Reinforcement Learning Job Trends in Leeds

Reinforcement Learning
West Yorkshire > Leeds

The table below provides summary statistics and salary benchmarking for jobs advertised in Leeds requiring Reinforcement Learning skills. It covers vacancies from the 6 months leading up to 14 September 2025, with comparisons to the same periods in the previous two years.

6 months to
14 Sep 2025
Same period 2024 Same period 2023
Rank 78 - 117
Rank change year-on-year - - -
Permanent jobs citing Reinforcement Learning 1 0 6
As % of all permanent jobs advertised in Leeds 0.11% - 0.35%
As % of the Processes & Methodologies category 0.13% - 0.37%
Number of salaries quoted 1 0 2
10th Percentile - - £82,500
25th Percentile £68,000 - £84,375
Median annual salary (50th Percentile) £71,000 - £92,500
75th Percentile £74,000 - £104,375
90th Percentile - - £108,500
West Yorkshire median annual salary £71,000 - £92,500

All Process and Methodology Skills
Leeds

Reinforcement Learning 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 Leeds.

Permanent vacancies with a requirement for process or methodology skills 778 1,361 1,641
As % of all permanent jobs advertised in Leeds 85.78% 77.99% 96.08%
Number of salaries quoted 524 889 1,213
10th Percentile £30,000 £32,900 £31,250
25th Percentile £42,500 £42,500 £42,500
Median annual salary (50th Percentile) £60,000 £55,000 £56,500
Median % change year-on-year +9.09% -2.65% +2.73%
75th Percentile £73,750 £70,000 £75,000
90th Percentile £89,250 £84,971 £88,750
West Yorkshire median annual salary £55,000 £55,000 £55,000

Reinforcement Learning
Job Vacancy Trend in Leeds

Job postings citing Reinforcement Learning as a proportion of all IT jobs advertised in Leeds.

Job vacancy trend for Reinforcement Learning in Leeds

Reinforcement Learning
Co-occurring Skills and Capabilities in Leeds 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:

Cloud Services
1 1 (100.00%) Amazon EC2
1 1 (100.00%) Amazon S3
1 1 (100.00%) Amazon SageMaker
1 1 (100.00%) AWS
1 1 (100.00%) AWS CloudFormation
1 1 (100.00%) AWS Lambda
1 1 (100.00%) GCP
1 1 (100.00%) Serverless
Database & Business Intelligence
1 1 (100.00%) Big Data
1 1 (100.00%) DynamoDB
Job Titles
1 1 (100.00%) Machine Learning Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Dask
1 1 (100.00%) Kafka
1 1 (100.00%) NumPy
1 1 (100.00%) Pandas
1 1 (100.00%) PyTorch
1 1 (100.00%) SciPy
1 1 (100.00%) TensorFlow
Operating Systems
1 1 (100.00%) Unix
Processes & Methodologies
1 1 (100.00%) Bayesian Methods
1 1 (100.00%) CI/CD
1 1 (100.00%) Cloud Security
1 1 (100.00%) Data Engineering
1 1 (100.00%) DevOps
1 1 (100.00%) Infrastructure as Code
1 1 (100.00%) Machine Learning
1 1 (100.00%) MLOps
1 1 (100.00%) Software Engineering
Programming Languages
1 1 (100.00%) Bash
1 1 (100.00%) Python
Qualifications
1 1 (100.00%) AWS Certification
System Software
1 1 (100.00%) Docker
Vendors
1 1 (100.00%) Google