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Machine Learning Developer Hiring Trends in Cambridge, United Kingdom

This report was last updated on Jul 6, 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 United Kingdom Cambridge has seen five new roles opened recently, highlighting a competitive recruitment landscape with an equal number of job closures.
  • In the region, Python remains the most sought-after technology, with 10,275 mentions, alongside SQL and Machine Learning, indicating the key skills that hiring managers should prioritize when sourcing talent.
  • Currently, 43% of Artificial Intelligence Machine Learning Engineering roles in Cambridge are at mid-senior levels, emphasizing the importance of experienced candidates and the need for hiring strategies that align with this trend.
  • London leads the job market with 36% of total openings, while Cambridge accounts for 2%, underscoring the need for tech leads and CTOs to focus on recruitment strategies that recognize urban talent concentrations.
  • The average time to hire for Artificial Intelligence Engineers in the United Kingdom is 28 days, indicating a fast-paced hiring environment where efficiency and effective recruitment tactics are essential for acquiring top talent.
Number of roles opened and closed for Machine Learning Engineers in Cambridge in the last 3 months

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

The job market for Artificial Intelligence Machine Learning Engineers in United Kingdom Cambridge has exhibited a steady trend over the recent weeks, with five new roles posted. However, there is a notable disparity in job closures, peaking at five in week 21, which indicates a challenging landscape for recruitment in this niche. Compared to other technology roles in the region, the demand for AI Machine Learning talent remains crucial yet competitive. Hiring managers and CTOs should take note of emerging trends in recruitment strategies for these positions, especially when analyzed in conjunction with similar roles across Europe.

Who else is hiring for ai Engineers in United Kingdom:

Company name Country Industry Founded # Job openings
Huawei Technologies Research & Development (UK) Ltd logo Huawei Technologies Research & Development (UK) Ltd null null null 10
Harnham logo Harnham United Kingdom Staffing & Recruiting 2006 9
Meta logo Meta United States Information Technology & Services 2004 9
Mistral AI logo Mistral AI France Information Technology & Services 2023 8
PhysicsX logo PhysicsX United Kingdom Information Technology & Services 2019 7
Canonical logo Canonical United Kingdom Information Technology & Services 2004 6
Oliver Bernard logo Oliver Bernard United Kingdom Staffing & Recruiting 2010 5
Oho Group Ltd logo Oho Group Ltd United Kingdom Staffing & Recruiting 2007 5
SR2 | Socially Responsible Recruitment | Certified B Corporation™ logo SR2 | Socially Responsible Recruitment | Certified B Corporation™ United Kingdom Information Technology & Services 2017 4
Graphcore logo Graphcore United Kingdom Semiconductors 2016 4

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Talent pool vs job openings for Artificial Intelligence Engineers in United Kingdom

How competitive it is to hire Artificial Intelligence Engineers in United Kingdom

The talent market for Artificial Intelligence Machine Learning Engineers in Europe presents a complex landscape, notably when comparing countries like the United Kingdom, Germany, and France. In the United Kingdom, recent job openings for these roles significantly surpass the size of the available talent pool, resulting in a low jobs-to-talent ratio that indicates a challenging hiring environment for CTOs and hiring managers. Conversely, Germany maintains a more balanced ratio, suggesting a more favorable landscape for recruitment. France, while experiencing a growing demand, still shows a gap between job openings and skilled candidates, although better than the UK. These discrepancies underscore the importance of tailored recruitment strategies, particularly for those seeking Artificial Intelligence Machine Learning Developer opportunities in United Kingdom Cambridge.

Seniority distribution of Machine Learning Engineer job openings in Cambridge

Seniority Distribution of Machine Learning Engineering Jobs in Cambridge

In the competitive landscape of Artificial Intelligence Machine Learning engineering jobs in United Kingdom Cambridge, the distribution of roles indicates a significant demand for experienced professionals. Currently, 43% of positions are at the Mid-Senior level, followed by 36% in Entry level roles, and 18% are Internship opportunities. This seniority distribution showcases the growing importance of skilled engineers in this sector, making it vital for hiring managers to adapt their recruitment strategies accordingly.

Chart about preferred employment type for Engineering roles in United Kingdom

Preferred employment type for Engineering roles in United Kingdom

In the United Kingdom, the employment landscape for engineering roles reveals a significant preference for full-time positions, comprising 91% of available opportunities. Contract roles account for 8% of the job market, while part-time positions represent a modest 3%. This distribution highlights the robust demand for full-time talent in the context of the Artificial Intelligence Machine Learning Engineers job market trends in United Kingdom Cambridge.

Time to Hire Distribution for Artificial Intelligence in United Kingdom

How long does it take to hire Artificial Intelligence Engineers

The time to hire for Artificial Intelligence Machine Learning Engineer roles in the United Kingdom exhibits a notable distribution. The data reveals that the majority of positions (approximately 272) are filled within a time frame of 25 days, while a significant number (303) are hired within 30 days. Conversely, there is a decreased count for longer hiring durations, with only 10 roles taking up to 100 days to fill. This insight underscores a competitive market, where swift recruitment will be critical for hiring managers aiming to secure top talent in the burgeoning Artificial Intelligence job market in United Kingdom Cambridge.

Expolore reports from other European Developer talent pools

Most popular cities in United Kingdom to hire Artificial Intelligence Engineers

Top 5 cities in United Kingdom to hire Artificial Intelligence Engineers

In the current job market for Artificial Intelligence Machine Learning Engineers, London dominates with 36% of the total job openings, followed by Leeds at 4% and Cambridge at 2%. This distribution underscores London's significant influence on the landscape, making it a critical focus for hiring managers in the tech industry, particularly for those looking to attract talent in cities like Cambridge.

Most sought after technologies in Cambridge for Machine Learning

Key technologies for Machine Learning Engineers

In the competitive landscape of the Artificial Intelligence Machine Learning job market in the United Kingdom, particularly in Cambridge, certain technologies stand out due to their frequent usage by employers. The most prominent technology is Python, leading the pack with a frequency of 10,275 mentions. Following close behind are SQL and Machine Learning, with 4,181 and 5,750 uses respectively. Other notable technologies include Data Science at 2,090, Data Analysis at 2,511, and Cloud solutions with 809 mentions. For a detailed visualization of these trends, please refer to the accompanying chart showcasing the frequency of these technologies.

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