Agency Partners

Machine Learning Developer Hiring Trends in Bern, Switzerland

This report was last updated on Aug 10, 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 Artificial Intelligence Machine Learning Engineers job market in Switzerland, particularly in Bern, is marked by a total of 5 new roles opened in the past three months, juxtaposed with a peak of 4 job closures in week 24, indicating a tightening market.
  • The current number of job openings for Artificial Intelligence Machine Learning Engineers highlights the competitive landscape, necessitating strategic recruitment approaches for hiring managers seeking to attract qualified talent.
  • The median time to hire for Artificial Intelligence Engineers in Switzerland stands at 32 days, a critical insight for CTOs and recruiters aiming to optimize their hiring processes in a fast-paced environment.
  • Bern ranks as the second most significant city for AI Engineer recruitment in Switzerland, accounting for 16% of positions, trailing only behind Zurich, which dominates with 66% of the available roles.
  • Given the current job openings significantly outpacing the talent pool, companies in Bern's tech sector, including notable firms like Gaea21, Daedalean AI, and Luxoft, are encouraged to implement tailored recruitment strategies to secure top-tier Artificial Intelligence Machine Learning Engineers.
Number of roles opened and closed for Machine Learning Engineers in Bern in the last 3 months

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

Over the past 12 weeks, the job market for Artificial Intelligence Machine Learning Engineers in Switzerland Bern has shown a mixed trajectory. Notably, a total of 5 new positions were opened during weeks 21 and 23, contrasting with a significant number of job closures that peaked at 4 in week 24. This dynamic indicates a tightening market where the demand for skilled professionals is not keeping pace with job closures. When compared to other technical roles within Switzerland Bern or more broadly across Europe, the competition for qualified Artificial Intelligence and Machine Learning talent appears to be intensifying, necessitating strategic recruitment approaches for hiring managers and CTOs.

Who else is hiring for ai Engineers in Switzerland:

Company name Country Industry Founded # Job openings
Microsoft logo Microsoft United States Information Technology & Services 1975 38
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 9
Gaea21 logo Gaea21 Switzerland Environmental Services 2005 8
WorldQuant logo WorldQuant United States Financial Services 2007 6
Daedalean AI logo Daedalean AI Switzerland Aviation & Aerospace 2016 5
Luxoft logo Luxoft Switzerland Information Technology & Services 2000 5
adesso Schweiz AG logo adesso Schweiz AG Switzerland Information Technology & Services 2007 5
NVIDIA logo NVIDIA United States Computer Hardware 1993 4
BCG Platinion logo BCG Platinion Germany Management Consulting 2000 4
EY logo EY United Kingdom Professional Training & Coaching 1989 4

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Talent pool vs job openings for Artificial Intelligence Engineers in Switzerland

How competitive it is to hire Artificial Intelligence Engineers in Switzerland

The Artificial Intelligence Machine Learning Engineers job market in Switzerland, and specifically Bern, presents unique challenges for hiring managers. With a count of job openings significantly outpacing the available talent pool, the jobs to talent pool ratio indicates a tight labor market. For instance, countries like Germany, France, and the Netherlands also exhibit strong demand but have comparatively larger talent pools, making recruitment easier in those regions. In contrast, Switzerland's scarcity of qualified candidates suggests that securing top-tier talent in Bern may prove to be a complex endeavor. Consequently, hiring managers need to adopt strategic recruitment strategies tailored to navigate Switzerland Bern's competitive tech sector.

Seniority distribution of Machine Learning Engineer job openings in Bern

Seniority Distribution of Machine Learning Engineering Jobs in Bern

In the Artificial Intelligence Machine Learning job market in Switzerland, particularly in Bern, the distribution of seniority levels reveals valuable insights for hiring managers. Entry level positions make up 42% of the total opportunities, showcasing a significant influx of new talent. Mid-Senior level roles account for 29%, reflecting a competitive landscape for candidates with intermediate experience. Additionally, internships represent 18% of available positions, indicating robust opportunities for organizations aiming to nurture future talent in this sector.

Chart about preferred employment type for Engineering roles in Switzerland

Preferred employment type for Engineering roles in Switzerland

In the Swiss job market for engineering roles, Full-time positions dominate at 90%, followed by Part-time roles at 8% and Contract opportunities at 6%. This highlights a strong preference for stable employment types among professionals in the technology sector, particularly for Artificial Intelligence Machine Learning Engineers in Switzerland, Bern.

Time to Hire Distribution for Artificial Intelligence in Switzerland

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineers in Switzerland indicates significant variation, crucial for hiring managers in Bern’s tech sector. Most positions, 286 in total, take approximately 30 days to fill, reflecting the high demand in the Artificial Intelligence Machine Learning job market. Additionally, a noteworthy count of 163 roles is filled within the 10-day range, suggesting a strategic opportunity for CTOs to streamline their recruitment processes. Understanding these hiring trends is vital for navigating the future demand for Machine Learning Engineers in this competitive landscape.

Expolore reports from other European Developer talent pools

Most popular cities in Switzerland to hire Artificial Intelligence Engineers

Top 5 cities in Switzerland to hire Artificial Intelligence Engineers

In Switzerland, the city of Zurich leads the Artificial Intelligence Machine Learning Engineers job market, accounting for 66% of the total positions available. The capital city, Bern, follows with a significant share of 16%, while Basel and Geneva contribute 13% and 11% respectively. This data, as illustrated in the accompanying chart, highlights the importance of Zurich in the tech landscape and the noteworthy role Bern plays in the recruitment of Artificial Intelligence professionals.

Most sought after technologies in Bern for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in Switzerland, particularly in Bern, several key technologies are frequently utilized by employers. Python leads the pack with a notable frequency of 7,675, solidifying its role as the primary programming language for Machine Learning applications. Following closely are SQL and Machine Learning itself, with frequencies of 3,076 and 4,406 respectively, indicating a robust focus on data management and algorithm implementation. Additionally, the popularity of Data Science (1,623) and AI technologies (2,709) showcases the growing demand for professionals who can leverage data-driven insights. This trend is illustrated clearly in the accompanying chart, which provides a visual representation of the technology usage frequency among job postings in the sector.

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