The following table provides summary statistics for permanent job vacancies advertised in Middlesex with a requirement for Virtual Machines skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Virtual Machines over the 6 months to 16 April 2024 with a comparison to the same period in the previous 2 years.
6 months to 16 Apr 2024
Same period 2023
Same period 2022
Rank
41
27
32
Rank change year-on-year
-14
+5
-
Permanent jobs citing Virtual Machines
4
6
2
As % of all permanent jobs advertised in Middlesex
Virtual Machines is in the System Software category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Middlesex with a requirement for system software skills.
Permanent vacancies with a requirement for system software skills
43
14
34
As % of all permanent jobs advertised in Middlesex
19.28%
9.40%
34.00%
Number of salaries quoted
13
14
17
10th Percentile
-
-
-
25th Percentile
£32,500
£47,500
-
Median annual salary (50th Percentile)
£40,000
£58,750
£50,000
Median % change year-on-year
-31.91%
+17.50%
-
75th Percentile
£43,750
£91,250
-
90th Percentile
£44,350
-
£55,000
South East median annual salary
£46,500
£47,500
£51,000
% change year-on-year
-2.11%
-6.86%
+2.00%
Virtual Machines Job Vacancy Trend in Middlesex
Job postings citing Virtual Machines as a proportion of all IT jobs advertised in Middlesex.
Virtual Machines Salary Trend in Middlesex
3-month moving average salary quoted in jobs citing Virtual Machines in Middlesex.
Virtual Machines Top 22 Co-occurring Skills and Capabilities in Middlesex
For the 6 months to 16 April 2024, 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 Middlesex region with a requirement for Virtual Machines.
Virtual Machines Co-occurring Skills and Capabilities in Middlesex 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:
