A leading pet insurance company is looking for an MLOps engineer to develop and maintain AI/ML models. You will work remotely with occasional travel to the London office, collaborating with data science teams to ensure model performance and scalability. The role requires hands-on experience with deployment on Google Cloud Platform and familiarity with CI/CD pipelines. Salary range is £70,000 - £80,000 GBP.
Qualifications
Hands-on experience deploying machine learning workflows on Google Cloud Platform.
Experience architecting and maintaining CI/CD pipelines.
Strong understanding of data governance and security practices.
Responsibilities
Design, build, and deploy AI/ML systems in production.
Translate problem statements into AI/ML solutions.
Communicate complex models to stakeholders.
Skills
Deploying ML workflows
CI/CD pipelines
Data governance
Cloud infrastructure
Agile methodologies
Tools
Google Cloud Platform
Terraform
Scikit-learn
TensorFlow
Job description
A leading pet insurance company is looking for an MLOps engineer to develop and maintain AI/ML models. You will work remotely with occasional travel to the London office, collaborating with data science teams to ensure model performance and scalability. The role requires hands-on experience with deployment on Google Cloud Platform and familiarity with CI/CD pipelines. Salary range is £70,000 - £80,000 GBP.