The table below provides summary statistics for contract job vacancies advertised in Swindon requiring Machine Learning skills. It includes a benchmarking guide to the contractor rates offered in vacancies that cited Machine Learning over the 6 months leading up to 18 May 2025, comparing them to the same period 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 Swindon.
Contract vacancies with a requirement for process or methodology skills
90
97
184
As % of all contract IT jobs advertised in Swindon
92.78%
76.98%
85.98%
Number of daily rates quoted
58
56
143
10th Percentile
£289
£171
£315
25th Percentile
£331
£307
£463
Median daily rate (50th Percentile)
£500
£470
£525
Median % change year-on-year
+6.38%
-10.48%
+2.94%
75th Percentile
£583
£550
£600
90th Percentile
£638
£625
£694
Wiltshire median daily rate
£553
£538
£575
% change year-on-year
+2.70%
-6.43%
+9.52%
Number of hourly rates quoted
0
9
0
Median hourly rate
-
£16.50
-
Wiltshire median hourly rate
£25.15
£15.52
£65.50
% change year-on-year
+62.05%
-76.31%
+19.09%
Machine Learning Job Vacancy Trend in Swindon
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Swindon.
Machine Learning Contractor Daily Rate Trend in Swindon
3-month moving average daily rate quoted in jobs citing Machine Learning in Swindon.
Machine Learning Top 15 Co-occurring Skills and Capabilities in Swindon
For the 6 months to 18 May 2025, contractor job vacancies citing Machine Learning 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 Swindon region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in Swindon 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:
