Machine Learning Developer Hiring Trends in Italy

This report was last updated on Sep 6, 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 job market in Italy is witnessing a notable growth trend, characterized by a recent peak of 32 job openings in week 31 and an average of approximately 12.5 positions weekly over the past three months.
With 1,000 current job openings and a talent pool of 5,000 candidates, Italy presents a favorable hiring environment for Artificial Intelligence Machine Learning Engineers, suggesting strong recruitment opportunities as the demand continues to rise.
Milan remains the leading city for hiring Artificial Intelligence Engineers, accounting for a staggering 69% of job openings, followed by Rome at 30% and Turin at 14%, highlighting the geographical concentration of talent in key urban centers.
The market shows a significant preference for full-time roles, comprising 93% of available positions, which emphasizes the stability sought in the recruitment of Artificial Intelligence Machine Learning professionals in Italy.
The median time to hire for Artificial Intelligence Engineers in Italy is 31 days, indicating a competitive recruitment landscape where swift hiring strategies are essential for CTOs and engineering managers seeking top talent.

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

In the latest analysis of the Artificial Intelligence Machine Learning job market in Italy, the emergence of new roles reflects a significant upward trajectory. Over the past 12 weeks, the number of job openings has peaked at 32 in week 31, contributing to a weekly average of approximately 12.5 positions. However, it is important to note that the closure rate of these roles has been substantially higher, with 59 positions closed in week 26 alone. This stark contrast in hiring and closing rates indicates an increasingly competitive landscape for Artificial Intelligence Machine Learning Engineer opportunities in Italy. Recruitment strategies for CTOs in Italy's tech sector must therefore adapt proactively to this volatility, ensuring efficient talent acquisition in a rapidly evolving marketplace.

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 talent market for Artificial Intelligence Machine Learning Engineers in Europe reveals significant disparities across countries. In Italy, there are currently 1,000 job openings, while the available talent pool comprises 5,000 candidates, resulting in a ratio of 5.0. This suggests a relatively favorable hiring environment compared to Germany, where the job openings stand at 2,500 against a talent pool of 12,500 (5.0 ratio), and France, with 1,800 job openings and a talent pool of 9,000 (5.0 ratio). Conversely, the United Kingdom currently faces a more challenging landscape, with 3,000 positions and a talent pool of only 7,000, creating a ratio of approximately 2.3. Consequently, while hiring talent in Italy appears manageable, the same cannot be said for the UK market, where recruitment strategies may require more effort and resource allocation.

Seniority distribution of Machine Learning Engineer job openings in Italy

Seniority Distribution of Machine Learning Engineering Jobs in Italy

In the Italian job market for Artificial Intelligence Machine Learning engineers, the seniority distribution reveals notable trends. Entry-level positions account for 45% of the market, indicating a strong influx of new talent. Mid-Senior level roles represent 25%, reflecting a solid demand for experienced professionals. Associate positions make up 13%, suggesting a need for intermediates to bridge the gap between entry-level and advanced expertise.

Preferred employment type for Engineering roles in Italy

The employment type distribution for engineering roles in Italy reveals a significant trend geared towards full-time positions, which account for 93% of the available jobs. In contrast, internships contribute 6% to the market, while contract roles represent a mere 1%. This distribution underscores the preference for stable employment in the Artificial Intelligence and Machine Learning sectors, highlighting recruitment strategies that focus on full-time talent acquisition.

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 Engineers in Italy reveals critical insights into recruitment dynamics. The majority of candidates, approximately 35%, are secured within a 30 to 39-day timeframe, indicating a competitive landscape. Notably, 20% are hired within 25 to 29 days, pointing to a rapid onboarding process for those with sought-after skills. However, hiring efforts extending beyond 60 days represent a smaller segment, underscoring the urgency for hiring managers to implement effective recruitment strategies in the evolving Artificial Intelligence Machine Learning job market in Italy.

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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 job market for Artificial Intelligence Machine Learning Engineers is predominantly concentrated in Milan, which accounts for 69% of the total job openings. Rome follows with 30%, while Turin contributes 14% to the overall distribution. This data highlights that Milan remains a crucial hub for AI talent, reflecting its significance in Italy's tech landscape.

Most sought after technologies in Italy for Machine Learning

Key technologies for Machine Learning Engineers

In the Italian market for Artificial Intelligence Machine Learning engineers, several key technologies are frequently utilized, shaping recruitment strategies for CTOs and hiring managers within the tech sector. According to the provided data, Python stands out as the most dominant programming language, with a frequency of 5,248, followed by Machine Learning itself at 3,149. Other notable technologies include SQL, with 1,995 uses, and Data Science, which appears 1,229 times in job postings. Additionally, R, Data Engineering, and AWS are important tools, marked by their respective frequencies of 716, 689, and 704. This data sets the foundation for understanding hiring trends and the specific skillsets that are vital for attracting top talent in the field, illustrated in the accompanying chart.

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