The following table provides summary statistics for permanent job vacancies advertised in Milton Keynes with a requirement for Machine Learning skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Machine Learning over the 6 months to 19 September 2020 with a comparison to the same period in the previous 2 years.
Machine Learning 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 Milton Keynes with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
412
1,419
1,401
As % of all permanent IT jobs advertised in Milton Keynes
93.21%
91.55%
94.53%
Number of salaries quoted
328
1,012
1,129
Median annual salary
£55,000
£50,000
£45,000
Median salary % change year-on-year
+10.00%
+11.11%
-
10th Percentile
£36,250
£27,500
£26,902
90th Percentile
£75,000
£71,582
£63,750
Buckinghamshire median annual salary
£52,500
£50,000
£45,000
% change year-on-year
+5.00%
+11.11%
+3.54%
Machine Learning Job Vacancy Trend in Milton Keynes
Job postings citing Machine Learning as a proportion of all IT jobs advertised in Milton Keynes.
Machine Learning Salary Trend in Milton Keynes
3-month moving average salary quoted in jobs citing Machine Learning in Milton Keynes.
Machine Learning Salary Histogram in Milton Keynes
Salary distribution for jobs citing Machine Learning in Milton Keynes over the 6 months to 19 September 2020.
Machine Learning Top 30 Co-occurring IT Skills in Milton Keynes
For the 6 months to 19 September 2020, IT jobs citing Machine Learning also mentioned the following skills in order of popularity.
The figures indicate the absolute number co-occurrences and as a proportion of all permanent job ads across the Milton Keynes region with a requirement for Machine Learning.
Machine Learning Co-occurring IT Skills in Milton Keynes by Category
The follow tables expand on the table above by listing co-occurrences grouped by category.
The same job type, locality and period is covered with up to 20 co-occurrences shown in each of the following categories:
