Senior Machine Learning Engineer - Security Cleared

• Lead technical scoping and architectural decisions for complex AI/ML projects.
• Design and develop production-grade software, tools and scalable infrastructure using Python.
• Build robust backend systems and reusable components to support the deployment and operation of machine learning models.
• Help integrate and operationalise models built using frameworks such as PyTorch and TensorFlow.
• Work with cloud platforms including AWS, Azure or GCP, alongside Docker and Kubernetes.
• Establish engineering best practices for deploying and maintaining ML systems at scale.
• Collaborate with software engineers, data scientists and wider technical teams to deliver solutions to client challenges.
• Provide technical guidance to customers and stakeholders, while mentoring junior engineers and helping shape engineering standards.

• Strong Python development skills and a solid background in software engineering.
• Experience building scalable backend applications, services or production-grade software systems.
• A good understanding of the machine learning lifecycle, particularly integrating and deploying models into production.
• Hands-on experience with ML frameworks such as PyTorch or TensorFlow.
• Experience with cloud infrastructure, ideally AWS, alongside Docker and Kubernetes.
• An understanding of software architecture, security, testing and maintainable code.
• The ability to take ownership of technical decisions, communicate with stakeholders and support the development of other engineers.
• Active SC or DV clearance, with DV preferred., If you’re a strong Python Engineer with experience in machine learning and a passion for building AI systems that work in production, I’d be keen to hear from you.

This is a hands-on engineering role focused on building production-ready AI/ML solutions, with a strong emphasis on Python development, backend engineering and deploying machine learning systems into real-world environments.

You’ll work alongside engineers and data scientists on complex projects, helping turn ML capabilities into scalable, secure and reliable software used to solve critical challenges.