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Machine Learning Developer Hiring Trends in Toulouse, France

This report was last updated on May 31, 2025

Bence Gedai / Founder

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 France, particularly in Toulouse, is witnessing significant fluctuations, presently reflecting a competitive yet unstable market.
  • Over the past 12 weeks, only 7 roles have been opened in Toulouse, contrasting sharply with the closure of 15 positions, indicating challenges in retaining qualified talent and necessitating adaptive recruitment strategies.
  • Top companies actively hiring for Artificial Intelligence Machine Learning Engineer positions include Mistral AI (France), Canonical (UK), and Meta (USA), showcasing a diverse landscape within the tech industry.
  • The median time to hire for Artificial Intelligence Engineers in France is currently set at 34 days, underscoring the need for hiring managers to streamline their recruitment processes to secure top talent promptly.
  • Full-time employment remains the preferred employment type in France, representing 93% of available positions, suggesting that hiring managers focused on Artificial Intelligence Machine Learning roles should emphasize stable job offerings to attract qualified candidates.
Number of roles opened and closed for Machine Learning Engineers in Toulouse in the last 3 months

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

The data indicates a fluctuating landscape for Artificial Intelligence Machine Learning Engineer roles in France Toulouse over the past 12 weeks. Notably, only 7 jobs were opened, with significant peaks in week 10 when 4 positions were posted. Conversely, the closure of 15 roles highlights a growing challenge in retaining talent, with a notable increase in closed jobs observed in recent weeks. When compared to other tech roles in Toulouse, these figures suggest that demand for Artificial Intelligence Machine Learning positions remains competitive yet unstable. In the broader European context, similar trends are echoed, indicating that recruitment strategies for CTOs and hiring managers must adapt swiftly to this evolving job market.

Who else is hiring for ai Engineers in France:

Company name Country Industry Founded # Job openings
Canonical logo Canonical United Kingdom Information Technology & Services 2004 14
Mistral AI logo Mistral AI France Information Technology & Services 2023 12
Meta logo Meta United States Information Technology & Services 2004 8
Kicklox logo Kicklox France Information Technology & Services 2015 7
Dynamo AI logo Dynamo AI United States of America Software Development 2021 7
Thales logo Thales France Information Technology & Services 1893 6
Doctolib logo Doctolib France Information Technology & Services 2013 6
Aubay logo Aubay France Information Technology & Services 1998 5
Criteo logo Criteo France Marketing & Advertising 2005 5
Devoteam Data Driven logo Devoteam Data Driven null null null 5

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Talent pool vs job openings for Artificial Intelligence Engineers in France

How competitive it is to hire Artificial Intelligence Engineers in France

The talent market for Artificial Intelligence Machine Learning Engineers across Europe presents diverse challenges and opportunities. In France, particularly in Toulouse, the ratio of job openings to the available talent pool indicates a competitive hiring environment, with a jobs-to-talent pool ratio suggesting a medium to high demand for skilled professionals. Comparatively, countries like Germany and the Netherlands exhibit a similar trend, where the number of job openings significantly outpaces the talent supply, making recruitment increasingly challenging for CTOs and hiring managers. Meanwhile, in Spain, the job market signals a more favorable balance, but the overall landscape across Europe aligns with a rising demand for Artificial Intelligence Machine Learning Developers. This scenario necessitates innovative recruitment strategies to attract top-tier talent in countries like France.

Seniority distribution of Machine Learning Engineer job openings in Toulouse

Seniority Distribution of Machine Learning Engineering Jobs in Toulouse

In the competitive landscape of the Artificial Intelligence Machine Learning job market in France, specifically Toulouse, the seniority distribution reveals that 48% of roles are categorized as Mid-Senior level, while 32% are internships and 20% are entry-level positions. This distribution indicates a strong demand for experienced professionals, suggesting that hiring managers should consider targeted recruitment strategies to attract talent across these seniority levels. Understanding these trends is crucial for CTOs and Engineering Managers aiming to fill critical positions within their tech teams.

Chart about preferred employment type for Engineering roles in France

Preferred employment type for Engineering roles in France

In the current landscape of the engineering job market in France, full-time positions dominate, accounting for 93% of roles. Internships represent 5% of opportunities, while contract positions make up 2% of the employment type distribution. These figures highlight the strong preference for stable, long-term employment in the field, particularly relevant for hiring managers aiming to attract Artificial Intelligence Machine Learning Engineers in France, especially in Toulouse.

Time to Hire Distribution for Artificial Intelligence in France

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer positions in France demonstrates a varied landscape indicative of current market trends. Notably, the most common hiring timeframe ranges between 25 to 30 days, with a significant count of 216 and 427 respectively, aligning with emerging trends in Artificial Intelligence Machine Learning Developer opportunities. As technology managers and recruiters in France and Toulouse navigate this competitive hiring environment, understanding these distributions, particularly the peak around 30 days, is crucial for developing effective recruitment strategies. Additionally, with 47% of candidates being hired within 40 days, organizations should adjust their timelines and approaches to attract the best talent in the Artificial Intelligence and Machine Learning sectors.

Expolore reports from other European Developer talent pools

Most popular cities in France to hire Artificial Intelligence Engineers

Top 5 cities in France to hire Artificial Intelligence Engineers

The location distribution for Artificial Intelligence Engineers job openings in France highlights significant opportunities, particularly in Paris, which accounts for 87% of the available positions. Following Paris, Lyon and Toulouse represent 8% and 5% of the job market respectively. This data underscores the concentration of roles in the capital, making it a focal point for recruitment strategies targeting Artificial Intelligence Machine Learning Engineers. Please refer to the accompanying chart for a visual representation of this data.

Most sought after technologies in Toulouse for Machine Learning

Key technologies for Machine Learning Engineers

In the evolving Artificial Intelligence Machine Learning job market in France, particularly in Toulouse, several technologies have emerged as dominant players. Notably, Python dominates with a frequency of 13,232, followed by Machine Learning at 7,567, signifying strong demand for professionals skilled in these areas. Additionally, SQL (5,642) and AI (5,098) are critical skill sets that hiring managers should prioritize. Other noteworthy technologies include Java (1,528), Cloud (1,109), and Data Engineering (1,062), which collectively reflect the diverse technical landscape. For a detailed view of these trends, please refer to the accompanying chart.

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