Production ML Engineer - Cloud, Docker & Scalable AI

Anson McCade; England; On-site; GBP 70,000 - 120,000; Full time

Job summary

Anson McCade is seeking a Machine Learning Engineer to join a rapidly growing AI organisation delivering high-impact projects across National Security, Government and cutting-edge technology. The role focuses on taking ML from lab to production, bridging software engineering, ML and cloud infrastructure.

You will build and deploy production ML software, develop scalable solutions and work with engineers, data scientists and clients.

Qualifications

• Proficient Python and software engineering capabilities.
• Experience deploying ML models to production.
• Strong understanding of the ML lifecycle.
• Experience with cloud platforms (AWS/Azure/GCP).
• Hands-on with Docker and Kubernetes.
• Strong communication with technical and non-technical stakeholders.

Responsibilities

• Build and deploy production-grade ML software and tooling.
• Develop scalable and reusable ML solutions.
• Collaborate with engineers, data scientists, and clients.
• Contribute to technical architecture and design.
• Advise clients and translate ML concepts into practical solutions.

Skills

Python

ML lifecycle

Cloud platforms (AWS/Azure/GCP)

Communication skills

Tools

Docker

Kubernetes

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

Anson McCade is seeking a Machine Learning Engineer to join a rapidly growing AI organisation delivering high-impact projects across National Security, Government and cutting-edge technology. The role focuses on taking ML from lab to production, bridging software engineering, ML and cloud infrastructure.

You will build and deploy production ML software, develop scalable solutions and work with engineers, data scientists and clients.