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Machine Learning Developer Hiring Trends in Turin, Italy

This report was last updated on Aug 3, 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 Italy, particularly in Turin, is currently facing a challenging environment for hiring managers, with a notable decline in job openings compared to the last few months.
  • The talent pool for Artificial Intelligence Machine Learning Engineers in Turin is limited, resulting in a competitive hiring landscape; recruitment strategies must be strategically tailored to address this scarcity.
  • In Turin, the employment type distribution shows a preference for full-time roles, which account for 95% of job listings, indicating a steady demand for long-term employment in the tech sector.
  • Milan remains the leading city for Artificial Intelligence job opportunities in Italy, capturing 74% of the market, followed by Rome and Turin, which has 17% of openings, suggesting that hiring efforts in these cities may yield the best results.
  • The median time to hire for Artificial Intelligence Engineers in Italy is 32 days, underscoring the need for efficient recruitment processes to better compete for top talent amidst a declining number of job postings.
Number of roles opened and closed for Machine Learning Engineers in Turin in the last 3 months

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

In the past 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Italy Turin has exhibited fluctuating patterns, with three jobs posted in week 21, followed by a decline to a single posting in both weeks 25 and 26. Notably, the closure of jobs has outpaced openings, particularly with three positions closed in week 25 alone. Comparatively, the hiring landscape for these roles in Turin diverges from other European markets, where demand remains robust. For hiring managers, this suggests an urgent need to adjust recruitment strategies to attract talent, as opportunities for Artificial Intelligence Machine Learning Engineers are declining despite a seemingly steady interest in the sector.

Who else is hiring for ai Engineers in Italy:

Company name Country Industry Founded # Job openings
NTT DATA Europe & Latam logo NTT DATA Europe & Latam Spain Information Technology & Services 1967 32
Amaris Consulting logo Amaris Consulting Switzerland Information Technology & Services 2007 27
SISSA logo SISSA null null null 27
Canonical logo Canonical United Kingdom Information Technology & Services 2004 13
PwC Italy logo PwC Italy null null null 12
Deloitte logo Deloitte United States Management Consulting 1845 11
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 11
Bending Spoons logo Bending Spoons Italy Information Technology & Services 2013 8
HRSpecialist Italia - Il Tuo Nuovo Lavoro logo HRSpecialist Italia - Il Tuo Nuovo Lavoro Italy Human Resources null 7
Avanade logo Avanade United States Information Technology & Services 2000 7

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Talent pool vs job openings for Artificial Intelligence Engineers in Italy

How competitive it is to hire Artificial Intelligence Engineers in Italy

The talent market for Artificial Intelligence Machine Learning Engineers reveals significant disparities across Europe. In Italy, the ratio of available talent to job openings indicates it is relatively challenging to hire qualified candidates. For instance, with a considerable number of job openings compared to a smaller talent pool, this trend is mirrored in countries like Germany and the United Kingdom, which also show a tight labor market for these roles. Conversely, nations such as Poland exhibit a more favorable job-to-talent ratio, suggesting an ease in recruitment. Ultimately, hiring managers in Italy, particularly in cities like Turin, must adopt strategic recruitment approaches to effectively secure top-tier Artificial Intelligence Machine Learning talent.

Seniority distribution of Machine Learning Engineer job openings in Turin

Seniority Distribution of Machine Learning Engineering Jobs in Turin

In the Artificial Intelligence Machine Learning job market in Italy, particularly in Turin, the seniority distribution reveals distinct trends. Entry-level positions account for 36% of the available roles, reflecting a growing interest among newcomers in the tech sector. Mid-Senior level positions represent 34%, indicating a solid demand for professionals with intermediate experience. Meanwhile, Internship roles make up 34% as well, showcasing a strong emphasis on training and development within the industry.

Chart about preferred employment type for Engineering roles in Italy

Preferred employment type for Engineering roles in Italy

The employment type distribution for engineering roles in Italy reveals a strong preference for full-time positions, accounting for 95% of job listings. Internships represent 5% of the market, while contract roles make up a smaller share at 3%. This trend illustrates the robust demand for stable, long-term positions within the Italian tech landscape, particularly for Artificial Intelligence Machine Learning Engineers in cities like Turin.

Time to Hire Distribution for Artificial Intelligence in Italy

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence and Machine Learning Engineers in Italy reveals key insights for hiring managers in this competitive market. Notably, the majority of candidates are secured within a timeframe of 30 to 35 days, with a significant peak at 30 days where 419 positions are filled. Hiring trends show that while a swift recruitment process is achieved within 20 days for 123 roles, the time frame extends to 60 days for 49 applicants, indicating varied preferences among tech talent. Furthermore, companies should be prepared for longer hiring cycles beyond 70 days, where 17 roles remain open, suggesting potential challenges in attracting Senior Artificial Intelligence Machine Learning Developers. This data is crucial for CTOs and Engineering Managers looking to refine their recruitment strategies.

Expolore reports from other European Developer talent pools

Most popular cities in Italy to hire Artificial Intelligence Engineers

Top 5 cities in Italy to hire Artificial Intelligence Engineers

In the Italian job market for Artificial Intelligence and Machine Learning Engineers, Milan leads with 74% of the total job openings, followed by Rome at 33%. Turin, with 17% of the roles, presents a significant opportunity for talent acquisition, particularly as the capital, Rome, continues to dominate.

Most sought after technologies in Turin for Machine Learning

Key technologies for Machine Learning Engineers

Analysis of the chart reveals the most commonly utilized technologies within the Artificial Intelligence and Machine Learning job market in Italy, particularly in Turin. Python stands out with a frequency of 8,156, making it the leading programming language required for Machine Learning roles. Following closely, SQL is essential, with a usage frequency of 3,272, alongside other vital technologies such as Machine Learning itself at 4,640 and Data Analysis at 1,864. Additionally, the integration of AI is significant, with a frequency of 2,901, underscoring the importance of this paradigm in the hiring landscape. This insights into technology preferences should inform the recruitment strategies for CTOs and hiring managers aiming to attract top talent in the tech sector.

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