Machine Learning Engineer in UNITED KINGDOM

MLOps Engineer

Skills/Exposure: Python, Pytorch/ TensorFlow, AWS/GCP, Docker, Kubernetes, Kubeflow / MLFlow & CI/CD Pipelines

Salary: Up to £70,000 to £80,000

Location: United Kingdom, Fully Remote

We’ve partnered with a small but mighty generative AI-driven software house that is looking for an MLOps Engineer to develop and secure a platform that will host a new range of products due to hit the market later this year.

The successful MLOps Engineer will help scope, design, build, and automate scalable ML platforms within a close-knit team. The role involves managing ML model lifecycles, optimising performance, and ensuring secure, compliant operations. You'll collaborate with data scientists and engineers, integrate MLOps tools and frameworks, and adapt to new technologies to support business goals.

Skills You'll Need:

• Two years of experience supporting environments on Machine Learning / MLOps platforms.
• Strong experience with cloud platforms like AWS or GCP
• Docker and Kubernetes for managing ML workloads
• Skilled in Python and familiar with ML libraries such as Tensorflow
• Proven ability to build, deploy, and maintain scalable ML platforms.
• Experience with CI/CD pipelines for ML.
• Early start-up experience would be a significant bonus as the team is highly agile.

Why them?

You can expect a starting salary ranging from£€70,000 to £80,000, depending on experience, a competitive benefits package, and the chance to work anywhere in Europe.

If you're an MLOps Engineer, you won't be disappointed, so hit apply for immediate consideration. However, please note that our client can't offer sponsorship now.