Machine Learning Developer Hiring Trends in Nice, Monaco

This report was last updated on Jul 20, 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 current job market for Artificial Intelligence Machine Learning Engineers in Monaco Nice has shown notable stagnation, with a peak of three closed positions in a single week and no new job openings recorded, raising concerns about the future demand for talent in this specialization.
Of the Artificial Intelligence Machine Learning job openings, Nice leads with 60% of listings, followed by Valbonne at 21% and Sophia Antipolis at 16%, indicating that location plays a crucial role in recruitment strategies for CTOs and Engineering Managers.
With 15 available candidates per job opening, Monaco exhibits a favorable hiring environment compared to surrounding countries, where competition for skilled professionals is increasing, making it essential for tech leaders to adjust their recruitment strategies accordingly.
A significant portion of job openings in Monaco's engineering sector (92%) are full-time positions, emphasizing the preference for stability among hiring managers, while only 5% are internships, indicating a limited entry path for emerging talent.
The median time to hire for Artificial Intelligence Engineers in Monaco is 35 days, with 25 positions filled within 30 days, reflecting an active recruitment landscape but also highlighting the need for hiring managers to be prepared for potential hiring cycles extending up to 105 days.

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

In recent weeks, the job market for Artificial Intelligence Machine Learning Engineers in Monaco Nice has shown a notable trend characterized by consistent job closures, with the number of closed positions reaching a peak of three in a single week. Despite this, no new job postings have been recorded for the same roles, indicating a stagnation in the market as compared to previous hiring activity. In contrast, other roles within Monaco Nice have demonstrated more robust recruitment activity, highlighting a potential gap in talent acquisition for this specific specialization. Compared to other European cities, where demand for Artificial Intelligence Machine Learning professionals has been on the rise, the current situation in Monaco Nice raises concerns for CTOs and hiring managers about the future demand for such talent in this region.

Who else is hiring for ai Engineers in Monaco:

Company name	Country	Industry	Founded	# Job openings
Canonical	United Kingdom	Information Technology & Services	2004	3
Arm	United Kingdom	Semiconductors	1990	2
Datadog	United States	Information Technology & Services	2010	1
Exakis Nelite	France	Information Technology & Services	2001	1
Thales	France	Information Technology & Services	1893	1
Agoda	Singapore	Information Technology & Services	2005	1
Département des alpes maritimes	France	Government Administration	null	1
EDHEC Investment Club	null	null	null	1
Groupe SII	France	Information Technology & Services	1979	1
Axelera AI	Netherlands	Semiconductors	2021	1

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Talent pool vs job openings for Artificial Intelligence Engineers in Monaco

How competitive it is to hire Artificial Intelligence Engineers in Monaco

The talent market for Artificial Intelligence Machine Learning Engineers in Europe presents varying levels of accessibility, significantly influenced by the number of job openings and the available talent pool. For instance, Monaco has a notably high ratio of 15 available candidates for each job opening, suggesting a relatively favorable hiring environment. In contrast, neighboring countries like France and Germany reveal tighter ratios, with 10 and 8 candidates per opening, respectively, indicating a growing competition for skilled professionals. Meanwhile, the UK demonstrates an even more challenging landscape, with only 6 applicants for each position. Thus, while Monaco offers a promising opportunity for hiring managers, the overall demand in Europe may complicate recruitment strategies for CTOs and Engineering Managers seeking to fill roles in this specialized field.

Seniority distribution of Machine Learning Engineer job openings in Nice

Seniority Distribution of Machine Learning Engineering Jobs in Nice

The seniority distribution of Artificial Intelligence Machine Learning Engineering jobs in Monaco Nice reveals that 44% of positions are at the Mid-Senior level, followed by 28% at the Entry level and 24% in Internship roles. This trend highlights a significant demand for experienced professionals while also providing opportunities for new entrants in the field.

Preferred employment type for Engineering roles in Monaco

In Monaco's engineering sector, the employment type distribution reveals that 92% of positions are classified as full-time, highlighting a strong preference for stability among hiring managers. Internships account for 5% of the job market, providing opportunities for emerging talent, while contract roles make up 3%, indicating a potential trend towards flexible employment arrangements. This distribution is essential for CTOs and hiring managers to consider when strategizing recruitment in the Artificial Intelligence Machine Learning Engineer job market.

Time to Hire Distribution for Artificial Intelligence in Monaco

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning roles in Monaco indicates a diverse hiring landscape. Notably, the majority of candidates (25) are hired within 30 days, suggesting an active recruitment process. As hiring managers strategize for roles such as Senior Artificial Intelligence Machine Learning Developers, it's essential to recognize that a significant concentration occurs between 20 and 35 days. This trend reflects the growing competition for talent in Monaco Nice's tech sector, necessitating strategic recruitment approaches from CTOs and engineers alike. It is imperative for hiring managers to be prepared for a hiring cycle that can extend up to 105 days, as opportunities in this field continue to evolve.

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Most popular cities in Monaco to hire Artificial Intelligence Engineers

Top 5 cities in Monaco to hire Artificial Intelligence Engineers

In the job market for Artificial Intelligence Machine Learning Engineers in Monaco Nice, Nice stands out with 60% of openings, making it the leading city in this sector. Valbonne follows with 21%, while Sophia Antipolis comprises 16% of the job opportunities. Notably, Monaco itself represents only 9% of the total listings, which is highlighted in the accompanying chart.

Most sought after technologies in Nice for Machine Learning

Key technologies for Machine Learning Engineers

In the rapidly evolving landscape of the Artificial Intelligence Machine Learning job market in Monaco Nice, several technologies are proven to be paramount. Python leads as the most utilized programming language with a frequency of 9,008, followed by Machine Learning itself, which has a notable frequency of 5,056. SQL and Data Analysis are also prominent, with respective frequencies of 3,637 and 2,107, underscoring their importance in data handling. Additionally, Cloud technologies, including AWS, are essential due to their role in deploying AI solutions, showing frequencies of 721 and 998, respectively. This data is further illustrated in the accompanying chart, showcasing the frequency of these in-demand technologies.

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