Jupyter (JupyterHub, JupyterLab)
Merseyside > Liverpool
The table below provides summary statistics and salary benchmarking for jobs advertised in Liverpool requiring Jupyter skills. It covers permanent job vacancies from the 6 months leading up to 31 January 2026, with comparisons to the same periods in the previous two years.
| 6 months to 31 Jan 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 54 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Jupyter | 1 | 0 | 0 |
| As % of all permanent jobs in Liverpool | 0.18% | - | - |
| As % of the Application Platforms category | 4.00% | - | - |
| 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 | - | - | - |
| Merseyside median annual salary | £37,500 | - | - |
All Application Platform Skills
Liverpool
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 Liverpool.
| Permanent vacancies with a requirement for application platform skills | 25 | 57 | 32 |
| As % of all permanent jobs advertised in Liverpool | 4.61% | 14.96% | 4.90% |
| Number of salaries quoted | 14 | 45 | 30 |
| 10th Percentile | £44,225 | - | £26,175 |
| 25th Percentile | £50,000 | £31,250 | £31,250 |
| Median annual salary (50th Percentile) | £65,000 | £32,500 | £35,750 |
| Median % change year-on-year | +100.00% | -9.09% | -20.56% |
| 75th Percentile | £75,000 | £43,000 | £57,250 |
| 90th Percentile | £79,375 | £45,000 | £85,000 |
| Merseyside median annual salary | £58,750 | £32,500 | £35,000 |
| % change year-on-year | +80.77% | -7.14% | -17.65% |
Jupyter
Co-Occurring Skills & Capabilities in Liverpool 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: