Senior Machine Learning Engineer - Security Cleared

Searchability; City Of London; Hybride; GBP 117 000 - 143 000; Plein temps

Avantages offerts par ce poste

Hybrid work arrangement

On-site 2–4 days per week

Résumé du poste

Searchability is seeking a Senior Machine Learning Engineer in London with security clearance to deliver production-grade AI/ML systems. The role focuses on Python-driven backend development, scalable infrastructure, and deploying ML models into real-world environments.

You will lead architecture, collaborate with engineers and data scientists, mentor juniors, and ensure secure, reliable software in high-stakes settings.

Qualifications

• 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.

Responsabilités

• 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.

Connaissances

Python development

Backend development

ML lifecycle

PyTorch

TensorFlow

AWS

Docker

Kubernetes

Security

Stakeholder communication

Outils

PyTorch

TensorFlow

AWS

Docker

Kubernetes

Description du poste

SENIOR MACHINE LEARNING ENGINEER – SC / DV
NEW PERMANENT OPPORTUNITY AVAILABLE IN LONDON FOR A SECURITY CLEARED MACHINE LEARNING ENGINEER

• Salary: Up to £130,000
• Location: London – Hybrid
• Working Pattern: Hybrid, 2–4 days per week on-site depending on project requirements
• Clearance: SC or DV Cleared (DV preferred)

I'm currently working with an organisation operating within the AI and National Security space that is looking for a Senior Machine Learning Engineer to join their team.

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.

THE ROLE

• 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.

WHAT THEY'RE LOOKING FOR

• 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.

INTERESTED?

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.