The table below provides summary statistics and salary benchmarking for jobs advertised in Barrow-in-Furness requiring Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 14 October 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 permanent job vacancies requiring process or methodology skills in Barrow-in-Furness.
Permanent vacancies with a requirement for process or methodology skills
29
151
35
As % of all permanent jobs advertised in Barrow-in-Furness
78.38%
86.78%
97.22%
Number of salaries quoted
21
72
0
10th Percentile
£28,750
£35,802
-
25th Percentile
£47,750
£38,734
-
Median annual salary (50th Percentile)
£53,750
£50,750
-
Median % change year-on-year
+5.91%
-
-
75th Percentile
£60,000
£56,000
-
90th Percentile
£64,250
£60,315
-
Cumbria median annual salary
£45,000
£45,628
£43,800
% change year-on-year
-1.38%
+4.17%
+12.31%
Machine Learning Job Vacancy Trend in Barrow-in-Furness
Historical trend showing the proportion of permanent IT job postings citing Machine Learning relative to all permanent IT jobs advertised in Barrow-in-Furness.
Machine Learning Salary Trend in Barrow-in-Furness
Salary distribution trend for jobs in Barrow-in-Furness citing Machine Learning.
Machine Learning Top 12 Co-Occurring Skills & Capabilities in Barrow-in-Furness
For the 6 months to 14 October 2025, 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 permanent job ads across the Barrow-in-Furness region with a requirement for Machine Learning.
Machine Learning Co-Occurring Skills & Capabilities in Barrow-in-Furness 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:
