The table below provides summary statistics and contractor rates for jobs advertised in Winchester requiring Machine Learning skills. It covers contract job vacancies from the 6 months leading up to 5 November 2025, with comparisons to the same periods in the previous two years.
Machine Learning falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all contract job vacancies requiring process or methodology skills in Winchester.
Contract vacancies with a requirement for process or methodology skills
16
23
25
As % of all contract IT jobs advertised in Winchester
84.21%
69.70%
83.33%
Number of daily rates quoted
13
17
7
10th Percentile
£170
£295
£345
25th Percentile
£188
£418
£386
Median daily rate (50th Percentile)
£475
£500
£405
Median % change year-on-year
-5.00%
+23.46%
-23.00%
75th Percentile
£575
£575
£675
90th Percentile
£738
£593
£785
Hampshire median daily rate
£525
£551
£538
% change year-on-year
-4.68%
+2.47%
+2.38%
Number of hourly rates quoted
0
0
1
10th Percentile
-
-
-
25th Percentile
-
-
£22.50
Median hourly rate
-
-
£25.00
Median % change year-on-year
-
-
+66.67%
75th Percentile
-
-
£27.50
90th Percentile
-
-
-
Hampshire median hourly rate
£20.71
£67.50
£51.96
% change year-on-year
-69.32%
+29.91%
+15.47%
Machine Learning Job Vacancy Trend in Winchester
Historical trend showing the proportion of contract IT job postings citing Machine Learning relative to all contract IT jobs advertised in Winchester.
Machine Learning Top 23 Co-Occurring Skills & Capabilities in Winchester
For the 6 months to 5 November 2025, contractor job vacancies citing Machine Learning also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all contract job ads across the Winchester region with a requirement for Machine Learning.
Machine Learning Co-Occurring Skills & Capabilities in Winchester by Category
The following tables expand on the one above by listing co-occurrences grouped by category. They cover the same employment type, locality and period, with up to 20 co-occurrences shown in each category:
