Machine Learning Developer Hiring Trends in Milan, Italy

This report was last updated on Sep 7, 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 Artificial Intelligence Machine Learning Engineer job market in Milan has shown notable fluctuations over the past 12 weeks, with critical insights for hiring managers.
Milan accounts for 63% of the total AI job openings in Italy, affirming its status as the leading tech hub for Artificial Intelligence Machine Learning Engineer recruitment.
A total of 254 candidates can be hired within 30 days, indicating the urgency for CTOs and Engineering Managers to expedite their recruitment processes to capture available talent.
The hiring landscape is characterized by a significant competition for talent, with job closures outpacing openings, necessitating innovative recruitment strategies tailored for the Milan tech sector.
Key technologies in demand feature Python, SQL, and Machine Learning, emphasizing the need for recruitment strategies to focus on these essential skills in order to attract top talent.

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

In the past 12 weeks, the Artificial Intelligence Machine Learning Engineer job market in Italy Milan has shown varying activity levels, with a peak of 17 new jobs posted in week 31. However, this upsurge contrasts sharply with the closure of 17 jobs in the same period, underscoring a growing competition for talent. The recruitment landscape particularly highlights a troubling disparity, where despite intermittent job postings, closures consistently outnumber openings, particularly in weeks 26 through 30. Comparatively, hiring trends for these roles in other European cities paint a more stable picture, indicating the necessity for innovative recruitment strategies for CTOs in Milan's tech sector to attract top talent.

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	31
SISSA	null	null	null	23
Amaris Consulting	Switzerland	Information Technology & Services	2007	15
Canonical	United Kingdom	Information Technology & Services	2004	9
Deloitte	United States	Management Consulting	1845	8
RINA	Italy	Professional Training & Coaching	1861	7
Axelera AI	Netherlands	Semiconductors	2021	6
Prometeia	Italy	Management Consulting	1974	6
ION	United Kingdom	Information Technology & Services	1998	5
PwC Italy	null	null	null	4

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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 job market for Artificial Intelligence Machine Learning Engineers is highly competitive across Europe, with significant disparities in talent availability. In Italy, particularly in Milan, the ratio of available talent to job openings indicates a tighter market, making it relatively challenging for hiring managers to secure qualified candidates. For instance, Italy has a limited talent pool compared to the influx of job openings, while countries like Germany and France exhibit a more balanced ratio, suggesting a slightly easier hiring environment. Conversely, nations such as the Netherlands present an even broader talent pool relative to demand, highlighting favorable conditions for recruitment. Thus, CTOs and engineering managers in Italy must adopt innovative recruitment strategies to attract top-tier talent in the AI and Machine Learning sectors.

Seniority distribution of Machine Learning Engineer job openings in Milan

Seniority Distribution of Machine Learning Engineering Jobs in Milan

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Italy Milan, the seniority distribution reveals key insights for hiring managers. The entry-level positions represent a significant 57% of the job offerings, followed by mid-senior level roles at 26% and associate positions at 20%. This distribution indicates a robust demand for early-career talent, alongside a stable need for seasoned professionals, emphasizing the importance of targeted recruitment strategies for CTOs and hiring managers.

Preferred employment type for Engineering roles in Italy

In the Italian engineering job market, particularly for roles within Artificial Intelligence and Machine Learning, full-time positions dominate with 94% of the job listings. This is followed by internships at 6%, while both contract and part-time roles make up a significantly smaller fraction, at 3% and 3% respectively. These figures underscore the strong preference for stable, long-term employment in the tech sector, a crucial factor for hiring managers seeking to attract top talent.

Time to Hire Distribution for Artificial Intelligence in Italy

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in Italy demonstrates a notable distribution that hiring managers should consider. A significant portion of candidates (254) is secured within a 30-day window, indicating an urgency in demand within the tech sector. As the hiring duration extends to 35 days, the count remains substantial at 111, while it drops to 69 after 40 days. This distribution suggests that recruitment strategies should focus on expediting the hiring process, especially for top talent within the competitive Milan job market.

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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 the Italian job market for Artificial Intelligence and Machine Learning Engineers, Milan leads with 63% of the total job openings, showcasing its dominance as a tech hub. Following Milan, Rome accounts for 27% of the opportunities, while Turin contributes to 13%. This distribution underlines the significance of Milan as the primary location for AI and Machine Learning roles, making it a focal point for hiring strategies in the sector.

Most sought after technologies in Milan for Machine Learning

Key technologies for Machine Learning Engineers

In the thriving Artificial Intelligence Machine Learning job market in Italy, particularly in Milan, certain technologies dominate the landscape. Python emerges as the most frequently utilized programming language, with a significant presence of 5,248 mentions. Following closely are SQL and Machine Learning, with 1,995 and 3,149 occurrences, respectively. Additionally, Data Science, R, and Java are pivotal skills sought after by employers, signaling recruitment strategies for CTOs and Engineering Managers to focus on these competencies. The accompanying chart illustrates the frequency distribution of these technologies, providing further insights into current hiring trends across Italy's tech sector.

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