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# Machine Learning Engineer

- **Company:** Understanding Recruitment
- **Location:** Greater London, UK
- **Contract:** Permanent contract
- **Skills:** Multitier Architecture, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Distributed Systems, Django Web Framework, Python (Programming Language), Machine Learning, Tensorflow, Pytorch, Flask (Web Framework), Large Language Models, Backend, Fastapi, Scikit Learn, Kubernetes, Machine Learning Operations, Docker
- **Published:** November 4, 2026
- **Apply:** https://www.understandingrecruitment.com/job/machine-learning-engineer-9314/

## About the Role

I'm partnering with an ambitious technology company looking for a Machine Learning Engineer with excellent software engineering fundamentals.

This isn't a traditional research or Data Science role. We're looking for someone who can take ML models beyond notebooks and build scalable, reliable, production-grade AI systems.

🔧 What we're looking for:

 * Strong commercial Python experience and solid software engineering fundamentals.
 * Experience building backend services and APIs using FastAPI, Flask or Django.
 * Hands-on experience deploying and maintaining ML models in production.
 * Familiarity with PyTorch, TensorFlow or scikit-learn.
 * Experience with AWS, GCP or Azure, Docker and CI/CD.
 * A strong understanding of scalable systems, testing and clean architecture.

␠Bonus: MLOps, Kubernetes, model serving, LLMs or distributed systems.

We're particularly interested in ML Engineers with strong backend skills or Python Software Engineers with production ML experience.

If you enjoy building real-world AI applications rather than just experimenting with models, I'd love to hear from you. Apply now!

## Description

🚀 Machine Learning Engineer

Python & Production AI

Strong Python engineer who knows how to make AI work in production?

I'm partnering with an ambitious technology company looking for a Machine Learning Engineer with excellent software engineering fundamentals.

This isn't a traditional research or Data Science role. We're looking for someone who can take ML models beyond notebooks and build scalable, reliable, production-grade AI systems.

🔧 What we're looking for:

 * Strong commercial Python experience and solid software engineering fundamentals.
 * Experience building backend services and APIs using FastAPI, Flask or Django.
 * Hands-on experience deploying and maintaining ML models in production.
 * Familiarity with PyTorch, TensorFlow or scikit-learn.
 * Experience with AWS, GCP or Azure, Docker and CI/CD.
 * A strong understanding of scalable systems, testing and clean architecture.

␠Bonus: MLOps, Kubernetes, model serving, LLMs or distributed systems.

We're particularly interested in ML Engineers with strong backend skills or Python Software Engineers with production ML experience.

If you enjoy building real-world AI applications rather than just experimenting with models, I'd love to hear from you. Apply now!

Please note - visa sponsorship is not available.