The table below provides summary statistics for permanent job vacancies advertised in Burgess Hill 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 12 June 2024, comparing them to the same period in the previous two years.
6 months to 12 Jun 2024
Same period 2023
Same period 2022
Rank
14
-
28
Rank change year-on-year
-
-
-
Permanent jobs citing Machine Learning
2
0
5
As % of all permanent jobs advertised in Burgess Hill
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 Burgess Hill.
Permanent vacancies with a requirement for process or methodology skills
40
7
99
As % of all permanent jobs advertised in Burgess Hill
70.18%
77.78%
93.40%
Number of salaries quoted
22
0
22
10th Percentile
£33,000
-
£23,698
25th Percentile
-
-
£37,500
Median annual salary (50th Percentile)
£70,000
-
£45,000
Median % change year-on-year
-
-
-16.28%
75th Percentile
-
-
£65,000
90th Percentile
-
-
-
West Sussex median annual salary
£55,000
£55,000
£55,000
% change year-on-year
-
-
+10.00%
Machine Learning Job Vacancy Trend in Burgess Hill
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Burgess Hill.
Machine Learning Salary Trend in Burgess Hill
3-month moving average salary quoted in jobs citing Machine Learning in Burgess Hill.
Machine Learning Top 24 Co-occurring Skills and Capabilities in Burgess Hill
For the 6 months to 12 June 2024, 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 Burgess Hill region with a requirement for Machine Learning.
Machine Learning Co-occurring Skills and Capabilities in Burgess Hill 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:
