The table below provides summary statistics and salary benchmarking for jobs advertised in Milton Keynes requiring Secure Coding skills. It covers vacancies from the 6 months leading up to 19 September 2025, with comparisons to the same periods in the previous two years.
6 months to 19 Sep 2025
Same period 2024
Same period 2023
Rank
39
53
-
Rank change year-on-year
+14
-
-
Permanent jobs citing Secure Coding
1
2
0
As % of all permanent jobs advertised in Milton Keynes
Secure Coding 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 Milton Keynes.
Permanent vacancies with a requirement for process or methodology skills
249
397
589
As % of all permanent jobs advertised in Milton Keynes
90.55%
80.53%
95.93%
Number of salaries quoted
132
293
444
10th Percentile
£32,750
£31,250
£30,725
25th Percentile
£45,000
£37,500
£41,250
Median annual salary (50th Percentile)
£55,000
£50,000
£55,000
Median % change year-on-year
+10.00%
-9.09%
-
75th Percentile
£70,000
£65,000
£72,500
90th Percentile
£85,000
£78,750
£82,000
Buckinghamshire median annual salary
£45,000
£50,000
£55,000
% change year-on-year
-10.00%
-9.09%
-3.63%
Secure Coding Job Vacancy Trend in Milton Keynes
Job postings citing Secure Coding as a proportion of all IT jobs advertised in Milton Keynes.
Secure Coding Salary Trend in Milton Keynes
Salary distribution trend for jobs in Milton Keynes citing Secure Coding.
Secure Coding Top 21 Co-occurring Skills and Capabilities in Milton Keynes
For the 6 months to 19 September 2025, job vacancies citing Secure Coding 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 Milton Keynes region with a requirement for Secure Coding.
Secure Coding Co-occurring Skills and Capabilities in Milton Keynes 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:
