Google Cloud Vertex AI
West Yorkshire > Leeds
The table below provides summary statistics and salary benchmarking for jobs advertised in Leeds requiring Vertex AI skills. It covers permanent job vacancies from the 6 months leading up to 17 June 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
17 Jun 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
122 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Vertex AI |
1 |
0 |
0 |
| As % of all permanent jobs in Leeds |
0.038% |
- |
- |
| As % of the Cloud Services category |
0.13% |
- |
- |
| Number of salaries quoted |
1 |
0 |
0 |
| Median annual salary (50th Percentile) |
£90,000 |
- |
- |
| West Yorkshire median annual salary |
£90,000 |
- |
- |
Vertex 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 Leeds.
| Permanent vacancies with a requirement for cloud computing skills |
765 |
314 |
871 |
| As % of all permanent jobs advertised in Leeds |
28.84% |
39.05% |
36.75% |
| Number of salaries quoted |
538 |
258 |
721 |
| 10th Percentile |
£32,750 |
£34,250 |
£33,750 |
| 25th Percentile |
£45,000 |
£47,125 |
£42,500 |
| Median annual salary (50th Percentile) |
£65,000 |
£64,000 |
£55,000 |
| Median % change year-on-year |
+1.56% |
+16.36% |
-7.60% |
| 75th Percentile |
£80,000 |
£78,750 |
£70,000 |
| 90th Percentile |
£100,000 |
£93,778 |
£84,964 |
| West Yorkshire median annual salary |
£62,500 |
£60,000 |
£55,000 |
| % change year-on-year |
+4.17% |
+9.09% |
-4.86% |
Vertex AI
Job Vacancy Trend in Leeds
Historical trend showing the proportion of permanent IT job postings citing Vertex AI relative to all permanent IT jobs advertised in Leeds.
Vertex AI
Salary Trend in Leeds
Salary distribution trend for jobs in Leeds citing Vertex AI.
Vertex AI
Co-Occurring Skills & Capabilities in Leeds 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:
