The table below provides summary statistics for contract job vacancies advertised in Winchester requiring Virtual Machines skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Virtual Machines over the 6 months leading up to 25 June 2025, comparing them to the same period in the previous two years.
6 months to 25 Jun 2025
Same period 2024
Same period 2023
Rank
8
-
-
Rank change year-on-year
-
-
-
Contract jobs citing Virtual Machines
1
0
0
As % of all contract jobs advertised in Winchester
Virtual Machines falls under the System Software category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring system software skills in Winchester.
Contract vacancies with a requirement for system software skills
6
11
1
As % of all contract IT jobs advertised in Winchester
24.00%
18.97%
5.00%
Number of daily rates quoted
4
2
1
10th Percentile
£289
£361
-
25th Percentile
£441
£378
£130
Median daily rate (50th Percentile)
£550
£410
£140
Median % change year-on-year
+34.15%
+192.86%
-22.22%
75th Percentile
£597
£448
£150
90th Percentile
£635
£467
-
Hampshire median daily rate
£575
£550
£525
% change year-on-year
+4.55%
+4.76%
+5.00%
Virtual Machines Job Vacancy Trend in Winchester
Job postings citing Virtual Machines as a proportion of all IT jobs advertised in Winchester.
Virtual Machines Contractor Daily Rate Trend in Winchester
3-month moving average daily rate quoted in jobs citing Virtual Machines in Winchester.
Virtual Machines Top 6 Co-occurring Skills and Capabilities in Winchester
For the 6 months to 25 June 2025, contractor 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 contract job ads across the Winchester region with a requirement for Virtual Machines.
Virtual Machines Co-occurring Skills and Capabilities in Winchester 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:
