Unified Modeling Language (UML) East of England> East Anglia
The table below provides summary statistics for permanent job vacancies advertised in East Anglia requiring UML skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited UML over the 6 months leading up to 28 May 2025, comparing them to the same period in the previous two years.
6 months to 28 May 2025
Same period 2024
Same period 2023
Rank
5
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing UML
1
0
0
As % of all permanent jobs advertised in East Anglia
UML 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 East Anglia.
Permanent vacancies with a requirement for process or methodology skills
7
1
3
As % of all permanent jobs advertised in East Anglia
87.50%
100.00%
100.00%
Number of salaries quoted
7
1
3
10th Percentile
£49,900
-
£26,150
25th Percentile
£54,375
£86,250
£26,750
Median annual salary (50th Percentile)
£57,500
£89,500
£29,500
Median % change year-on-year
-35.75%
+203.39%
-37.89%
75th Percentile
£59,375
£92,750
£60,625
90th Percentile
£71,200
-
£78,250
East of England median annual salary
£50,967
£50,000
£55,000
% change year-on-year
+1.93%
-9.09%
+10.00%
UML Job Vacancy Trend in East Anglia
Job postings citing UML as a proportion of all IT jobs advertised in East Anglia.
UML Salary Trend in East Anglia
3-month moving average salary quoted in jobs citing UML in East Anglia.
UML Top 10 Co-occurring Skills and Capabilities in East Anglia
For the 6 months to 28 May 2025, job vacancies citing UML 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 East Anglia region with a requirement for UML.
UML Co-occurring Skills and Capabilities in East Anglia 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:
