Machine Learning Developer Hiring Trends in Rome, 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 European Artificial Intelligence Machine Learning Engineers job market shows an upward trajectory in demand, particularly in Italy's capital, Rome, over the past three months, where fluctuations in job openings highlight potential opportunities for hiring managers.
Approximately 30% of the Artificial Intelligence Machine Learning job market in Italy is concentrated in Rome, with the median time to hire standing at 31 days, indicating a competitive landscape that requires proactive recruitment strategies.
Noteworthy companies hiring for Artificial Intelligence and Machine Learning roles include NTT DATA Europe & Latam, SISSA, and Amaris Consulting, underlining the strong industry interest in these specialties.
The landscape reveals a talent pool dichotomy with entry-level and mid-senior roles representing a significant portion of job openings, while the ratio of available talent to job openings suggests a challenging recruitment environment for hiring managers in Italy.
Key technologies in demand among Machine Learning Engineers include Python, SQL, and Machine Learning frameworks, emphasizing the technical skills that should be prioritized in recruitment strategies for Artificial Intelligence Machine Learning Developers in Italy's evolving tech ecosystem.

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Italy, particularly in Rome, has exhibited notable fluctuations. A peak was observed in week 25 with five new job postings, while the total number of jobs closed has consistently outpaced openings, reaching a high of six in week 33. This trend indicates a growing demand for these specialized roles, despite the overall disparity in new versus closed positions. Comparatively, while other roles in Italy also face closures, the specific demand for Artificial Intelligence and Machine Learning developers remains significant, reflecting a larger European trend where these positions are increasingly sought after.

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 current landscape for Artificial Intelligence Machine Learning Engineers in Europe reveals a varied challenge for hiring managers. Specifically, Italy has a relatively low ratio of talent pool to job openings, indicating potential difficulties in hiring. Comparatively, countries like Germany and the United Kingdom display a healthier ratio, suggesting they may offer more accessible talent. Conversely, nations such as Poland are also experiencing an uptick in job openings, but they maintain a balanced talent supply. As a result, recruitment strategies for CTOs in Italy's tech sector must adapt to ensure they effectively attract the necessary skills amidst rising competition.

Seniority distribution of Machine Learning Engineer job openings in Rome

Seniority Distribution of Machine Learning Engineering Jobs in Rome

The seniority distribution for Artificial Intelligence Machine Learning Engineering jobs in Italy, particularly in Rome, reveals key insights for hiring managers. The entry-level positions comprise 39% of the market, while mid-senior level roles make up 30%. Additionally, associate-level jobs account for 26%, indicating a substantial availability of opportunities across various experience levels within the sector.

Preferred employment type for Engineering roles in Italy

In Italy's software development job market, the dominant employment type is Full-time positions, accounting for 93% of roles. Internships follow, representing 6% of the available opportunities, while Contract roles make up 1%. This distribution indicates a strong preference for stable, long-term employment in the tech sector, particularly relevant for hiring managers seeking to attract Artificial Intelligence Machine Learning Engineers in Italy and Rome.

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 critical trends for hiring managers. A significant proportion of candidates, approximately 36%, are hired within a 30 to 35 day timeframe, indicating a competitive market. Moreover, 21% of positions are filled between 15 to 20 days, highlighting opportunities for swift recruitment strategies. However, as the hiring window extends beyond 60 days, the number of hires becomes limited, with only 11% securing positions past this period. These insights provide valuable intelligence for CTOs and hiring managers looking to navigate the Artificial Intelligence Machine Learning job market in Italy, particularly in major hubs like Rome.

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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 Engineers shows a pronounced concentration in major cities, with Milan leading at 68% of the total job openings. Rome follows as the capital with 30%, significantly impacting the Artificial Intelligence Machine Learning job market in Italy. Turin trails behind with 14%, indicating a potential opportunity for recruitment strategies aimed at diversifying talent acquisition across these key regions.

Most sought after technologies in Rome for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving landscape of the Artificial Intelligence and Machine Learning job market in Italy, particularly in Rome, a few key technologies dominate the field. Python leads the way with a significant usage frequency of 5,248, making it essential for any aspiring Machine Learning Engineer. Following closely are SQL and Machine Learning itself, with frequencies of 1,995 and 3,149 respectively, highlighting their critical roles in data management and predictive modeling. Other notable technologies include R, with a frequency of 716, and Deep Learning, registered at 554. The accompanying chart illustrates these trends, providing valuable insights for hiring managers aiming to attract top talent in this competitive domain.

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