The table below provides summary statistics for contract job vacancies advertised in Blackpool 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 3 August 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 Blackpool.
Contract vacancies with a requirement for process or methodology skills
17
18
71
As % of all contract IT jobs advertised in Blackpool
94.44%
94.74%
89.87%
Number of daily rates quoted
9
9
55
10th Percentile
£153
£251
£476
25th Percentile
£375
£259
£538
Median daily rate (50th Percentile)
£450
£285
£623
Median % change year-on-year
+57.89%
-54.22%
+17.45%
75th Percentile
£475
£650
£681
90th Percentile
£527
£686
£712
Lancashire median daily rate
£500
£513
£525
% change year-on-year
-2.44%
-2.38%
+5.00%
Number of hourly rates quoted
2
0
0
Median hourly rate
£18.87
-
-
Lancashire median hourly rate
£40.59
£25.45
£45.88
% change year-on-year
+59.49%
-44.53%
+21.38%
Machine Learning Job Vacancy Trend in Blackpool
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Blackpool.
Machine Learning Contractor Daily Rate Trend in Blackpool
3-month moving average daily rate quoted in jobs citing Machine Learning in Blackpool.
Machine Learning Top 22 Co-occurring Skills and Capabilities in Blackpool
For the 6 months to 3 August 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 Blackpool region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in Blackpool 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:
