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The Artificial Intelligence Machine Learning Engineer job market in Sweden Gothenburg has exhibited variable activity over the past 12 weeks. A notable increase was observed in weeks 6 and 9, with job postings reaching peaks of 22 in both instances; however, the closures in week 7 were particularly high, at 28, suggesting substantial turnover in this role. Overall, the weeks following these spikes displayed a decline in new job postings, with only 2 new positions noted in week 12. Compared to other technical roles in Gothenburg and similar positions across Europe, the fluctuation in openings and closures highlights a dynamic landscape, indicating both a significant demand for skilled AI/ML engineers and potential challenges in retention and hiring strategies for CTOs and Engineering Managers in this competitive sector.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
|
Outlier | United States of America | Software Development | null | 13 |
|
Professional Galaxy AB | Sweden | It Services And It Consulting | 2022 | 10 |
|
Sogeti | France | Information Technology & Services | 1967 | 8 |
|
Huawei Sweden | null | null | null | 8 |
|
|
Knightec Group | null | Management Consulting | null | 7 |
|
Axelera AI | Netherlands | Semiconductors | 2021 | 7 |
|
Hitachi Energy | Switzerland | Utilities | null | 7 |
|
|
Capgemini | France | Management Consulting | 1967 | 6 |
|
Redeploy | Sweden | Information Technology & Services | 2015 | 5 |
|
Qlik | United States of America | Software Development | 1993 | 5 |
The current landscape for Artificial Intelligence Machine Learning Engineers reveals a challenging hiring environment in Sweden, specifically in Gothenburg. With a job opening count of 1,000 and a talent pool of 5,000, the jobs to talent pool ratio stands at 5. In comparison, Germany boasts 2,500 job openings but a considerably larger talent pool of 20,000, yielding a more favorable ratio of 8. Meanwhile, France presents 1,800 openings against a talent pool of 12,000, resulting in a ratio of 6.5. The data suggests that while opportunities are expanding in Sweden, the relative scarcity of available talent may complicate recruitment efforts for CTOs and hiring managers in Gothenburg's tech sector.
The seniority distribution for Artificial Intelligence Machine Learning Engineering roles in Sweden Gothenburg reveals significant insights for hiring managers. The Mid-Senior level positions account for 43% of the job market, followed closely by Internship opportunities at 37%, and Entry level roles comprising 24%. This distribution highlights a robust demand for experienced candidates, while also indicating notable opportunities for emerging talent in the local job market.
In Sweden, the employment type distribution for engineering roles reveals a clear preference for full-time positions, which account for 94% of available jobs. Contract roles follow at 5%, while part-time positions represent 2% of the job market. These statistics provide valuable insights for hiring managers seeking to engage qualified Artificial Intelligence Machine Learning Engineers in Sweden, particularly in Gothenburg.
The time to hire distribution for Artificial Intelligence positions in Sweden reveals significant insights for hiring managers in Gothenburg's tech sector. A majority of candidates are recruited within 30 to 40 days, comprising 416 and 119 counts respectively, indicating a competitive market for Artificial Intelligence Machine Learning Engineers. With a notable demand, the expectation of hiring timelines extends to around 25 days for an optimal position, as evidenced by 294 counts. Additionally, recruitment strategies should consider that a swift hiring process is crucial, as 55 candidates are hired within just 5 days. For CTOs and recruiters, evaluating these trends is essential to effectively navigate the recruitment landscape for top talent in the Artificial Intelligence Machine Learning job market in Sweden, particularly in Gothenburg.
The Artificial Intelligence Engineers job market in Luxembourg is characterized by a significant talent pool, with 18 new positions posted in week 5 peaking at 37 in week 14, reflecting a competitive landscape for attracting top talent.
View ReportThe Artificial Intelligence Machine Learning Engineer job market in Sweden Gothenburg is characterized by a talent pool of approximately 5,000 candidates competing for 1,000 job openings, resulting in a jobs-to-talent pool ratio of 5.
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The Artificial Intelligence Machine Learning Engineers job market in Czechia, specifically in Brno, shows a current total of 131 job openings, reflecting a dynamic landscape that presents both challenges and opportunities for hiring managers.
View ReportIn the analysis of the job market for Artificial Intelligence Engineers in Sweden, Gothenburg stands out with 24% of the total job openings, comprising 495 positions. The capital, Stockholm, remains the dominant city with 58% of the roles, totaling 1,179 openings. Other notable cities include Uppsala and Lund, contributing 3% and 3% of the market respectively, with 140 and 127 jobs in each city. This data is visually represented in the accompanying chart.
In the competitive landscape of the Artificial Intelligence and Machine Learning job market in Sweden, particularly in Gothenburg, several key technologies emerge as the most sought after by employers. Python leads the way with the highest frequency of usage at 16,874, followed by Machine Learning at 9,584, highlighting its critical role in AI projects. SQL (7,349) and Data Analysis (4,834) are also essential, serving as foundational tools for data management and interpretation. The chart accompanying this section illustrates the prevalence of these technologies, providing a clear view into the skills that hiring managers should prioritize when considering candidates for Artificial Intelligence and Machine Learning roles.
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