The table below provides summary statistics and salary benchmarking for remote or hybrid work requiring GLSL skills. It covers permanent job vacancies from the 6 months leading up to 19 November 2025, with comparisons to the same periods in the previous two years.
6 months to 19 Nov 2025
Same period 2024
Same period 2023
Rank
379
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing GLSL
1
0
0
As % of all permanent jobs with remote/hybrid work options
GLSL falls under the Programming Languages category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies with remote or hybrid options requiring coding skills.
Permanent vacancies with a requirement for coding skills
4,226
8,171
10,087
As % of all permanent jobs with a WFH option
27.66%
41.71%
47.02%
Number of salaries quoted
3,288
5,191
8,500
10th Percentile
£35,000
£39,625
£40,000
25th Percentile
£46,250
£47,750
£48,750
Median annual salary (50th Percentile)
£62,500
£65,000
£65,000
Median % change year-on-year
-3.85%
-
+4.00%
75th Percentile
£82,500
£85,000
£83,750
90th Percentile
£113,750
£115,000
£100,000
UK median annual salary
£62,500
£65,000
£65,000
% change year-on-year
-3.85%
-
-
GLSL Job Vacancy Trend for Remote/Hybrid Jobs
Historical trend showing the proportion of permanent IT job postings citing GLSL and offering remote or hybrid work options relative to all permanent IT jobs advertised.
GLSL Salary Trend for Remote/Hybrid Jobs
Salary distribution trend for jobs with remote/hybrid work options citing GLSL.
GLSL Top 15 Co-Occurring Skills & Capabilities in Remote/Hybrid Jobs
For the 6 months to 19 November 2025, GLSL job roles required 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 jobs with hybrid or remote work options and a requirement for GLSL.
GLSL Co-Occurring Skills & Capabilities in Remote/Hybrid Jobs 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:
