The table below provides summary statistics and salary benchmarking for jobs advertised in Milton Keynes requiring Salesforce Service Cloud skills. It covers permanent job vacancies from the 6 months leading up to 23 October 2025, with comparisons to the same periods in the previous two years.
Salesforce Service Cloud falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Milton Keynes.
Permanent vacancies with a requirement for cloud computing skills
114
165
219
As % of all permanent jobs advertised in Milton Keynes
36.89%
41.25%
40.48%
Number of salaries quoted
80
143
212
10th Percentile
£35,000
£34,600
£29,150
25th Percentile
£42,500
£36,250
£40,938
Median annual salary (50th Percentile)
£53,750
£51,500
£56,250
Median % change year-on-year
+4.37%
-8.44%
+2.27%
75th Percentile
£67,750
£65,000
£75,000
90th Percentile
£75,925
£91,850
£87,500
Buckinghamshire median annual salary
£47,500
£52,500
£57,500
% change year-on-year
-9.52%
-8.70%
+4.55%
Salesforce Service Cloud Job Vacancy Trend in Milton Keynes
Historical trend showing the proportion of permanent IT job postings citing Salesforce Service Cloud relative to all permanent IT jobs advertised in Milton Keynes.
Salesforce Service Cloud Salary Trend in Milton Keynes
Salary distribution trend for jobs in Milton Keynes citing Salesforce Service Cloud.
Salesforce Service Cloud Top 24 Co-Occurring Skills & Capabilities in Milton Keynes
For the 6 months to 23 October 2025, job vacancies citing Salesforce Service Cloud 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 Salesforce Service Cloud.
Salesforce Service Cloud 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:
