Natural Language Processing (NLP) Berkshire> Reading
The following table provides summary statistics for permanent job vacancies advertised in Reading with a requirement for Natural Language Processing skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Natural Language Processing over the 6 months to 26 April 2024 with a comparison to the same period in the previous 2 years.
Natural Language Processing is in the Processes and Methodologies category. The following table is for comparison with the above and provides summary statistics for all permanent job vacancies advertised in Reading with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
1,513
1,563
1,612
As % of all permanent jobs advertised in Reading
88.38%
96.84%
92.59%
Number of salaries quoted
923
822
929
10th Percentile
£30,000
£31,250
£31,250
25th Percentile
£39,380
£41,250
£43,750
Median annual salary (50th Percentile)
£55,000
£60,000
£60,000
Median % change year-on-year
-8.33%
-
-
75th Percentile
£70,000
£77,500
£75,000
90th Percentile
£81,250
£92,500
£82,500
Berkshire median annual salary
£54,000
£58,500
£57,500
% change year-on-year
-7.69%
+1.74%
+4.55%
Natural Language Processing Job Vacancy Trend in Reading
Job postings citing Natural Language Processing as a proportion of all IT jobs advertised in Reading.
Natural Language Processing Salary Trend in Reading
3-month moving average salary quoted in jobs citing Natural Language Processing in Reading.
Natural Language Processing Top 3 Co-occurring Skills and Capabilities in Reading
For the 6 months to 26 April 2024, 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 Reading region with a requirement for Natural Language Processing.
Natural Language Processing Co-occurring Skills and Capabilities in Reading 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:
