Deep Learning
Oxfordshire > Kidlington
The table below provides summary statistics and salary benchmarking for jobs advertised in Kidlington requiring Deep Learning skills. It covers permanent job vacancies from the 6 months leading up to 11 January 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to
11 Jan 2026 |
Same period 2025 |
Same period 2024 |
| Rank |
7 |
- |
- |
| Rank change year-on-year |
- |
- |
- |
| Permanent jobs citing Deep Learning |
2 |
0 |
0 |
| As % of all permanent jobs in Kidlington |
6.45% |
- |
- |
| As % of the Processes & Methodologies category |
8.70% |
- |
- |
| Number of salaries quoted |
0 |
0 |
0 |
| Median annual salary (50th Percentile) |
- |
- |
- |
| Oxfordshire median annual salary |
- |
£34,000 |
£68,750 |
| % change year-on-year |
- |
-50.55% |
-23.61% |
Deep Learning falls under the Processes and Methodologies category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring process or methodology skills in Kidlington.
| Permanent vacancies with a requirement for process or methodology skills |
23 |
2 |
18 |
| As % of all permanent jobs advertised in Kidlington |
74.19% |
66.67% |
94.74% |
| Number of salaries quoted |
17 |
1 |
14 |
| 10th Percentile |
£24,000 |
- |
- |
| 25th Percentile |
£33,500 |
- |
£38,000 |
| Median annual salary (50th Percentile) |
£40,000 |
£58,000 |
£62,500 |
| Median % change year-on-year |
-31.03% |
-7.20% |
+47.93% |
| 75th Percentile |
£56,250 |
- |
£71,625 |
| 90th Percentile |
£66,000 |
- |
£83,500 |
| Oxfordshire median annual salary |
£50,000 |
£56,250 |
£52,500 |
| % change year-on-year |
-11.11% |
+7.14% |
+5.00% |
Deep Learning
Job Vacancy Trend in Kidlington
Historical trend showing the proportion of permanent IT job postings citing Deep Learning relative to all permanent IT jobs advertised in Kidlington.
Deep Learning
Co-Occurring Skills & Capabilities in Kidlington 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:
