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Machine Learning Developer Hiring Trends in Athens, Greece

This report was last updated on Sep 6, 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 Engineers job market in Greece, particularly Athens, showcases significant activity with 150 current job openings and a talent pool of approximately 1,500 professionals, highlighting a jobs-to-talent pool ratio of 10, indicating a competitive environment for hiring.
  • In Athens, the distribution of job roles reveals a concentration of mid-senior level positions, representing 66% of listings, with entry-level roles at 29% and associate roles at 4%, demonstrating a need for targeted recruitment strategies tailored to meet the demand for experienced talent in the Artificial Intelligence and Machine Learning sector.
  • The hiring landscape reveals that the majority of new job openings peaked during week 35 with 14 positions advertised, contrasting with a closure trend that peaked at 8 positions during week 25, underlining the competitive and dynamic nature of recruitment within this sector.
  • Top companies actively hiring for Artificial Intelligence and Machine Learning roles in Greece include Elastic, Canonical, and Axelera AI, representing a diverse range of industries from technology services to semiconductors.
  • With a median time to hire of 34 days for Artificial Intelligence Engineers in Greece, hiring managers must adopt effective recruitment strategies to navigate this dynamic market efficiently, ensuring that they secure top talent within a competitive timeframe.
Number of roles opened and closed for Machine Learning Engineers in Athens in the last 3 months

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

The Artificial Intelligence Machine Learning Engineers job market in Greece, particularly Athens, has exhibited fluctuations over the past 12 weeks, with a notable surge in job openings recorded in week 35, where 14 new positions were posted. Conversely, the closed jobs data reveals a cumulative closure trend that peaked at 8 positions during week 25, showcasing a competitive landscape for hiring managers. Compared to other roles in Greece, the hiring momentum for Artificial Intelligence Machine Learning Engineers suggests an emerging sector demand, reflecting trends seen across Europe's technology landscape where similar vacancies show robust hiring activity.

Who else is hiring for ai Engineers in Greece:

Company name Country Industry Founded # Job openings
Elastic logo Elastic United States Information Technology & Services 2012 10
Canonical logo Canonical United Kingdom Information Technology & Services 2004 9
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 6
EY logo EY United Kingdom Professional Training & Coaching 1989 4
wherewework Hellas logo wherewework Hellas null null null 4
Netcompany logo Netcompany Denmark Information Technology & Services 2000 3
Cast AI logo Cast AI United States Information Technology & Services 2019 3
QUALCO logo QUALCO Greece Information Technology & Services 1998 3
Agile Actors logo Agile Actors Greece Information Technology & Services 2012 3
Blend Technologies logo Blend Technologies Greece Information Technology & Services 2023 3

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Talent pool vs job openings for Artificial Intelligence Engineers in Greece

How competitive it is to hire Artificial Intelligence Engineers in Greece

The talent market for Artificial Intelligence Machine Learning Engineers in Greece presents a compelling landscape for hiring managers. With a job openings to talent pool ratio indicating a competitive environment, Greece has a total of 150 job openings compared to a talent pool size of 1,500, resulting in a jobs-to-talent pool ratio of 10. In comparison, countries like Germany, with 1,200 job openings and a talent pool of 8,000 (ratio of 6.67), and France, offering 900 openings against 7,000 available talents (ratio of 7.78), showcase a more favorable ratio when it comes to talent availability. Additionally, Spain's ratio stands at 8.57 with 800 job openings to 6,800 talent pool. This suggests that while Greece has emerging opportunities for Artificial Intelligence Machine Learning Developers, the relatively higher ratio indicates a tighter market, making it more challenging for CTOs and tech leads to secure top-tier talent compared to other European countries.

Seniority distribution of Machine Learning Engineer job openings in Athens

Seniority Distribution of Machine Learning Engineering Jobs in Athens

In the Athens job market for Artificial Intelligence Machine Learning Engineers, the seniority distribution indicates a strong presence of Mid-Senior level roles, accounting for 66% of job listings. Entry level positions represent 29%, while Associate roles contribute to 4% of the openings. This distribution highlights the need for hiring managers to consider a balanced approach in recruitment strategies, particularly for mid to senior-level talent.

Chart about preferred employment type for Engineering roles in Greece

Preferred employment type for Engineering roles in Greece

In Greece, the employment type distribution for engineering roles reveals a strong preference for full-time positions, comprising 97% of the total job market. Contract roles account for 2% of the engineering job landscape, while part-time positions make up only 1%. This data highlights the significant demand for stability and long-term commitment in the employment landscape for Artificial Intelligence Machine Learning Engineers in Greece, particularly in Athens.

Time to Hire Distribution for Artificial Intelligence in Greece

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Greece demonstrates a diverse distribution, with notable trends impacting recruitment strategies. The majority of hires occur within a time frame of 30 to 40 days, accounting for 66 and 29 candidates, respectively. However, there remains a significant number of vacancies extending to 55 days (17 candidates) and beyond. This suggests that hiring managers and recruiters in Athens should anticipate a substantial recruitment duration when targeting top-tier Artificial Intelligence talent. Understanding these hiring metrics is essential for CTOs and Engineering Managers to refine their talent acquisition strategies in the competitive landscape of the Greek tech sector.

Expolore reports from other European Developer talent pools

Most popular cities in Greece to hire Artificial Intelligence Engineers

Top 5 cities in Greece to hire Artificial Intelligence Engineers

In Greece, the distribution of Artificial Intelligence Engineer job openings highlights a significant concentration in Athens, with the capital city accounting for 78% of the total vacancies. Thessaloniki follows with 12%, while Marousi represents 5% of the market. As illustrated in the accompanying chart, Athens remains the focal point for talent acquisition in the Artificial Intelligence job sector.

Most sought after technologies in Athens for Machine Learning

Key technologies for Machine Learning Engineers

The job market for Artificial Intelligence and Machine Learning Engineers in Greece, particularly in Athens, showcases a diverse array of technologies that are pivotal for professionals in this field. The most frequently utilized technology is Python, with an impressive utilization frequency of 5,248, highlighting its dominance in AI and Machine Learning development. Following Python, SQL is significantly prevalent with a frequency of 1,995, reflecting its crucial role in data management and analysis. Other notable technologies include Machine Learning at 3,149, Data Science at 1,229, and R at 716, all of which are essential for effectively tackling various analytical challenges in the tech sector. Additionally, foundational skills in Java, C++, and the use of AWS and Data Engineering are also prominent in the hiring landscape, as illustrated in the attached chart.

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