Machine Learning (ML)
Hertfordshire > Broxbourne
The table below provides summary statistics and salary benchmarking for jobs advertised in Broxbourne requiring Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 18 January 2026, with comparisons to the same periods in the previous two years.
| 6 months to 18 Jan 2026 |
Same period 2025 | Same period 2024 | |
|---|---|---|---|
| Rank | 4 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Machine Learning | 9 | 0 | 0 |
| As % of all permanent jobs in Broxbourne | 20.93% | - | - |
| As % of the Processes & Methodologies category | 33.33% | - | - |
| Number of salaries quoted | 1 | 0 | 0 |
| 10th Percentile | - | - | - |
| 25th Percentile | £55,000 | - | - |
| Median annual salary (50th Percentile) | £60,000 | - | - |
| 75th Percentile | £65,000 | - | - |
| 90th Percentile | - | - | - |
| Hertfordshire median annual salary | £66,500 | £77,000 | £60,000 |
| % change year-on-year | -13.64% | +28.33% | -7.69% |
All Process & Methodology Skills
Broxbourne
Machine 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 Broxbourne.
| Permanent vacancies with a requirement for process or methodology skills | 27 | 0 | 7 |
| As % of all permanent jobs advertised in Broxbourne | 62.79% | - | 100.00% |
| Number of salaries quoted | 19 | 0 | 5 |
| 10th Percentile | £25,500 | - | £38,000 |
| 25th Percentile | £25,875 | - | £46,250 |
| Median annual salary (50th Percentile) | £33,500 | - | £60,000 |
| Median % change year-on-year | - | - | +33.33% |
| 75th Percentile | £56,250 | - | £65,000 |
| 90th Percentile | £58,000 | - | - |
| Hertfordshire median annual salary | £52,500 | £57,500 | £56,500 |
| % change year-on-year | -8.70% | +1.77% | +2.73% |
Machine Learning
Co-Occurring Skills & Capabilities in Broxbourne 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: