Jupyter (JupyterHub, JupyterLab)
West Midlands > Wolverhampton
The table below provides summary statistics and salary benchmarking for jobs advertised in Wolverhampton requiring Jupyter skills. It covers permanent job vacancies from the 6 months leading up to 12 March 2026, with comparisons to the same periods in the previous two years.
| 6 months to 12 Mar 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 29 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Jupyter | 1 | 0 | 0 |
| As % of all permanent jobs in Wolverhampton | 0.70% | - | - |
| As % of the Application Platforms category | 16.67% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £33,750 | - | - |
| Median annual salary (50th Percentile) | £37,500 | - | - |
| 75th Percentile | £41,250 | - | - |
| 90th Percentile | - | - | - |
| West Midlands median annual salary | £37,500 | - | £70,000 |
All Application Platform Skills
Wolverhampton
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 Wolverhampton.
| Permanent vacancies with a requirement for application platform skills | 6 | 2 | 11 |
| As % of all permanent jobs advertised in Wolverhampton | 4.23% | 3.45% | 9.24% |
| Number of salaries quoted | 6 | 1 | 9 |
| 10th Percentile | £32,500 | - | £19,500 |
| 25th Percentile | £36,563 | £30,500 | £20,250 |
| Median annual salary (50th Percentile) | £54,500 | £31,000 | £21,500 |
| Median % change year-on-year | +75.81% | +44.19% | -48.81% |
| 75th Percentile | £85,875 | £31,500 | £33,750 |
| 90th Percentile | £92,500 | - | £89,000 |
| West Midlands median annual salary | £45,000 | £53,000 | £45,931 |
| % change year-on-year | -15.09% | +15.39% | +2.07% |
Jupyter
Co-Occurring Skills & Capabilities in Wolverhampton 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: