Machine Learning Engineer

🚀 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.

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!