Microsoft Azure Machine Learning (Azure ML) South West> Bristol
The table below provides summary statistics and salary benchmarking for jobs advertised in Bristol requiring Azure Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 21 October 2025, with comparisons to the same periods in the previous two years.
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 Bristol.
Permanent vacancies with a requirement for cloud computing skills
288
632
785
As % of all permanent jobs advertised in Bristol
24.49%
29.87%
47.90%
Number of salaries quoted
245
412
692
10th Percentile
£30,750
£30,000
£36,750
25th Percentile
£39,000
£45,000
£45,000
Median annual salary (50th Percentile)
£60,000
£60,000
£59,526
Median % change year-on-year
-
+0.80%
+8.23%
75th Percentile
£80,000
£78,750
£76,250
90th Percentile
£95,000
£87,500
£87,419
South West median annual salary
£45,000
£55,000
£55,000
% change year-on-year
-18.18%
-
+7.75%
Azure Machine Learning Job Vacancy Trend in Bristol
Historical trend showing the proportion of permanent IT job postings citing Azure Machine Learning relative to all permanent IT jobs advertised in Bristol.
Azure Machine Learning Salary Trend in Bristol
Salary distribution trend for jobs in Bristol citing Azure Machine Learning.
Azure Machine Learning Top 30 Co-Occurring Skills & Capabilities in Bristol
For the 6 months to 21 October 2025, job vacancies citing Azure Machine Learning also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number of co-occurrences and as a proportion of all permanent job ads across the Bristol region with a requirement for Azure Machine Learning.
Azure Machine Learning Co-Occurring Skills & Capabilities in Bristol 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:
