The table below provides summary statistics and salary benchmarking for jobs advertised in Hertford requiring Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 9 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 permanent job vacancies requiring process or methodology skills in Hertford.
Permanent vacancies with a requirement for process or methodology skills
25
15
9
As % of all permanent jobs advertised in Hertford
86.21%
93.75%
100.00%
Number of salaries quoted
17
9
6
10th Percentile
£36,250
£64,500
£33,750
25th Percentile
-
£70,000
£37,500
Median annual salary (50th Percentile)
£41,000
£100,000
£47,500
Median % change year-on-year
-59.00%
+110.53%
-13.64%
75th Percentile
£46,250
-
£57,500
90th Percentile
£69,500
£115,000
£58,750
Hertfordshire median annual salary
£47,000
£60,000
£55,000
% change year-on-year
-21.67%
+9.09%
-
Machine Learning Job Vacancy Trend in Hertford
Historical trend showing the proportion of permanent IT job postings citing Machine Learning relative to all permanent IT jobs advertised in Hertford.
Machine Learning Salary Trend in Hertford
Salary distribution trend for jobs in Hertford citing Machine Learning.
Machine Learning Top 10 Co-Occurring Skills & Capabilities in Hertford
For the 6 months to 9 November 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 Hertford region with a requirement for Machine Learning.
Machine Learning Co-Occurring Skills & Capabilities in Hertford 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:
