Agency Partners
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Over the past 12 weeks, the job market for Machine Learning Engineers in the United Kingdom has exhibited significant fluctuations. In week 5 alone, there were 236 new Machine Learning job postings, which stands out amidst a relatively high closure rate peaking at 358 jobs closed in week 3. Comparatively, this role experiences a higher demand in the broader European context, where a record 2980 new jobs were posted in the same week. This pattern indicates a burgeoning but volatile landscape for Machine Learning roles in the UK, suggesting that hiring managers, especially CTOs and Engineering Managers, must adopt agile recruitment strategies to secure top talent amidst varying job availability and closure rates.
| Company name | Country | Industry | Founded | # Job openings | |
|---|---|---|---|---|---|
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Meta | United States of America | Software Development | null | 11 |
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Roku | United States of America | Software Development | 2002 | 10 |
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Huawei Technologies Research & Development (UK) Ltd | null | null | null | 8 |
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Harnham | United Kingdom | Staffing And Recruiting | 2006 | 6 |
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GRAYCE | United Kingdom | Management Consulting | 2012 | 6 |
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Point72 | United States | Financial Services | 2014 | 5 |
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Starling Bank | United Kingdom | Banking | 2014 | 5 |
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Autodesk | United States of America | Software Development | 1982 | 4 |
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Mistral AI | France | Information Technology & Services | 2023 | 4 |
|
PhysicsX | United Kingdom | Software Development | null | 4 |
The talent market for Machine Learning Engineers in Europe presents a varied landscape, particularly when focusing on the United Kingdom. With the UK housing a considerable number of job openings, the ratio of available talent to job listings indicates a competitive environment; currently, there are 2.5 candidates per position. In comparison, Germany showcases an even tighter ratio at 2 candidates per job opening, suggesting heightened competition, while France reflects a more favorable environment for hiring with a ratio of 3.2. This data signifies that recruitment strategies for CTOs and hiring managers in the United Kingdom's tech sector must be agile and innovative to secure top Machine Learning talent, amidst increasing demand and rising hiring trends across Europe's technology landscape.
In the United Kingdom, the seniority distribution of Machine Learning Engineering jobs reveals distinct trends relevant for hiring managers. Mid-Senior level positions dominate the landscape, accounting for 46% of the job market. Entry level roles represent 30%, while internships make up 14%. These insights into the Machine Learning job market in the United Kingdom illustrate the current hiring landscape and the future demand for Machine Learning Engineers.
In the United Kingdom, the employment type distribution for engineering roles reflects a predominant preference for full-time positions, which constitute 91% of the market. Contract roles represent a smaller segment at 8%, followed by internships at just 1%. This distribution signals to hiring managers the necessity of aligning their recruitment strategies with the prevailing market trends, particularly as they seek to attract top Machine Learning Engineers.
The time to hire for Machine Learning jobs in the United Kingdom reveals significant insights into the competitive landscape. Data indicates a peak in hiring activity, with 460 instances reported at a 30-day timeframe. Hiring continues to be competitive beyond this mark, with notable counts of 371 at 45 days and 328 at 25 days. This suggests that CTOs and hiring managers should anticipate a minimum hiring window of approximately 30 days to secure qualified Machine Learning Engineers. Understanding these hiring trends is essential for developing effective recruitment strategies tailored to the UK’s tech sector.
The Machine Learning Engineers job market in Armenia reflects a dynamic landscape with distinct trends crucial for hiring managers and CTOs.
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The Machine Learning Engineers job market in Lithuania has shown significant fluctuations over the past three months, with a notable demand spike in week 5 leading to 48 new positions, contrasted by a decline to just one posting by week 14.
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The Machine Learning job market in Luxembourg has shown significant fluctuations over the past three months, with a total of 31 new roles posted in week 7, while 28 positions were closed shortly thereafter, indicating a highly dynamic and competitive recruitment landscape.
View ReportIn the United Kingdom, the demand for Machine Learning Engineers is primarily concentrated in key cities. London leads the market with 1802 job openings, representing 64% of the total, followed by Leeds with 318 positions, accounting for 11%. Cambridge ranks third with 145 openings, comprising 5% of the overall job distribution. These statistics highlight the capital's dominance in the Machine Learning job market while indicating regional opportunities for recruitment.
In the rapidly evolving Machine Learning job market in the United Kingdom, several core technologies dominate. Python leads the pack with a frequency of 18,881, underscoring its pivotal role in Machine Learning development. Following closely is SQL, utilized in 8,292 roles, highlighting the importance of database management in data-driven environments. AI technologies rank next with a frequency of 7,284, emphasizing the integration of artificial intelligence in Machine Learning applications. Moreover, Machine Learning itself has a significant presence, appearing in 10,850 job postings, showcasing its centrality in today's software projects. This data is further illustrated in the accompanying chart, which delineates the most commonly utilized technologies in the field.
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