Job title: MLOPs Engineer Minimum years of experience: 5 years of experience in software development, machine learning engineering or related field. Exact location: Sheffield, United Kingdom Possibility of remote/hybrid work: Hybrid Detailed job description: • Design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions. • Receiving models from data scientists, creating and using benchmarks and metrics, and making ML systems available/accessible to the systems that use/need it. • Develop, deploy and maintain machine learning models, pipelines and workflows in production environment. • Work with DevOps team to deploy and manage infrastructure for machine learning services Mandatory Technical Skills (must-have): • Bachelor’s or master’s degree in computer science, engineering or related field. • 5 years of experience in software development, machine learning engineering or related field. • Programming languages like Shell, Python, SQL. • Python with Data analytics (Pandas, Numpy etc.) • Ability to understand tools used by data scientist (e.g. jupyter notebook, pandas, scipy) and experience with software development and test automation • Docker, Kubernetes • Strong understanding of machine learning concepts and frameworks, including TensorFlow, PyTorch, Scikitlearn, etc. • Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, mlflow, Argo, etc.) • Good English communication (verbal, written, email). Ability to explain complex ideas