Feature Engineering Job Trends in York

Feature Engineering
North Yorkshire > York

The table below provides summary statistics and salary benchmarking for jobs advertised in York requiring Feature Engineering skills. It covers permanent job vacancies from the 6 months leading up to 14 August 2026, with comparisons to the same periods in the previous two years.

6 months to
14 Aug 2026
Same period 2025 Same period 2024
Rank 35 - -
Rank change year-on-year - - -
Permanent jobs citing Feature Engineering 1 0 0
As % of all permanent jobs in York 0.34% - -
As % of the Processes & Methodologies category 0.45% - -
Number of salaries quoted 1 0 0
10th Percentile - - -
25th Percentile £62,500 - -
Median annual salary (50th Percentile) £65,000 - -
75th Percentile £67,500 - -
90th Percentile - - -
North Yorkshire median annual salary £65,000 - -

All Process & Methodology Skills
York

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 York.

Permanent vacancies with a requirement for process or methodology skills 221 472 357
As % of all permanent jobs advertised in York 74.41% 96.13% 80.04%
Number of salaries quoted 144 48 151
10th Percentile £30,000 £30,875 £27,500
25th Percentile £40,000 £45,938 £41,875
Median annual salary (50th Percentile) £50,000 £60,000 £55,000
Median % change year-on-year -16.67% +9.09% -8.33%
75th Percentile £63,000 £70,000 £65,000
90th Percentile £87,500 £90,000 £72,500
North Yorkshire median annual salary £45,000 £44,750 £45,000
% change year-on-year +0.56% -0.56% -14.29%

Feature Engineering
Job Vacancy Trend in York

Historical trend showing the proportion of permanent IT job postings citing Feature Engineering relative to all permanent IT jobs advertised in York.

Feature Engineering job vacancy trend in York

Feature Engineering
Co-Occurring Skills & Capabilities in York 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:

Cloud Services
1 1 (100.00%) AWS
1 1 (100.00%) Azure
1 1 (100.00%) GCP
General
1 1 (100.00%) Finance
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Data Scientist
Processes & Methodologies
1 1 (100.00%) Clean Code
1 1 (100.00%) Data Science
1 1 (100.00%) Decision-Making
1 1 (100.00%) Machine Learning
1 1 (100.00%) MLOps
1 1 (100.00%) Stakeholder Management
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL