PyTorch Jobs in Northampton

PyTorch
Northamptonshire > Northampton

The table below provides summary statistics for permanent job vacancies advertised in Northampton requiring PyTorch skills. It includes a benchmarking guide to the annual salaries offered in vacancies that cited PyTorch over the 6 months leading up to 3 July 2025, comparing them to the same period in the previous two years.

6 months to
3 Jul 2025
Same period 2024 Same period 2023
Rank 51 - -
Rank change year-on-year - - -
Permanent jobs citing PyTorch 1 0 0
As % of all permanent jobs advertised in Northampton 0.23% - -
As % of the Libraries, Frameworks & Software Standards category 4.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Northamptonshire median annual salary - - -

All Software Libraries and Frameworks
Northampton

PyTorch falls under the Software Libraries and Frameworks category. For comparison with the information above, the following table provides summary statistics for all permanent job vacancies requiring technical specification, industry standards, software libraries and framework skills in Northampton.

Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 25 61 56
As % of all permanent jobs advertised in Northampton 5.73% 10.95% 21.21%
Number of salaries quoted 19 53 25
10th Percentile £36,250 - £31,500
25th Percentile £43,750 £36,250 £38,250
Median annual salary (50th Percentile) £55,000 £47,500 £50,000
Median % change year-on-year +15.79% -5.00% -9.09%
75th Percentile £72,500 £53,250 £58,750
90th Percentile £80,050 £70,000 £74,750
Northamptonshire median annual salary £52,500 £45,000 £50,000
% change year-on-year +16.67% -10.00% -9.09%

PyTorch
Job Vacancy Trend in Northampton

Job postings citing PyTorch as a proportion of all IT jobs advertised in Northampton.

Job vacancy trend for PyTorch in Northampton

PyTorch
Co-occurring Skills and Capabilities in Northampton 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:

Application Platforms
1 1 (100.00%) Apache Spark
Cloud Services
1 1 (100.00%) Amazon EKS
1 1 (100.00%) Amazon ELB
1 1 (100.00%) Amazon S3
1 1 (100.00%) AWS
Database & Business Intelligence
1 1 (100.00%) Delta Lake
1 1 (100.00%) DynamoDB
1 1 (100.00%) Metadata
1 1 (100.00%) Spark SQL
Development Applications
1 1 (100.00%) MLflow
General
1 1 (100.00%) Social Skills
Job Titles
1 1 (100.00%) Machine Learning Engineer
1 1 (100.00%) Operations Engineer
Libraries, Frameworks & Software Standards
1 1 (100.00%) Keras
1 1 (100.00%) Lambda Expressions
1 1 (100.00%) Metaflow
1 1 (100.00%) NumPy
1 1 (100.00%) Pandas
1 1 (100.00%) PySpark
1 1 (100.00%) scikit-learn
1 1 (100.00%) TensorFlow
1 1 (100.00%) YAML
Miscellaneous
1 1 (100.00%) Linux Command Line
Operating Systems
1 1 (100.00%) Unix
Processes & Methodologies
1 1 (100.00%) Artificial Intelligence
1 1 (100.00%) CI/CD
1 1 (100.00%) Containerisation
1 1 (100.00%) Data Science
1 1 (100.00%) Deployment Automation
1 1 (100.00%) Information Security
1 1 (100.00%) Machine Learning
1 1 (100.00%) Metadata Management
1 1 (100.00%) MLOps
1 1 (100.00%) OO
1 1 (100.00%) OOP
1 1 (100.00%) OWASP
1 1 (100.00%) Time Management
1 1 (100.00%) Unit Testing
1 1 (100.00%) Visualisation
Programming Languages
1 1 (100.00%) Python
1 1 (100.00%) SQL
System Software
1 1 (100.00%) Docker
Systems Management
1 1 (100.00%) Kubeflow
1 1 (100.00%) Kubernetes
1 1 (100.00%) Terraform
Vendors
1 1 (100.00%) Databricks