The table below provides summary statistics for permanent job vacancies advertised in Uxbridge requiring Machine Learning skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Machine Learning over the 6 months leading up to 22 June 2025, comparing them to the same period in the previous two years.
Machine Learning falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Uxbridge.
Permanent vacancies with a requirement for process or methodology skills
31
76
91
As % of all permanent jobs advertised in Uxbridge
96.88%
91.57%
97.85%
Number of salaries quoted
13
30
64
10th Percentile
£42,700
£28,000
£34,363
25th Percentile
£61,250
£33,375
£43,688
Median annual salary (50th Percentile)
£70,000
£40,000
£48,687
Median % change year-on-year
+75.00%
-17.84%
-18.86%
75th Percentile
£80,000
-
£52,813
90th Percentile
£84,000
£41,900
£56,874
Hillingdon median annual salary
£62,500
£40,000
£48,687
% change year-on-year
+56.25%
-17.84%
-15.69%
Machine Learning Job Vacancy Trend in Uxbridge
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Uxbridge.
Machine Learning Salary Trend in Uxbridge
3-month moving average salary quoted in jobs citing Machine Learning in Uxbridge.
Machine Learning Top 14 Co-occurring Skills and Capabilities in Uxbridge
For the 6 months to 22 June 2025, job vacancies citing Machine Learning also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Uxbridge region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in Uxbridge by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
