The following table provides summary statistics for permanent job vacancies advertised in Bristol with a requirement for Deep Learning skills. Included is a benchmarking guide to the salaries offered in vacancies that have cited Deep Learning over the 6 months to 3 June 2024 with a comparison to the same period in the previous 2 years.
Deep 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 Bristol with a requirement for process or methodology skills.
Permanent vacancies with a requirement for process or methodology skills
2,853
2,392
3,353
As % of all permanent jobs advertised in Bristol
85.11%
95.57%
97.50%
Number of salaries quoted
2,125
1,425
2,153
10th Percentile
£32,500
£34,723
£32,000
25th Percentile
£42,500
£43,162
£41,250
Median annual salary (50th Percentile)
£57,500
£59,191
£55,000
Median % change year-on-year
-2.86%
+7.62%
+15.79%
75th Percentile
£71,250
£72,647
£75,000
90th Percentile
£87,500
£87,419
£85,000
South West median annual salary
£51,000
£54,545
£50,000
% change year-on-year
-6.50%
+9.09%
+8.11%
Deep Learning Job Vacancy Trend in Bristol
Job postings citing Deep Learning as a proportion of all IT jobs advertised in Bristol.
Deep Learning Salary Trend in Bristol
3-month moving average salary quoted in jobs citing Deep Learning in Bristol.
Deep Learning Salary Histogram in Bristol
Salary distribution for jobs citing Deep Learning in Bristol over the 6 months to 3 June 2024.
Deep Learning Top 30 Co-occurring Skills and Capabilities in Bristol
For the 6 months to 3 June 2024, job vacancies citing Deep Learning 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 Bristol region with a requirement for Deep Learning.
Deep Learning Co-occurring Skills and Capabilities in Bristol 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:
