Jupyter (JupyterHub, JupyterLab)
Devon > Exeter
The table below provides summary statistics and salary benchmarking for jobs advertised in Exeter requiring Jupyter skills. It covers permanent job vacancies from the 6 months leading up to 2 May 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
2 May 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
43 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Jupyter |
1 |
0 |
0 |
| As % of all permanent jobs in Exeter |
0.27% |
- |
- |
| As % of the Application Platforms category |
5.26% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£55,000 |
- |
- |
| Devon median annual salary |
£55,000 |
- |
£37,500 |
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 Exeter.
| Permanent vacancies with a requirement for application platform skills |
19 |
14 |
27 |
| As % of all permanent jobs advertised in Exeter |
5.11% |
12.96% |
9.64% |
| Number of salaries quoted |
19 |
14 |
26 |
| 10th Percentile |
- |
- |
£35,625 |
| 25th Percentile |
£24,500 |
£29,750 |
£36,250 |
| Median annual salary (50th Percentile) |
£25,000 |
£31,500 |
£40,000 |
| Median % change year-on-year |
-20.63% |
-21.25% |
+14.29% |
| 75th Percentile |
£30,000 |
£33,250 |
£47,716 |
| 90th Percentile |
£44,000 |
- |
£50,000 |
| Devon median annual salary |
£28,250 |
£31,500 |
£40,000 |
| % change year-on-year |
-10.32% |
-21.25% |
+14.29% |
Jupyter
Job Vacancy Trend in Exeter
Historical trend showing the proportion of permanent IT job postings citing Jupyter relative to all permanent IT jobs advertised in Exeter.
Jupyter
Salary Trend in Exeter
Salary distribution trend for jobs in Exeter citing Jupyter.
Jupyter
Co-Occurring Skills & Capabilities in Exeter 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:
