SC cleared Python developer

Opus Recruitment Solutions Ltd; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A consultancy is seeking an SC Cleared Python developer skilled with AWS for a 3-month contract. The role involves developing Python functionality for machine learning frameworks and managing deployments via Docker and CI/CD practices. Applicants should be ready to engage with data science activities and possess strong coding capabilities.

Qualifications

• Experience in Python programming and knowledge of data science are essential.
• Familiarity with AWS environments and containerization practices valued.
• Capability to configure CI/CD pipelines using GitLab CI and maintain infrastructure with Terraform.

Responsibilities

• Develop and enhance functionality in Python for dataset generation and model training.
• Create Docker images for AWS deployment and manage CI/CD pipelines for package deployment.
• Configure Terraform modules for infrastructure deployment in AWS.

Skills

Python

Docker

CI/CD

Terraform

Job description

I am working with a consultancy who are looking for a SC Cleared Python developer with AWS experience. Candidates must be able to occasionally travel to London, Manchester, Leeds or Newcastle hubs.

This is a 3 month inside IR35 contract.
Rate - £310 per day.

Responsabilities:

• Python:
  • Developing and enhancing functionality to the Feature Vector Generation (FVG) and Machine Learning Framework (MLF) packages, used to handle dataset generation for model training, and model training respectively.
  • Data Science knowledge is desirable for the above as well, but knowing Python should allow an engineer to pick things up with a bit of support from the data scientist(s) within the team.
• Docker:
  • Creating and managing images to allow the Python packages described above to be run in AWS via Elastic Container Service (ECS)
• CI/CD: GitLab CI
  • Configuring pipelines to facilitate the deployment of the previously mentioned Python packages to various environments. Stages include unit tests, package building and security scanning, Docker image building and scanning.
  • Configuring and maintaining pipelines to deploy infrastructure for the Model Training Environment (MTE) to various AWS environments.
• IaC: Terraform
  • Configuring and updating terraform modules to deploy various applications and infrastructure into AWS environments

If this is something of interest, please apply.