The table below provides summary statistics and salary benchmarking for jobs advertised in Milton Keynes requiring Entity Framework skills. It covers permanent job vacancies from the 6 months leading up to 3 December 2025, with comparisons to the same periods in the previous two years.
Entity Framework falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Milton Keynes.
Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills
55
67
130
As % of all permanent jobs advertised in Milton Keynes
12.17%
16.54%
25.15%
Number of salaries quoted
52
50
100
10th Percentile
£37,500
£37,250
£46,050
25th Percentile
£44,688
£41,875
£47,500
Median annual salary (50th Percentile)
£57,500
£52,500
£60,000
Median % change year-on-year
+9.52%
-12.50%
+5.26%
75th Percentile
£67,500
£60,000
£77,500
90th Percentile
£73,625
£63,075
£87,750
Buckinghamshire median annual salary
£52,500
£52,500
£60,000
% change year-on-year
-
-12.50%
-
Entity Framework Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of permanent IT job postings citing Entity Framework relative to all permanent IT jobs advertised in Milton Keynes.
Entity Framework Salary Trend in Milton Keynes
Salary distribution trend for jobs in Milton Keynes citing Entity Framework.
Entity Framework Top 11 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 3 December 2025, job vacancies citing Entity Framework 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 Milton Keynes region with a requirement for Entity Framework.
Entity Framework Co-Occurring Skills & Capabilities in Milton Keynes 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:
