scikit-learn
UK
The table below provides summary statistics and salary benchmarking for jobs requiring scikit-learn skills. It covers permanent job vacancies from the 6 months leading up to 3 June 2026, with comparisons to the same periods in the previous two years.
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6 months to 3 Jun 2026 |
Same period 2025 | Same period 2024 |
|---|---|---|---|
| Rank | 596 | 601 | 801 |
| Rank change year-on-year | +5 | +200 | +55 |
| Permanent jobs citing scikit-learn | 137 | 66 | 96 |
| As % of all permanent jobs in the UK | 0.15% | 0.15% | 0.094% |
| As % of the Libraries, Frameworks & Software Standards category | 1.48% | 0.77% | 0.46% |
| Number of salaries quoted | 68 | 33 | 30 |
| 10th Percentile | - | £62,000 | £32,500 |
| 25th Percentile | £33,750 | £75,000 | £55,625 |
| Median annual salary (50th Percentile) | £37,500 | £87,500 | £65,000 |
| Median % change year-on-year | -57.14% | +34.62% | -13.33% |
| 75th Percentile | £41,250 | £111,250 | £86,250 |
| 90th Percentile | £75,000 | £132,000 | £110,500 |
| UK excluding London median annual salary | £37,500 | £80,000 | £65,000 |
| % change year-on-year | -53.13% | +23.08% | +4.00% |
All Software Libraries and Frameworks
UK
scikit-learn falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills.
| Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills | 9,265 | 8,521 | 20,912 |
| As % of all permanent jobs advertised in the UK | 9.94% | 19.58% | 20.39% |
| Number of salaries quoted | 6,864 | 5,709 | 16,025 |
| 10th Percentile | £40,000 | £38,750 | £36,250 |
| 25th Percentile | £50,000 | £51,250 | £45,000 |
| Median annual salary (50th Percentile) | £65,000 | £66,206 | £60,000 |
| Median % change year-on-year | -1.82% | +10.34% | -11.11% |
| 75th Percentile | £85,000 | £87,500 | £78,750 |
| 90th Percentile | £100,000 | £111,250 | £100,000 |
| UK excluding London median annual salary | £60,000 | £60,000 | £55,000 |
| % change year-on-year | - | +9.09% | -4.35% |
scikit-learn
Job Vacancy Trend
Historical trend showing the proportion of permanent IT job postings citing scikit-learn relative to all permanent IT jobs advertised.
scikit-learn
Salary Trend
Salary distribution trend for jobs in the UK citing scikit-learn.
scikit-learn
Salary Histogram
Salary distribution for jobs citing scikit-learn over the 6 months to 3 June 2026.
scikit-learn
Top 16 Job Locations
The table below looks at the demand and provides a guide to the median salaries quoted in IT jobs citing scikit-learn within the UK over the 6 months to 3 June 2026. The 'Rank Change' column provides an indication of the change in demand within each location based on the same 6 month period last year.
| Location | Rank Change on Same Period Last Year |
Matching Permanent IT Job Ads |
Median Salary Past 6 Months |
Median Salary % Change on Same Period Last Year |
Live Jobs |
|---|---|---|---|---|---|
| England | -2 | 122 | £37,500 | -58.33% | 107 |
| UK excluding London | -10 | 77 | £37,500 | -53.13% | 81 |
| London | +6 | 49 | £51,000 | -46.32% | 44 |
| North of England | -7 | 35 | £37,500 | -53.13% | 19 |
| Work from Home | +5 | 18 | £70,000 | - | 27 |
| North West | +7 | 17 | £37,500 | -56.01% | 12 |
| Midlands | -15 | 17 | £37,500 | -29.91% | 13 |
| Yorkshire | -39 | 13 | £37,500 | -41.41% | 3 |
| East of England | -20 | 9 | - | - | 6 |
| West Midlands | -29 | 9 | £37,500 | -29.91% | 3 |
| East Midlands | - | 8 | £48,750 | - | 10 |
| Scotland | +1 | 6 | £37,500 | -46.43% | 4 |
| South West | -57 | 6 | £37,500 | -25.00% | 10 |
| North East | - | 5 | £37,500 | - | 4 |
| South East | -18 | 3 | £37,500 | -65.91% | 28 |
| Northern Ireland | - | 1 | - | - | 2 |
scikit-learn
Co-Occurring Skills & Capabilities 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:
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