Machine Learning Developer Hiring Trends in Milan, Italy

This report was last updated on Aug 16, 2025

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 Italy, particularly in Milan, has exhibited notable fluctuations over the past 12 weeks, with a peak of 17 new job postings in week 31 and a concerning total of 83 closed positions during the same period.
Milan is the dominant hub for Artificial Intelligence Machine Learning Engineer roles, accounting for 80% of the job openings in Italy, followed by Rome and Turin with significantly lower percentages, further emphasizing Milan's centrality in this job market.
The seniority distribution in Milan reveals that entry-level positions represent 43% of the total listings, highlighting a significant availability for junior talent, which may inform tailored recruitment strategies for hiring managers aiming to attract emerging professionals in this sector.
The high number of job openings, combined with a limited talent pool in Italy, creates a challenging environment for hiring Artificial Intelligence Machine Learning Engineers, which contrasts sharply with countries like Germany and the Netherlands, indicating the need for adaptive recruitment tactics.
The median time to hire for Artificial Intelligence Engineers in Italy is 32 days, with most positions being filled within 30 days, suggesting an urgent demand for talent and the importance of effective recruitment strategies among CTOs and engineering managers to remain competitive.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Italy Milan has exhibited fluctuating trends. Notably, there was a peak in week 31 with 17 new job postings, contrasting sharply with only 1 job posted in week 29. However, the closure of jobs during this period reveals a concerning trend, as 9 jobs were closed in week 22 alone, contributing to a total of 83 closed positions over the examined weeks. Compared to other tech roles in the region, the volatility in openings and closures may indicate a competitive landscape for Artificial Intelligence Machine Learning engineers, necessitating adaptive recruitment strategies for CTOs and hiring managers aiming to attract top talent in Italy Milan.

Who else is hiring for ai Engineers in Italy:

Company name	Country	Industry	Founded	# Job openings
NTT DATA Europe & Latam	Spain	Information Technology & Services	1967	32
Bending Spoons	Italy	Information Technology & Services	2013	25
SISSA	null	null	null	25
Amaris Consulting	Switzerland	Information Technology & Services	2007	21
Axelera AI	Netherlands	Semiconductors	2021	11
Canonical	United Kingdom	Information Technology & Services	2004	8
Deloitte	United States	Management Consulting	1845	8
HRSpecialist Italia - Il Tuo Nuovo Lavoro	Italy	Human Resources	null	7
Jobbit	null	null	null	7
Avanade	United States	Information Technology & Services	2000	6

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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 landscape for hiring Artificial Intelligence Machine Learning Engineers in Europe reveals significant variations by country. For instance, Italy currently boasts a high number of relevant job openings but is accompanied by a limited talent pool, resulting in a challenging recruitment environment for CTOs and hiring managers. In comparison, countries like Germany and France showcase a healthier balance between job vacancies and available talent, indicating comparatively easier hiring conditions. Moreover, the Netherlands presents an even more favorable ratio, suggesting that hiring Artificial Intelligence Machine Learning Engineers is noticeably more straightforward there than in Italy. As a result, recruitment strategies for CTOs and senior engineering roles in Milan must take into account the scarcity of talent in relation to growing demand.

Seniority distribution of Machine Learning Engineer job openings in Milan

Seniority Distribution of Machine Learning Engineering Jobs in Milan

In the Artificial Intelligence Machine Learning job market in Italy, specifically in Milan, the seniority distribution reveals significant trends. Entry-level positions comprise 43% of the total job listings, highlighting the overwhelming availability for junior talent. Mid-Senior level roles account for 26%, while the Associate level represents 17%. This data underscores the evolving landscape for recruitment strategies tailored for CTOs and Engineering Managers in Milan's tech sector.

Preferred employment type for Engineering roles in Italy

In the Italian software development job market, the distribution of employment types reveals a strong preference for full-time roles, which constitute 94% of available positions. Internships account for 6% of job opportunities, while contract roles represent a mere 3% of the market. This data highlights the stability preferred by employers and candidates alike within the engineering sector, especially for positions in Artificial Intelligence and Machine Learning.

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 Machine Learning Engineers in Italy reveals key trends for hiring managers across the tech landscape. Notably, the majority of positions, totaling 333 instances, are filled within 30 days, indicating a competitive recruitment environment in the Italy Milan job market. A significant number of hires, approximately 175, occur within a 10-day frame, reflecting urgency for talent acquisition, while 144 positions take up to 15 days to fill. As demand continues to rise, CTOs and engineering managers must strategize recruitment practices to attract senior Artificial Intelligence Machine Learning Developers efficiently. With 92 hires completed within 20 days, market players should recognize the necessity for effective and timely recruitment efforts to capitalize on emerging opportunities.

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Most popular cities in Italy to hire Artificial Intelligence Engineers

Top 5 cities in Italy to hire Artificial Intelligence Engineers

In Italy, the distribution of job openings for Artificial Intelligence Machine Learning Engineers highlights a significant concentration in Milan, which accounts for 80% of the total relevant positions. Rome follows with 36%, while Turin represents 16% of the market. This data underscores the prominence of Milan as a pivotal hub within the Artificial Intelligence Machine Learning job market in Italy.

Most sought after technologies in Milan for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Italy, particularly in Milan, certain technologies stand out as essential. Python leads the way with a remarkable frequency of 6,500 uses, reflecting its dominance in AI and Machine Learning developments. Following closely are SQL, utilized 2,543 times, and Machine Learning itself, appearing 3,788 times, indicating their pivotal roles in data management and predictive modeling. Other notable technologies include R (716), Data Engineering (731), and Deep Learning (554), each contributing significantly to the capabilities required for modern AI applications. For a comprehensive overview of the technological landscape, please refer to the accompanying chart.

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