The table below provides summary statistics and salary benchmarking for jobs advertised in Milton Keynes requiring Low-Fidelity Prototypes skills. It covers permanent job vacancies from the 6 months leading up to 13 November 2025, with comparisons to the same periods in the previous two years.
Low-Fidelity Prototypes 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
334
335
530
As % of all permanent jobs advertised in Milton Keynes
90.27%
81.71%
95.67%
Number of salaries quoted
205
240
397
10th Percentile
£35,000
£31,250
£31,250
25th Percentile
£43,750
£38,438
£41,250
Median annual salary (50th Percentile)
£55,000
£52,500
£55,000
Median % change year-on-year
+4.76%
-4.55%
-
75th Percentile
£68,000
£65,000
£70,000
90th Percentile
£84,000
£91,025
£80,500
Buckinghamshire median annual salary
£45,000
£51,500
£55,000
% change year-on-year
-12.62%
-6.36%
-
Low-Fidelity Prototypes Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of permanent IT job postings citing Low-Fidelity Prototypes relative to all permanent IT jobs advertised in Milton Keynes.
Low-Fidelity Prototypes Salary Trend in Milton Keynes
Salary distribution trend for jobs in Milton Keynes citing Low-Fidelity Prototypes.
Low-Fidelity Prototypes Top 24 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 13 November 2025, job vacancies citing Low-Fidelity Prototypes 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 Low-Fidelity Prototypes.
Low-Fidelity Prototypes 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:
