The table below provides summary statistics and contractor rates for jobs advertised in Dunstable requiring Machine Learning skills. It covers contract job vacancies from the 6 months leading up to 22 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 Dunstable.
Contract vacancies with a requirement for process or methodology skills
7
9
16
As % of all contract IT jobs advertised in Dunstable
100.00%
81.82%
100.00%
Number of daily rates quoted
6
5
12
10th Percentile
£431
£103
-
25th Percentile
£459
£189
£313
Median daily rate (50th Percentile)
£505
£230
£400
Median % change year-on-year
+119.60%
-42.51%
-40.74%
75th Percentile
£519
£375
£478
90th Percentile
£573
£390
£500
Bedfordshire median daily rate
£520
£502
£525
% change year-on-year
+3.64%
-4.43%
+5.00%
Number of hourly rates quoted
0
1
1
10th Percentile
-
-
-
25th Percentile
-
-
£51.25
Median hourly rate
-
£50.00
£52.50
Median % change year-on-year
-
-4.76%
-
75th Percentile
-
-
£53.75
90th Percentile
-
-
-
Bedfordshire median hourly rate
£82.25
£55.00
£55.00
% change year-on-year
+49.55%
-
+0.64%
Machine Learning Job Vacancy Trend in Dunstable
Historical trend showing the proportion of contract IT job postings citing Machine Learning relative to all contract IT jobs advertised in Dunstable.
Machine Learning Top 8 Co-Occurring Skills & Capabilities in Dunstable
For the 6 months to 22 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 Dunstable region with a requirement for Machine Learning.
Machine Learning Co-Occurring Skills & Capabilities in Dunstable 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:
