NumPy Jobs in Plymouth

NumPy
Devon > Plymouth

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

6 months to
6 Jul 2025
Same period 2024 Same period 2023
Rank 20 - -
Rank change year-on-year - - -
Permanent jobs citing NumPy 1 0 0
As % of all permanent jobs advertised in Plymouth 0.85% - -
As % of the Libraries, Frameworks & Software Standards category 20.00% - -
Number of salaries quoted 0 0 0
Median annual salary (50th Percentile) - - -
Devon median annual salary - - -

All Software Libraries and Frameworks
Plymouth

NumPy 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 Plymouth.

Permanent vacancies with a requirement for technical specification, industry standards, software libraries and framework skills 5 34 32
As % of all permanent jobs advertised in Plymouth 4.24% 13.71% 21.77%
Number of salaries quoted 4 31 13
10th Percentile - £35,000 £34,094
25th Percentile £52,500 £40,000 £35,000
Median annual salary (50th Percentile) £62,500 £55,000 £52,700
Median % change year-on-year +13.64% +4.36% +0.38%
75th Percentile £72,500 - £72,500
90th Percentile - - -
Devon median annual salary £52,500 £50,000 £40,000
% change year-on-year +5.00% +25.00% -23.81%

NumPy
Job Vacancy Trend in Plymouth

Job postings citing NumPy as a proportion of all IT jobs advertised in Plymouth.

Job vacancy trend for NumPy in Plymouth

NumPy
Salary Trend in Plymouth

3-month moving average salary quoted in jobs citing NumPy in Plymouth.

Salary trend for NumPy in Plymouth

NumPy
Co-occurring Skills and Capabilities in Plymouth 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%) Pandas
1 1 (100.00%) PySpark
1 1 (100.00%) PyTorch
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