The table below provides summary statistics and salary benchmarking for jobs advertised in Leicester requiring Kalman Filter skills. It covers permanent job vacancies from the 6 months leading up to 18 October 2025, with comparisons to the same periods in the previous two years.
Kalman Filter 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 Leicester.
Permanent vacancies with a requirement for process or methodology skills
176
244
270
As % of all permanent jobs advertised in Leicester
85.85%
79.22%
92.47%
Number of salaries quoted
100
129
208
10th Percentile
£25,750
£33,700
£27,500
25th Percentile
£37,188
£40,000
£38,000
Median annual salary (50th Percentile)
£50,000
£52,500
£52,500
Median % change year-on-year
-4.76%
-
+10.53%
75th Percentile
£65,000
£65,000
£62,500
90th Percentile
£74,125
£83,000
£67,500
Leicestershire median annual salary
£42,500
£45,000
£52,500
% change year-on-year
-5.56%
-14.29%
+16.67%
Kalman Filter Job Vacancy Trend in Leicester
Historical trend showing the proportion of permanent IT job postings citing Kalman Filter relative to all permanent IT jobs advertised in Leicester.
Kalman Filter Salary Trend in Leicester
Salary distribution trend for jobs in Leicester citing Kalman Filter.
Kalman Filter Top 12 Co-Occurring Skills & Capabilities in Leicester
For the 6 months to 18 October 2025, job vacancies citing Kalman Filter 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 Leicester region with a requirement for Kalman Filter.
Kalman Filter Co-Occurring Skills & Capabilities in Leicester 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:
