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Machine Learning Developer Hiring Trends in Gothenburg, Sweden

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 job market for Artificial Intelligence Machine Learning Engineers in Gothenburg, Sweden, is characterized by fluctuating activity, with a notable peak of 21 new job openings in week 21, yet a concerning trend of increasing role closures, suggesting a highly competitive environment for talent acquisition.
  • The talent pool for Artificial Intelligence Machine Learning Engineers is being met with a rising number of job openings totaling 572 in Gothenburg, representing 24% of the national market, while the competition intensifies due to a steady influx of closed positions.
  • Companies actively hiring include Knightec, Knowit, and Professional Galaxy AB, reflecting the demand for skilled professionals, while hiring managers should note the competitive landscape necessitating innovative recruitment strategies for attracting candidates.
  • The majority of roles are concentrated in the Mid-Senior category, with 68% of jobs targeting experienced individuals, while Entry-level opportunities comprise 25%, indicating a strong foundation for emerging talent but emphasizing the demand for seasoned developers.
  • The median time to hire for Artificial Intelligence Machine Learning Engineers stands at 32 days, underscoring the need for prompt recruitment processes amidst a tightening job market, which can influence hiring decisions for CTOs and engineering managers.
Number of roles opened and closed for Machine Learning Engineers in Gothenburg in the last 3 months

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

In Sweden Gothenburg, the job market for Artificial Intelligence Machine Learning Engineers has displayed fluctuating activity over the past 12 weeks. Notably, while week 21 saw a spike with 21 new openings, subsequent weeks have revealed inconsistency, with only 1 new job listed in both week 28 and week 30. Conversely, the trend of closed positions has been steadily increasing, peaking at 10 closures in week 28. This growing number of closed roles suggests a competitive landscape where talent is filtered rapidly. When compared to other technology roles in the region or similar roles across Europe, the volatility in openings versus closures for Artificial Intelligence Machine Learning positions indicates a pressing need for strategic recruitment practices to attract and retain skilled professionals.

Who else is hiring for ai Engineers in Sweden:

Company name Country Industry Founded # Job openings
Knightec logo Knightec Sweden Information Technology & Services 2003 6
Knowit logo Knowit Sweden Information Technology & Services 1990 6
Professional Galaxy AB logo Professional Galaxy AB Sweden Information Technology & Services 2022 6
Sogeti logo Sogeti France Information Technology & Services 1967 5
Capgemini logo Capgemini France Management Consulting 1967 5
Axelera AI logo Axelera AI Netherlands Semiconductors 2021 5
Försäkringskassan logo Försäkringskassan Sweden Government Administration null 4
Huawei Sweden logo Huawei Sweden null null null 4
Nexer Insight logo Nexer Insight null null null 4
Embark Studios logo Embark Studios Sweden Computer Games 2018 3

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Talent pool vs job openings for Artificial Intelligence Engineers in Sweden

How competitive it is to hire Artificial Intelligence Engineers in Sweden

The job market for Artificial Intelligence Machine Learning Engineers in Europe reflects a dynamic and competitive landscape. In Sweden, specifically Gothenburg, the number of job openings compared to the available talent pool suggests a challenging hiring environment. For instance, Sweden has a ratio of talent pool to job openings that indicates a tight market, similar to trends observed in countries like Germany and France, where demand for skilled developers surpasses supply. Conversely, countries such as Poland demonstrate a more favorable ratio for hiring, highlighting significant differences across the continent. As a result, hiring managers in Sweden's tech sector must adopt innovative recruitment strategies, particularly when looking for Senior Artificial Intelligence Machine Learning Developers, to navigate these competitive conditions.

Seniority distribution of Machine Learning Engineer job openings in Gothenburg

Seniority Distribution of Machine Learning Engineering Jobs in Gothenburg

In the competitive job market for Artificial Intelligence Machine Learning Engineers in Sweden Gothenburg, the seniority distribution reveals significant trends. Currently, 68% of positions are at the Mid-Senior level, making it the most prevalent seniority category. Entry-level opportunities comprise 25%, while Internship roles represent 20%. This distribution highlights the strong demand for experienced professionals while providing a solid foundation for emerging talent in the local tech landscape.

Chart about preferred employment type for Engineering roles in Sweden

Preferred employment type for Engineering roles in Sweden

In the Swedish job market, the majority of engineering roles are offered on a full-time basis, accounting for 95% of the total employment type distribution. Contract positions comprise 5% of the market, while part-time roles represent approximately 3%. This distribution highlights the strong preference for stable, full-time employment among Artificial Intelligence and Machine Learning Engineers in Sweden, particularly in Gothenburg.

Time to Hire Distribution for Artificial Intelligence in Sweden

How long does it take to hire Artificial Intelligence Engineers

The time to hire distribution for Artificial Intelligence Machine Learning Engineers in Sweden presents critical insights for hiring managers. A significant portion of candidates, approximately 282 positions, sees a time to hire of 10 days, highlighting a rapid onboarding process in this sector. Additionally, 231 roles require 20 days, emphasizing a sustained demand for skilled talent. As times increase to 30 days, the count stands at 254, suggesting a competitive job market where prompt recruitment strategies are essential. For hiring managers in Gothenburg, understanding these trends can greatly influence recruitment planning and enhance competitive positioning in attracting top developers.

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Most popular cities in Sweden to hire Artificial Intelligence Engineers

Top 5 cities in Sweden to hire Artificial Intelligence Engineers

In Sweden, the landscape for Artificial Intelligence Machine Learning Engineers reveals a significant concentration of job openings in major cities. Stockholm leads the way with 1,383 positions, accounting for 59% of the total job market. Gothenburg follows as the second largest hub with 572 openings, representing 24% of the opportunities, while Uppsala trails with 7%. This data highlights the prominence of the capital city in the overall job distribution, as illustrated in the accompanying chart.

Most sought after technologies in Gothenburg for Machine Learning

Key technologies for Machine Learning Engineers

In the current job market for Artificial Intelligence and Machine Learning Engineers in Sweden, particularly in Gothenburg, several technologies are prevalent. Python leads as the most commonly used language, with a significant frequency of 7,675, offering robust libraries for AI and ML development. Following closely are SQL and Machine Learning frameworks, which have frequencies of 3,076 and 4,406 respectively, highlighting the importance of data management and modeling in these roles. Other notable technologies include R, Cloud computing, and Data Engineering, with frequencies of 716, 635, and 791 respectively. This trend is illustrated in the accompanying chart, which provides a visual representation of the frequency of these technologies in the job market.

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