Senior Machine Learning Engineer

Searchability NS&D; Greater London; Hybride; GBP 78 000 - 130 000; Plein temps

Résumé du poste

Searchability NS&D in London hybrid is seeking a Senior Machine Learning Engineer to design and deliver production-ready AI/ML solutions, focusing on Python backend development and scalable ML systems.

You will work with PyTorch/TensorFlow, deploy on AWS, and use Docker/Kubernetes, mentoring engineers and shaping engineering standards while ensuring security and reliability in critical environments.

Qualifications

• Strong Python development and software engineering background.
• Experience building scalable backend applications.
• Understanding ML lifecycle and production deployment.

Responsabilités

• Lead technical scoping and architectural decisions for AI/ML projects.
• Design and develop production-grade software and scalable infrastructure using Python.
• Build robust backend systems and reusable components for model deployment and operation.
• Operationalise models with PyTorch/TensorFlow and cloud platforms.
• Collaborate with engineers and data scientists to deliver client solutions.
• Mentor junior engineers and shape engineering standards.

Connaissances

Python development

Backend development

ML deployment

PyTorch

TensorFlow

Cloud platforms (AWS)

Docker

Kubernetes

Security & architecture

Clearance (SC/DV)

Outils

Docker

Kubernetes

AWS

Description du poste

SENIOR MACHINE LEARNING ENGINEER – SC / DV

• Salary: Up to £130,000
• Location: London – Hybrid
• 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.