MLOps Engineer

MLOps Engineer Up to 100kHybrid - London 2/3 days a week My Client is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work on a range of projects including NLP, Recommendation, Forecasting and LLMsResponsibilities:Create and manage the machine learning infrastructure Streamline the process of ML experiments into productionBuild and implement scalable tools and servicesContinuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems.Apply software engineering principlesWork cross functionally across the business What you need to succeed:Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with PythonFamiliarly with Terraform, Databricks and Azure Ability to implement machine learning and software best practicesIdeally exposure to deep learning approaches and frameworksUnfortunately sponsorship is not provided for this roleIf this role sounds of interest please apply here or reach out to #####