The table below provides summary statistics for contract job vacancies advertised in York 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 27 July 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 York.
Contract vacancies with a requirement for process or methodology skills
23
51
56
As % of all contract IT jobs advertised in York
92.00%
91.07%
76.71%
Number of daily rates quoted
16
25
41
10th Percentile
£177
£125
£131
25th Percentile
£350
£178
£185
Median daily rate (50th Percentile)
£438
£325
£400
Median % change year-on-year
+34.62%
-18.75%
-
75th Percentile
£553
£475
£540
90th Percentile
£638
£525
£688
North Yorkshire median daily rate
£425
£500
£395
% change year-on-year
-15.00%
+26.58%
+5.33%
Number of hourly rates quoted
0
1
0
Median hourly rate
-
£27.00
-
North Yorkshire median hourly rate
£25.11
£15.50
£22.00
% change year-on-year
+62.02%
-29.55%
+16.49%
Machine Learning Job Vacancy Trend in York
Job postings citing Machine Learning as a proportion of all IT jobs advertised in York.
Machine Learning Contractor Daily Rate Trend in York
3-month moving average daily rate quoted in jobs citing Machine Learning in York.
Machine Learning Top 30 Co-occurring Skills and Capabilities in York
For the 6 months to 27 July 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 York region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in York 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: