The table below provides summary statistics and salary benchmarking for jobs advertised in Chelmsford requiring Reinforcement Learning skills. It covers permanent job vacancies from the 6 months leading up to 6 November 2025, with comparisons to the same periods in the previous two years.
Reinforcement Learning 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 Chelmsford.
Permanent vacancies with a requirement for process or methodology skills
132
60
81
As % of all permanent jobs advertised in Chelmsford
89.80%
57.14%
79.41%
Number of salaries quoted
101
36
55
10th Percentile
£27,500
£30,000
£23,500
25th Percentile
£31,250
£43,688
£37,733
Median annual salary (50th Percentile)
£47,500
£60,000
£46,000
Median % change year-on-year
-20.83%
+30.43%
-3.16%
75th Percentile
£65,000
£64,188
£67,500
90th Percentile
£79,000
£70,000
£71,499
Essex median annual salary
£40,408
£55,000
£48,800
% change year-on-year
-26.53%
+12.70%
-2.40%
Reinforcement Learning Job Vacancy Trend in Chelmsford
Historical trend showing the proportion of permanent IT job postings citing Reinforcement Learning relative to all permanent IT jobs advertised in Chelmsford.
Reinforcement Learning Salary Histogram in Chelmsford
Salary distribution for jobs citing Reinforcement Learning in Chelmsford over the 6 months to 6 November 2025.
Reinforcement Learning Top 19 Co-Occurring Skills & Capabilities in Chelmsford
For the 6 months to 6 November 2025, job vacancies citing Reinforcement Learning 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 Chelmsford region with a requirement for Reinforcement Learning.
Reinforcement Learning Co-Occurring Skills & Capabilities in Chelmsford 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:
