The following table provides summary statistics for permanent job vacancies advertised in Uxbridge with a requirement for Machine Learning skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Machine Learning over the 6 months to 3 May 2024 with a comparison to the same period in the previous 2 years.
Machine Learning is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Uxbridge with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
67
105
119
As % of all permanent jobs advertised in Uxbridge
90.54%
96.33%
73.91%
Number of salaries quoted
31
78
78
10th Percentile
£28,000
£39,000
£43,957
25th Percentile
£36,000
£44,500
£45,000
Median annual salary (50th Percentile)
£40,000
£49,343
£53,750
Median % change year-on-year
-18.94%
-8.20%
-17.31%
75th Percentile
-
£52,076
£84,375
90th Percentile
£52,500
£70,750
£100,275
Hillingdon median annual salary
£40,000
£48,687
£52,500
% change year-on-year
-17.84%
-7.26%
-19.23%
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 23 Co-occurring Skills and Capabilities in Uxbridge
For the 6 months to 3 May 2024, 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:
