Job Description

My client is looking for an experienced ML Infrastructure Engineer to support the deployment, optimisation and scaling of advanced machine learning models in production environments. This role sits at the intersection of research and engineering, focused on ensuring models are reliably transitioned from experimentation through to large-scale deployment.

You will work closely with research and platform teams to build and maintain high-performance inference systems, improve deployment processes and help drive infrastructure improvements that enable faster model iteration and release cycles.

This is a strong opportunity to work on technically complex challenges within a fast-moving and highly collaborative environment.


The Role

  • Productionise machine learning models from research through validation, staging and live deployment
  • Build, maintain and optimise scalable inference infrastructure supporting high-throughput, ...

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