The table below provides summary statistics for permanent job vacancies advertised in Wokingham requiring Virtual Machines skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Virtual Machines over the 6 months leading up to 12 May 2025, comparing them to the same period in the previous two years.
6 months to 12 May 2025
Same period 2024
Same period 2023
Rank
5
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Virtual Machines
2
0
0
As % of all permanent jobs advertised in Wokingham
Virtual Machines falls under the System Software category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring system software skills in Wokingham.
Permanent vacancies with a requirement for system software skills
3
6
1
As % of all permanent jobs advertised in Wokingham
6.82%
9.38%
2.22%
Number of salaries quoted
3
5
1
10th Percentile
£84,500
-
-
25th Percentile
£89,375
£29,000
£21,250
Median annual salary (50th Percentile)
£105,000
£40,000
£22,500
Median % change year-on-year
+162.50%
+77.78%
-50.00%
75th Percentile
£112,500
£52,500
£23,750
90th Percentile
-
£78,000
-
Berkshire median annual salary
£70,000
£55,000
£49,875
% change year-on-year
+27.27%
+10.28%
-0.25%
Virtual Machines Job Vacancy Trend in Wokingham
Job postings citing Virtual Machines as a proportion of all IT jobs advertised in Wokingham.
Virtual Machines Salary Trend in Wokingham
3-month moving average salary quoted in jobs citing Virtual Machines in Wokingham.
Virtual Machines Top 19 Co-occurring Skills and Capabilities in Wokingham
For the 6 months to 12 May 2025, job vacancies citing Virtual Machines 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 Wokingham region with a requirement for Virtual Machines.
Virtual Machines Co-occurring Skills and Capabilities in Wokingham 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:
