The table below provides summary statistics for permanent job vacancies advertised in Milton Keynes requiring MATLAB skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited MATLAB over the 6 months leading up to 5 May 2025, comparing them to the same period in the previous two years.
6 months to 5 May 2025
Same period 2024
Same period 2023
Rank
40
-
81
Rank change year-on-year
-
-
-
Permanent jobs citing MATLAB
1
0
2
As % of all permanent jobs advertised in Milton Keynes
MATLAB falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring coding skills in Milton Keynes.
Permanent vacancies with a requirement for coding skills
80
347
320
As % of all permanent jobs advertised in Milton Keynes
31.75%
32.25%
38.60%
Number of salaries quoted
62
271
209
10th Percentile
£31,875
£37,500
£32,500
25th Percentile
£49,375
£41,250
£38,250
Median annual salary (50th Percentile)
£60,000
£54,000
£52,500
Median % change year-on-year
+11.11%
+2.86%
-4.55%
75th Percentile
£66,563
£58,750
£65,000
90th Percentile
£83,375
£70,000
£75,000
Buckinghamshire median annual salary
£60,000
£52,501
£52,500
% change year-on-year
+14.28%
+0.00%
-4.55%
MATLAB Job Vacancy Trend in Milton Keynes
Job postings citing MATLAB as a proportion of all IT jobs advertised in Milton Keynes.
MATLAB Salary Trend in Milton Keynes
3-month moving average salary quoted in jobs citing MATLAB in Milton Keynes.
MATLAB Top 13 Co-occurring Skills and Capabilities in Milton Keynes
For the 6 months to 5 May 2025, job vacancies citing MATLAB 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 MATLAB.
MATLAB 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:
