Microsoft Azure Machine Learning (Azure ML)
South Wales > Gwent
The table below provides summary statistics for permanent job vacancies advertised in Gwent requiring Azure Machine Learning skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Azure Machine Learning over the 6 months leading up to 6 May 2025, comparing them to the same period in the previous two years.
| 6 months to 6 May 2025 |
Same period 2024 | Same period 2023 | |
|---|---|---|---|
| Rank | 8 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Azure Machine Learning | 2 | 0 | 0 |
| As % of all permanent jobs advertised in Gwent | 7.41% | - | - |
| As % of the Cloud Services category | 18.18% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £67,000 | - | - |
| Median annual salary (50th Percentile) | £69,000 | - | - |
| 75th Percentile | £71,000 | - | - |
| 90th Percentile | - | - | - |
| South Wales median annual salary | £69,000 | £60,000 | £45,000 |
| % change year-on-year | +15.00% | +33.33% | - |
All Cloud Skills
Gwent
Azure Machine Learning falls under the Cloud Services category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring cloud computing skills in Gwent.
| Permanent vacancies with a requirement for cloud computing skills | 11 | 8 | 0 |
| As % of all permanent jobs advertised in Gwent | 40.74% | 22.86% | - |
| Number of salaries quoted | 10 | 7 | 0 |
| 10th Percentile | £42,500 | - | - |
| 25th Percentile | £47,000 | - | - |
| Median annual salary (50th Percentile) | £52,592 | £28,290 | - |
| Median % change year-on-year | +85.90% | - | - |
| 75th Percentile | £56,750 | - | - |
| 90th Percentile | £71,193 | - | - |
| South Wales median annual salary | £52,796 | £52,048 | £50,671 |
| % change year-on-year | +1.44% | +2.72% | +1.34% |
Azure Machine Learning
Co-occurring Skills and Capabilities in Gwent 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: