

SC Cleared Python Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an SC Cleared Python Developer with AWS experience for a 3-month contract at £310 per day. Key skills include Python, Docker, Terraform, and CI/CD. Occasional travel to London, Manchester, Leeds, or Newcastle is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
-
🗓️ - Date discovered
June 11, 2025
🕒 - Project duration
3 to 6 months
-
🏝️ - Location type
Hybrid
-
📄 - Contract type
Inside IR35
-
🔒 - Security clearance
Yes
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Docker #Security #Infrastructure as Code (IaC) #ML (Machine Learning) #Data Science #AWS (Amazon Web Services) #Python #Terraform #Deployment #GitLab
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
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.