About this role
ML Ops Engineer at Neko Health. Location: London or Stockholm. Role: building components, maintaining systems, designing workflows Requirements: Strong Python and ML skills; experience building production ML systems; knowledge of PyTorch, Kubernetes, Terraform, distributed systems, and ML orchestration; ability to work with healthcare data and compliance. Category: Engineering Seniority: Senior Level Tools: Python, PyTorch, Kubernetes, Terraform, React, TypeScript, C++, C#, ASP.NET Core, Microsoft Azure Cosmos DB, Microsoft Azure Active Directory Commitment: Full Time Workplace: Hybrid Languages: English