The table below provides summary statistics for permanent job vacancies advertised in Liverpool 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 27 May 2025, comparing them to the same period in the previous two years.
6 months to 27 May 2025
Same period 2024
Same period 2023
Rank
41
85
45
Rank change year-on-year
+44
-40
+43
Permanent jobs citing Virtual Machines
1
4
48
As % of all permanent jobs advertised in Liverpool
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 Liverpool.
Permanent vacancies with a requirement for system software skills
18
78
207
As % of all permanent jobs advertised in Liverpool
6.74%
7.00%
22.40%
Number of salaries quoted
12
63
79
10th Percentile
£30,775
£22,650
£27,463
25th Percentile
£43,938
£26,875
£37,500
Median annual salary (50th Percentile)
£46,000
£40,000
£44,000
Median % change year-on-year
+15.00%
-9.09%
+17.33%
75th Percentile
-
£48,875
£59,750
90th Percentile
-
£61,250
£86,250
Merseyside median annual salary
£46,000
£40,000
£42,500
% change year-on-year
+15.00%
-5.88%
+13.33%
Virtual Machines Job Vacancy Trend in Liverpool
Job postings citing Virtual Machines as a proportion of all IT jobs advertised in Liverpool.
Virtual Machines Salary Trend in Liverpool
3-month moving average salary quoted in jobs citing Virtual Machines in Liverpool.
Virtual Machines Top 30 Co-occurring Skills and Capabilities in Liverpool
For the 6 months to 27 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 Liverpool region with a requirement for Virtual Machines.
Virtual Machines Co-occurring Skills and Capabilities in Liverpool 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:
