The table below provides summary statistics for permanent job vacancies advertised in London requiring Markov Model skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Markov Model over the 6 months leading up to 13 May 2025, comparing them to the same period in the previous two years.
Markov Model 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 London.
Permanent vacancies with a requirement for process or methodology skills
12,513
21,570
32,778
As % of all permanent jobs advertised in London
96.22%
91.16%
95.37%
Number of salaries quoted
7,302
15,997
23,624
10th Percentile
£42,464
£37,500
£43,411
25th Percentile
£56,250
£51,750
£55,000
Median annual salary (50th Percentile)
£75,000
£70,073
£75,000
Median % change year-on-year
+7.03%
-6.57%
+7.14%
75th Percentile
£100,000
£95,000
£95,000
90th Percentile
£123,750
£115,000
£115,000
England median annual salary
£57,500
£55,000
£62,500
% change year-on-year
+4.55%
-12.00%
+4.17%
Markov Model Job Vacancy Trend in London
Job postings citing Markov Model as a proportion of all IT jobs advertised in London.
Markov Model Salary Trend in London
3-month moving average salary quoted in jobs citing Markov Model in London.
Markov Model Top 20 Co-occurring Skills and Capabilities in London
For the 6 months to 13 May 2025, job vacancies citing Markov Model 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 London region with a requirement for Markov Model.
Markov Model Co-occurring Skills and Capabilities in London 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:
