PyTorch
Buckinghamshire > High Wycombe
The following table provides summary statistics for permanent job vacancies advertised in High Wycombe with a requirement for PyTorch skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited PyTorch over the 6 months to 5 May 2024 with a comparison to the same period in the previous 2 years.
| 6 months to 5 May 2024 |
Same period 2023 | Same period 2022 | |
|---|---|---|---|
| Rank | 22 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing PyTorch | 2 | 0 | 0 |
| As % of all permanent jobs advertised in High Wycombe | 1.39% | - | - |
| As % of the Libraries, Frameworks & Software Standards category | 66.67% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Buckinghamshire median annual salary | - | - | - |
All Software Libraries and Frameworks
High Wycombe
PyTorch is in the Software Libraries and Frameworks category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in High Wycombe with a requirement for technical specification, industry standards, software libraries and framework skills.
| Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 3 | 4 | 34 |
| As % of all permanent jobs advertised in High Wycombe | 2.08% | 5.13% | 30.91% |
| Number of salaries quoted | 0 | 1 | 6 |
| 10th Percentile | - | - | £51,875 |
| 25th Percentile | - | £36,250 | £53,750 |
| Median annual salary (50th Percentile) | - | £37,500 | £60,000 |
| Median % change year-on-year | - | -37.50% | +20.00% |
| 75th Percentile | - | £38,750 | £66,250 |
| 90th Percentile | - | - | £75,000 |
| Buckinghamshire median annual salary | £54,500 | £60,000 | £57,500 |
| % change year-on-year | -9.17% | +4.35% | +15.00% |
PyTorch
Co-occurring Skills and Capabilities in High Wycombe by Category
The follow tables expand on the table above by listing co-occurrences grouped by category. The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories: