The table below provides summary statistics for permanent job vacancies advertised in Birmingham requiring Azure AI skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Azure AI over the 6 months leading up to 10 May 2025, comparing them to the same period in the previous two years.
6 months to 10 May 2025
Same period 2024
Same period 2023
Rank
108
-
-
Rank change year-on-year
-
-
-
Permanent jobs citing Azure AI
1
0
0
As % of all permanent jobs advertised in Birmingham
Azure AI 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 Birmingham.
Permanent vacancies with a requirement for cloud computing skills
501
1,058
861
As % of all permanent jobs advertised in Birmingham
34.62%
38.25%
44.36%
Number of salaries quoted
396
933
693
10th Percentile
£32,500
£32,000
£31,250
25th Percentile
£42,500
£41,250
£45,000
Median annual salary (50th Percentile)
£55,000
£57,500
£56,500
Median % change year-on-year
-4.35%
+1.77%
+2.73%
75th Percentile
£70,000
£73,750
£72,500
90th Percentile
£88,750
£90,000
£83,500
West Midlands median annual salary
£52,500
£52,500
£55,000
% change year-on-year
-
-4.55%
+4.76%
Azure AI Job Vacancy Trend in Birmingham
Job postings citing Azure AI as a proportion of all IT jobs advertised in Birmingham.
Azure AI Salary Trend in Birmingham
3-month moving average salary quoted in jobs citing Azure AI in Birmingham.
Azure AI Top 30 Co-occurring Skills and Capabilities in Birmingham
For the 6 months to 10 May 2025, job vacancies citing Azure AI also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Birmingham region with a requirement for Azure AI.
Azure AI Co-occurring Skills and Capabilities in Birmingham 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:
