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MLOps Engineer

Job Description

MLOPS ENGINEER

We are seeking a highly skilled MLOps Engineer to join the team at our London-based AI-driven tech company. The successful candidate will have a strong background in cloud solutions design and implementation, as well as experience with Docker and Kubernetes.

In this role, you will be responsible for building MLOps pipelines and developing a framework to test services. You will also play a key role in the productionisation of their core ML-driven projects (and therefore adding tremendous value with everything that you work on!)

To be successful in this role, you should have the following skills and experience:

  • Strong experience with cloud solutions design and implementation, particularly with AWS
  • Proficiency with Docker and Kubernetes
  • Experience building MLOps pipelines
  • Ability to develop a framework to test services
  • Contribution to productionisation projects


If you are a skilled MLOps Engineer with a passion for building and maintaining reliable and scalable systems, we encourage you to apply for this exciting opportunity. Our client offers a dynamic and collaborative work environment, as well as the opportunity to work on cutting-edge projects that make a real impact. As importantly, this is a mature Data function with an established ML, Data Eng, and ML Ops way of working.

For more information on this and other roles, please contact me via niall.wharton@xcede.com