Senior Python Software Engineer - Security Cleared

SENIOR PYTHON SOFTWARE ENGINEER - SC / DV CLEARED

NEW PERMANENT OPPORTUNITY AVAILABLE

Salary: Up to £100,000 base
Location: London
Working Pattern: Hybrid - 2-4 days per week on-site
Clearance: Active SC or DV
Type: Permanent

I'm currently working with an organisation delivering innovative AI and software solutions within the UK Defence sector, who are looking for a strongPython Backend Engineer with knowledge of machine learning to join their growing team.

THE ROLE

This is a hands‑on engineering role focused on building scalable backend applications, services and infrastructure that support AI and machine learning solutions. You'll work alongside data scientists and other engineers to turn ML capabilities into reliable, production-ready software, with a focus on software engineering rather than developing models from scratch.

Responsibilities include:

• Designing, developing and maintaining scalable backend applications and services using Python.
• Building APIs, integrations and software infrastructure to support AI and machine learning solutions.
• Working alongside data scientists to integrate and operationalise ML models within production systems.
• Developing reusable software components and tools to improve the delivery of AI-enabled applications.
• Working with cloud platforms such as AWS, Azure or GCP.
• Using Docker and Kubernetes to build, deploy and manage applications at scale.
• Contributing to software architecture, technical design and engineering best practices.
• Making technical decisions to ensure solutions are scalable, secure and maintainable.
• Collaborating with engineers, data scientists and client stakeholders to deliver complex technical projects.

WHAT THEY'RE LOOKING FOR

• Strong commercial experience developing backend applications and services using Python.
• Solid software engineering fundamentals, including clean code, testing and maintainable system design.
• Experience building APIs, integrations and scalable software systems.
• Knowledge of machine learning concepts and an understanding of how ML models are deployed and used in production.
• Experience working with ML-enabled applications or integrating models built using frameworks such as Scikit-learn, TensorFlow or PyTorch.
• Experience with cloud platforms such as AWS, Azure or GCP.
• Familiarity with Docker, Kubernetes and modern software deployment practices.
• An understanding of infrastructure, application security and production environments.
• Strong problem-solving skills and the ability to collaborate with multidisciplinary teams.
• Active SC or DV security clearance.