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ML Engineer / MLOps Engineer - Remote

MYO Talent
Posted 14 days ago, valid for 25 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • One of our leading clients is seeking to hire a ML Engineer / MLOps Engineer for a remote permanent role with occasional meet-ups in London.
  • The position offers a salary range of £70,000 to £120,000, along with bonuses and benefits.
  • Candidates should have strong experience in ML Engineering or MLOps, specifically in deploying models to production and monitoring their performance.
  • Proficiency in Python, Kubernetes, Terraform, SQL, and cloud platforms such as Azure, AWS, or GCP is required.
  • Experience with infrastructure, including Windows and Linux, is desirable for applicants.

ML Engineer / MLOps Engineer / Machine Learning Operations / Python / Kubernetes / Terraform / SQL / Cloud (Azure/AWS/GCP) / Senior / Lead / Manager.

One of our leading clients is looking to recruit a ML Engineer / MLOps Engineer.

Location - Remote with meet ups in London

Permanent role

Salary £70,000 - 120,000 + bonus + benefits

Experience:

  • Strong ML Engineering / MLOps
  • Deploying models to production
  • Monitoring model performance
  • Retraining models
  • Data pipelines
  • Python, Kubernetes
  • Terraform
  • SQL
  • Cloud - Azure / AWS or GCP
  • Desirable - infrastructure; Windows / Linux etc

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.