Machine Learning Developer Hiring Trends in Rome, Italy

This report was last updated on Aug 2, 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 talent pool for Artificial Intelligence Machine Learning Engineers in Rome is competitive, reflecting a growing demand for qualified professionals in this sector.
A total of 21% of job openings for Artificial Intelligence Machine Learning Engineers are concentrated in Rome, making it the second most significant city for such roles in Italy, behind Milan with 46%.
In the last three months, Rome experienced fluctuations in job postings for Artificial Intelligence Machine Learning Engineers, with a peak of 13 new roles and significant job closures, suggesting a need for strategic recruitment.
Top employers in the region include Bending Spoons, Amaris Consulting, and NTT DATA Europe & Latam, indicating that these companies are leading the way in hiring for Artificial Intelligence and Machine Learning roles.
Hiring for Artificial Intelligence Machine Learning Engineers in Rome presents challenges, with a median time to hire at 32 days and a tighter job-to-talent ratio compared to other European regions, necessitating proactive recruitment strategies.

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

The job market for Artificial Intelligence Machine Learning Engineers in Italy, specifically in Rome, has exhibited notable fluctuations over the past 12 weeks. An analysis of the data reveals a peak in job postings during week 21, with 13 new roles opening, juxtaposed against a concerning rate of closures that reached a high of 6 jobs in week 30. While the weekly average of new postings remains relatively modest, it starkly contrasts with the steady number of job closures, indicating a competitive environment for hiring managers in the tech sector. Compared to other roles in Italy, the volatility in this niche suggests a growing demand for Artificial Intelligence Machine Learning job market talent, requiring CTOs and Engineering Managers to reassess their recruitment strategies in alignment with emerging trends across Europe.

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
Amaris Consulting	Switzerland	Information Technology & Services	2007	27
SISSA	null	null	null	27
Canonical	United Kingdom	Information Technology & Services	2004	13
PwC Italy	null	null	null	12
Deloitte	United States	Management Consulting	1845	11
Axelera AI	Netherlands	Semiconductors	2021	11
Bending Spoons	Italy	Information Technology & Services	2013	8
HRSpecialist Italia - Il Tuo Nuovo Lavoro	Italy	Human Resources	null	7
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 Artificial Intelligence Machine Learning Engineers job market in Italy, particularly in Rome, presents a challenging landscape for hiring managers. With a reported number of job openings that surpass those in countries such as Germany, France, and the Netherlands, the recruitment strategies for CTOs in Italy must be well-calibrated. The job-to-talent ratio indicates a tighter market in Italy, with limited available candidates compared to the increasing demands from the tech sector. Consequently, hiring trends suggest that sourcing qualified Senior Artificial Intelligence Machine Learning Developers will require more targeted outreach and competitive offers to attract top talent. As the future demand for Machine Learning Engineers continues to grow, the emphasis on effective hiring practices will be paramount for success.

Seniority distribution of Machine Learning Engineer job openings in Rome

Seniority Distribution of Machine Learning Engineering Jobs in Rome

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Italy, particularly in Rome, indicates a notable demand for talent. Of the current openings, 45% are classified as Mid-Senior level, suggesting a strong preference for experienced professionals. Entry-level positions account for 43%, reflecting ongoing opportunities for newcomers in the field. Notably, Associate roles represent 28% of the job market, highlighting diverse career pathways for aspiring Machine Learning Engineers.

Preferred employment type for Engineering roles in Italy

In the Italian tech sector, particularly for roles related to Artificial Intelligence and Machine Learning, the employment type distribution reveals a strong preference for Full-time positions, which constitute 95% of the market. Internships account for 5% of the opportunities, while Contract roles make up a mere 3%. These statistics highlight the dominant trend towards stable, long-term employment in the field of software development.

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 job roles in Italy indicates a significant trend in the recruitment landscape. With a majority of positions filled within 30 days, evidenced by 419 counts for this time frame, hiring managers can expect a relatively swift hiring process. However, the distribution shows notable peaks at 15 days (183 counts) and 25 days (170 counts), highlighting critical timelines for talent acquisition. Conversely, the data illustrates a substantial drop-off after 35 days, reinforcing the urgency for CTOs and Engineering Managers to implement effective recruitment strategies to attract the growing pool of Artificial Intelligence Machine Learning Engineers in Italy, particularly in 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 location distribution for Artificial Intelligence Machine Learning Engineer job openings highlights Milan as the leading city with 46% of the total relevant positions, followed by Rome at 21%. Turin represents 10% of the job market in this sector. This distribution underscores Rome's significance in the Artificial Intelligence Machine Learning job market in Italy, particularly for hiring managers focusing on the capital's opportunities.

Most sought after technologies in Rome for Machine Learning

Key technologies for Machine Learning Engineers

In the current landscape of the Artificial Intelligence Machine Learning job market in Italy, particularly in Rome, several technologies stand out due to their high frequency of usage among employers. Python is the most utilized technology, with a frequency of 8,156, indicating its central role in AI and Machine Learning projects. Following closely are SQL and Machine Learning, demonstrating their critical importance with frequencies of 3,272 and 4,640, respectively. Other notable technologies include Data Analysis, Data Science, and AWS, each playing a significant role in supporting the development and deployment of AI solutions. For a comprehensive view of technology usage, please refer to the accompanying chart.

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