Machine Learning (ML)
Essex > Grays
The table below provides summary statistics and salary benchmarking for jobs advertised in Grays requiring Machine Learning skills. It covers permanent job vacancies from the 6 months leading up to 4 June 2026, with comparisons to the same periods in the previous two years.
|
|
6 months to 4 Jun 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 5 | - | - |
| Rank change year-on-year | - | - | - |
| Permanent jobs citing Machine Learning | 6 | 0 | 0 |
| As % of all permanent jobs in Grays | 22.22% | - | - |
| As % of the Processes & Methodologies category | 22.22% | - | - |
| Number of salaries quoted | 0 | 0 | 0 |
| Median annual salary (50th Percentile) | - | - | - |
| Essex median annual salary | £90,000 | £55,000 | £47,500 |
| % change year-on-year | +63.64% | +15.79% | -2.10% |
All Process & Methodology Skills
Grays
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 Grays.
| Permanent vacancies with a requirement for process or methodology skills | 27 | 9 | 13 |
| As % of all permanent jobs advertised in Grays | 100.00% | 100.00% | 46.43% |
| Number of salaries quoted | 13 | 6 | 13 |
| 10th Percentile | £40,000 | - | - |
| 25th Percentile | - | £42,500 | £26,000 |
| Median annual salary (50th Percentile) | £55,000 | £45,000 | £60,000 |
| Median % change year-on-year | +22.22% | -25.00% | - |
| 75th Percentile | - | £47,500 | £65,000 |
| 90th Percentile | - | - | £68,750 |
| Essex median annual salary | £50,000 | £40,000 | £45,000 |
| % change year-on-year | +25.00% | -11.11% | -5.24% |
Machine Learning
Job Vacancy Trend in Grays
Historical trend showing the proportion of permanent IT job postings citing Machine Learning relative to all permanent IT jobs advertised in Grays.
Machine Learning
Co-Occurring Skills & Capabilities in Grays 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: