Feature Engineering
West Yorkshire > Leeds
The table below provides summary statistics and salary benchmarking for jobs advertised in Leeds requiring Feature Engineering skills. It covers permanent job vacancies from the 6 months leading up to 9 January 2026, with comparisons to the same periods in the previous two years.
| 6 months to 9 Jan 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 102 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Feature Engineering | 1 | 0 | 0 |
| As % of all permanent jobs in Leeds | 0.075% | - | - |
| As % of the Processes & Methodologies category | 0.094% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £75,000 | - | - |
| Median annual salary (50th Percentile) | £80,000 | - | - |
| 75th Percentile | £85,000 | - | - |
| 90th Percentile | - | - | - |
| West Yorkshire median annual salary | £80,000 | - | - |
All Process & Methodology Skills
Leeds
Feature Engineering 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 Leeds.
| Permanent vacancies with a requirement for process or methodology skills | 1,059 | 906 | 1,250 |
| As % of all permanent jobs advertised in Leeds | 79.39% | 88.65% | 92.52% |
| Number of salaries quoted | 693 | 511 | 913 |
| 10th Percentile | £28,250 | £29,250 | £31,250 |
| 25th Percentile | £40,000 | £41,000 | £42,500 |
| Median annual salary (50th Percentile) | £60,000 | £54,000 | £55,000 |
| Median % change year-on-year | +11.11% | -1.82% | -2.65% |
| 75th Percentile | £77,500 | £71,250 | £73,750 |
| 90th Percentile | £90,000 | £84,964 | £87,500 |
| West Yorkshire median annual salary | £57,500 | £52,500 | £55,000 |
| % change year-on-year | +9.52% | -4.55% | - |
Feature Engineering
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: