As of 8 May 2024, there is not enough information available from job vacancies posted within the last 6 months to determine the median Machine Learning Scientist salary in Oxford.
6 months to 8 May 2024
Same period 2023
Same period 2022
Rank
61
-
-
Rank change year-on-year
-
-
-
Permanent jobs requiring a Machine Learning Scientist
The following table is for comparison with the above and includes summary statistics for all permanent IT job vacancies advertised in Oxford. Most job vacancies include a discernible job title that can be normalized. As such, the figures in the second row provide an indication of the number of permanent jobs in our overall sample.
Permanent vacancies in Oxford with a recognized job title
619
393
490
% of permanent jobs with a recognized job title
95.38%
85.25%
95.70%
Number of salaries quoted
463
278
293
10th Percentile
£30,000
£26,750
£28,550
25th Percentile
£40,000
£37,500
£36,250
Median annual salary (50th Percentile)
£52,500
£54,000
£60,000
Median % change year-on-year
-2.78%
-10.00%
+20.00%
75th Percentile
£63,750
£69,313
£68,750
90th Percentile
£75,000
£85,000
£80,000
Oxfordshire median annual salary
£47,500
£50,000
£52,500
% change year-on-year
-5.00%
-4.76%
+6.06%
Machine Learning Scientist Job Vacancy Trend in Oxford
Job postings that featured Machine Learning Scientist in the job title as a proportion of all IT jobs advertised in Oxford.
Machine Learning Scientist Salary Trend in Oxford
3-month moving average salary quoted in jobs citing Machine Learning Scientist in Oxford.
Machine Learning Scientist Skill Set Top 11 Co-occurring Skills and Capabilities in Oxford
For the 6 months to 8 May 2024, Machine Learning Scientist job roles required 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 featuring Machine Learning Scientist in the job title.
Machine Learning Scientist Skill Set 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:
