Remote MLOps Engineer β€” AI Deployment & Pipelines in London

Remote MLOps Engineer β€” AI Deployment & Pipelines in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Manage AI infrastructure and delivery pipelines for a cutting-edge SaaS platform.
  • Company: Morson Edge, a leader in AI deployment and innovation.
  • Benefits: Earn up to Β£800 per day with remote work flexibility.
  • Other info: Opportunity for occasional travel to London and career advancement.
  • Why this job: Join a dynamic team and shape the future of AI technology.
  • Qualifications: Strong Python skills and experience with ML deployment and CI/CD workflows.

The predicted salary is between 60000 - 80000 Β£ per year.

Morson Edge is seeking an MLOps Engineer to manage AI infrastructure and delivery pipelines. The role involves integrating AI into a SaaS platform while ensuring machine learning systems are reliable and performant.

This position is remote with occasional travel to the London office and offers up to Β£800 per day.

Candidates should have:

  • Strong Python skills
  • Experience with ML deployment
  • Familiarity with CI/CD workflows and Azure

Remote MLOps Engineer β€” AI Deployment & Pipelines in London employer: Morson Edge

Morson Edge is an exceptional employer that fosters a dynamic and innovative work culture, perfect for MLOps Engineers looking to make a significant impact in the AI field. With competitive pay of up to Β£800 per day and the flexibility of remote work complemented by opportunities for occasional collaboration in our London office, we prioritise employee growth and development through continuous learning and exposure to cutting-edge technologies. Join us to be part of a forward-thinking team that values creativity and excellence in delivering reliable AI solutions.

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Contact Details:

Morson Edge Recruitment Team

We think you need these skills to ace Remote MLOps Engineer β€” AI Deployment & Pipelines in London

Python
ML Deployment
CI/CD Workflows
Azure
AI Infrastructure Management
Delivery Pipelines
Reliability Engineering