The table below provides summary statistics for permanent job vacancies advertised in West Sussex 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 25 August 2025, comparing them to the same period in the previous two years.
6 months to 25 Aug 2025
Same period 2024
Same period 2023
Rank
46
-
-
Rank change year-on-year
-
-
-
DemandTrendPermanent jobs citing Azure AI
1
0
0
As % of all permanent jobs advertised in West Sussex
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 West Sussex.
DemandTrendPermanent vacancies with a requirement for cloud computing skills
111
121
192
As % of all permanent jobs advertised in West Sussex
25.93%
22.96%
27.55%
Number of salaries quoted
90
99
156
10th Percentile
£27,375
£24,375
£30,000
25th Percentile
£37,500
£37,500
£40,500
Median annual salary (50th Percentile)
£52,000
£52,500
£57,500
Median % change year-on-year
-0.95%
-8.70%
+4.55%
75th Percentile
£67,188
£68,750
£70,000
90th Percentile
£75,375
£84,000
£75,000
South East median annual salary
£50,000
£55,000
£56,500
% change year-on-year
-9.09%
-2.65%
+2.73%
Azure AI Job Vacancy Trend in West Sussex
Job postings citing Azure AI as a proportion of all IT jobs advertised in West Sussex.
Azure AI Salary Trend in West Sussex
Salary distribution trend for jobs in West Sussex citing Azure AI.
Azure AI Top 24 Co-occurring Skills and Capabilities in West Sussex
For the 6 months to 25 August 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 West Sussex region with a requirement for Azure AI.
Azure AI Co-occurring Skills and Capabilities in West Sussex 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:
