Microsoft Azure Machine Learning (Azure ML)
West London > Hounslow
The table below provides summary statistics and salary benchmarking for jobs advertised in Hounslow requiring Azure Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 17 March 2026, with comparisons to the same periods in the previous two years.
| 6 months to 17 Mar 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 25 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Azure Machine Learning | 1 | 0 | 0 |
| As % of all permanent jobs in Hounslow | 0.80% | - | - |
| As % of the Cloud Services category | 1.49% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| West London median annual salary | - | - | - |
All Cloud Computing Skills
Hounslow
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 Hounslow.
| Permanent vacancies with a requirement for cloud computing skills | 67 | 23 | 39 |
| As % of all permanent jobs advertised in Hounslow | 53.60% | 29.87% | 35.78% |
| Number of salaries quoted | 27 | 6 | 27 |
| 10th Percentile | - | £34,375 | £39,816 |
| 25th Percentile | £35,000 | £37,500 | £47,500 |
| Median annual salary (50th Percentile) | £38,000 | £40,000 | £55,001 |
| Median % change year-on-year | -5.00% | -27.27% | +37.50% |
| 75th Percentile | £63,750 | £42,500 | £77,000 |
| 90th Percentile | £75,000 | £55,000 | £89,950 |
| West London median annual salary | £47,500 | £55,000 | £55,000 |
| % change year-on-year | -13.64% | - | +3.77% |
Azure Machine Learning
Job Vacancy Trend in Hounslow
Historical trend showing the proportion of permanent IT job postings citing Azure Machine Learning relative to all permanent IT jobs advertised in Hounslow.
Azure Machine Learning
Co-Occurring Skills & Capabilities in Hounslow 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: