Natural Language Processing (NLP) Oxfordshire> Oxford
The table below provides summary statistics for permanent job vacancies advertised in Oxford requiring Natural Language Processing skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited Natural Language Processing over the 6 months leading up to 12 July 2025, comparing them to the same period in the previous two years.
Natural Language Processing 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 Oxford.
Permanent vacancies with a requirement for process or methodology skills
236
547
425
As % of all permanent jobs advertised in Oxford
97.52%
87.66%
96.59%
Number of salaries quoted
158
388
276
10th Percentile
£34,175
£28,500
£32,500
25th Percentile
£45,000
£40,000
£45,000
Median annual salary (50th Percentile)
£60,000
£52,500
£57,500
Median % change year-on-year
+14.29%
-8.70%
-
75th Percentile
£75,000
£65,000
£72,500
90th Percentile
£93,250
£80,000
£82,500
Oxfordshire median annual salary
£55,000
£50,000
£55,000
% change year-on-year
+10.00%
-9.09%
+4.76%
Natural Language Processing Job Vacancy Trend in Oxford
Job postings citing Natural Language Processing as a proportion of all IT jobs advertised in Oxford.
Natural Language Processing Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Natural Language Processing in Oxford.
Natural Language Processing Top 19 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 12 July 2025, job vacancies citing Natural Language Processing also mentioned the following skills and capabilities in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Oxford region with a requirement for Natural Language Processing.
Natural Language Processing Co-occurring Skills and Capabilities in Oxford by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same employment type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
