The table below provides summary statistics for permanent job vacancies advertised in Brighton requiring Machine Learning skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Machine Learning over the 6 months leading up to 8 May 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 permanent job vacancies requiring process or methodology skills in Brighton.
Permanent vacancies with a requirement for process or methodology skills
167
351
617
As % of all permanent jobs advertised in Brighton
86.08%
81.82%
93.77%
Number of salaries quoted
128
327
479
10th Percentile
£41,250
£26,250
£33,750
25th Percentile
£45,938
£39,282
£43,750
Median annual salary (50th Percentile)
£57,500
£55,000
£55,000
Median % change year-on-year
+4.55%
-
-4.76%
75th Percentile
£65,938
£67,500
£67,500
90th Percentile
£85,000
£79,250
£81,250
East Sussex median annual salary
£50,000
£52,500
£55,000
% change year-on-year
-4.76%
-4.55%
-4.35%
Machine Learning Job Vacancy Trend in Brighton
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Brighton.
Machine Learning Salary Trend in Brighton
3-month moving average salary quoted in jobs citing Machine Learning in Brighton.
Machine Learning Salary Histogram in Brighton
Salary distribution for jobs citing Machine Learning in Brighton over the 6 months to 8 May 2025.
Machine Learning Top 26 Co-occurring Skills and Capabilities in Brighton
For the 6 months to 8 May 2025, 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 permanent job ads across the Brighton region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in Brighton 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:
