Jupyter (JupyterHub, JupyterLab) London> Central London
The table below provides summary statistics and salary benchmarking for jobs advertised in Central London requiring Jupyter skills. It covers permanent job vacancies from the 6 months leading up to 28 November 2025, with comparisons to the same periods in the previous two years.
Jupyter falls under the Application Platforms category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring application platform skills in Central London.
Permanent vacancies with a requirement for application platform skills
221
447
384
As % of all permanent jobs advertised in Central London
10.56%
13.33%
12.02%
Number of salaries quoted
169
306
342
10th Percentile
£36,250
£37,000
£35,513
25th Percentile
£40,000
£42,813
£43,750
Median annual salary (50th Percentile)
£63,500
£60,000
£62,500
Median % change year-on-year
+5.83%
-4.00%
-7.41%
75th Percentile
£78,750
£77,188
£77,500
90th Percentile
£92,500
£97,500
£90,000
London median annual salary
£72,500
£80,000
£67,500
% change year-on-year
-9.38%
+18.52%
-
Jupyter Job Vacancy Trend in Central London
Historical trend showing the proportion of permanent IT job postings citing Jupyter relative to all permanent IT jobs advertised in Central London.
Jupyter Salary Trend in Central London
Salary distribution trend for jobs in Central London citing Jupyter.
Jupyter Top 9 Co-Occurring Skills & Capabilities in Central London
For the 6 months to 28 November 2025, job vacancies citing Jupyter 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 Central London region with a requirement for Jupyter.
Jupyter Co-Occurring Skills & Capabilities in Central London 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:
