The following table provides summary statistics for permanent job vacancies advertised in Wolverhampton 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 2 May 2024 with a comparison to the same period in the previous 2 years.
6 months to 2 May 2024
Same period 2023
Same period 2022
Rank
31
32
-
Rank change year-on-year
+1
-
-
Permanent jobs citing Machine Learning
2
18
0
As % of all permanent jobs advertised in Wolverhampton
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 Wolverhampton with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
142
238
84
As % of all permanent jobs advertised in Wolverhampton
95.30%
97.14%
92.31%
Number of salaries quoted
114
82
57
10th Percentile
£24,000
£29,750
£26,250
25th Percentile
£35,938
£36,375
£27,500
Median annual salary (50th Percentile)
£53,500
£50,000
£45,000
Median % change year-on-year
+7.00%
+11.11%
-
75th Percentile
£62,500
£57,500
£52,500
90th Percentile
£70,000
£70,000
£61,500
West Midlands median annual salary
£50,000
£53,000
£50,000
% change year-on-year
-5.66%
+6.00%
+5.26%
Machine Learning Job Vacancy Trend in Wolverhampton
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Wolverhampton.
Machine Learning Top 18 Co-occurring Skills and Capabilities in Wolverhampton
For the 6 months to 2 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 Wolverhampton region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in Wolverhampton 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:
