MLOps Engineer

Innova Recruitment
Newcastle upon Tyne
2 weeks ago
Applications closed

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Snr ML Engineer - Machine Learning, LLMs, MLOps, RAG, Prompt Engineering, UK Remote

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Software Engineer (Go) London

Would you like the opportunity to build something from the ground up? Our client is a growing business operating as the link between AI and medical technology, working to improve the efficiency and accuracy of legal and healthcare processes.


With a strong AI team already in place, they are now looking for an MLOps Engineer to take ownership of model deployment and infrastructure.


This is the chance to influence the direction of AI operations within a company that is still in its early stages in the UK, providing the space to shape and expand an MLOps function that could serve both the AI and software engineering teams.


The role is fully remote, with very little expectation of travel! Perhaps once per quarter....


You will be reporting directly to the AI Team Lead, working within a flat hierarchy that values collaboration and technical ownership.


They are also investing in career development, with structured learning pathways through their partnership with Microsoft, providing opportunities to develop alongside the growth of the business.


What are you responsible for?


You will be responsible for deploying and maintaining machine learning models in an Azure cloud environment ensuring their scalability and efficiency. You will develop and manage CI/CD pipelines, automate model versioning and deployment, and collaborate closely with the AI and software development teams.


The role requires:


  • A strong understanding of Machine Learning frameworks (e.g. TensorFlow, PyTorch)
  • Experience with Azure ML, Prompt Flow or similar model management tools.
  • DevOps Experience
  • CI/CD Pipelines (Bitbucket Pipelines)
  • Containerisation (Kubernetes and docker)
  • Cloud infrastructure knowledge (Preferably Azure)
  • Infrastructure as a code (e.g. Terraform)


This is an ideal opportunity for someone looking to take ownership of an MLOps function within a company that is scaling its AI capabilities. If you want to learn more, please hit the reply button.

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