellness & Fitness 2017 2
EY logo EY United Kingdom Professional Training & Coaching 1989 2
PM Group logo PM Group null null null 2
The Flex logo The Flex United Kingdom Real Estate 2019 2
Bravo Beveiliging B.V. logo Bravo Beveiliging B.V. Netherlands Security & Investigations 2018 2
Nekki logo Nekki Cyprus Computer Games 2002 2

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Talent pool vs job openings for Artificial Intelligence Engineers in Cyprus

How competitive it is to hire Artificial Intelligence Engineers in Cyprus

The job market for Artificial Intelligence Machine Learning Engineers in Europe reveals significant disparities among countries. In Cyprus, the ratio of available talent to job openings indicates a challenging hiring landscape, with a jobs-to-talent pool ratio that suggests competition for skilled professionals is high. Comparatively, countries such as Germany, with a robust talent pool and numerous openings, and France, which shows a balanced supply-demand dynamic, excel in providing access to qualified candidates. Additionally, Poland displays a favorable ratio, indicating a more straightforward recruitment process. For hiring managers in Cyprus, particularly CTOs and Engineering Managers, these insights underline the importance of tailored recruitment strategies to attract top talent amid rising job market pressures in the tech sector.

Seniority distribution of Machine Learning Engineer job openings in Limassol

Seniority Distribution of Machine Learning Engineering Jobs in Limassol

In Cyprus Limassol, the seniority distribution for Artificial Intelligence Machine Learning Engineering roles indicates a strong demand for Mid-Senior level professionals, comprising 65% of job openings, followed by Entry level positions at 19% and Associate roles at 8%. This trend highlights the emphasis on experienced talent within the tech sector, suggesting that hiring managers should strategically focus their recruitment efforts on attracting Mid-Senior level candidates to meet evolving project demands.

Chart about preferred employment type for Engineering roles in Cyprus

Preferred employment type for Engineering roles in Cyprus

In the evolving job market for Artificial Intelligence and Machine Learning engineers in Cyprus, particularly in Limassol, full-time positions dominate, comprising 97% of the employment types available. Part-time roles account for 3%, while contract positions are represented by a minimal 2%. This distribution highlights the preference for stable, long-term employment in Cyprus's tech sector, informing recruitment strategies for CTOs and hiring managers.

Time to Hire Distribution for Artificial Intelligence in Cyprus

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineer positions in Cyprus, particularly in Limassol, reveals critical insights for hiring managers in the tech sector. Notably, the majority of applicants, accounting for 39 counts, experience a time to hire of 30 days, followed by significant numbers at 25 days (29 counts) and 35 days (51 counts). This suggests a competitive job market where prompt recruitment could be essential for successfully attracting top talent. For CTOs and Engineering Managers, understanding these hiring trends is vital in formulating effective recruitment strategies. As the demand for qualified Artificial Intelligence Machine Learning Developers continues to rise, tailoring recruitment efforts to these timelines may optimize hiring outcomes.

Expolore reports from other European Developer talent pools

Most popular cities in Cyprus to hire Artificial Intelligence Engineers

Top 5 cities in Cyprus to hire Artificial Intelligence Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Cyprus, Limassol stands out as the leading city, commanding 46% of all relevant job openings with 260 positions available. Following closely is Nicosia, contributing 35% with 196 openings. Additionally, Cyprus as a whole represents 13% of the total market, indicating a significant concentration of opportunities in Limassol and Nicosia, essential for hiring managers and CTOs navigating recruitment strategies in this burgeoning tech sector.

Most sought after technologies in Limassol for Machine Learning

Key technologies for Machine Learning Engineers

In the burgeoning Artificial Intelligence and Machine Learning job market in Cyprus, particularly in Limassol, a clear trend emerges regarding the most utilized technologies. Python leads the way with a remarkable frequency of 9,008, establishing itself as the programming language of choice for developers in this field. Following closely, Machine Learning and SQL rank high with 5,056 and 3,637 usages respectively, underscoring the importance of data manipulation and analysis. Other notable technologies include AI, with 3,242 mentions, and Data Science at 1,855, which are integral to the development of innovative solutions. It is essential for hiring managers to take these trends into account, as depicted in the accompanying chart, to align their recruitment strategies effectively.

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