Lead ML Ops Engineer - Healthcare Platform

Neko Health; Stockholms kommun; Hybrid; SEK 1,087,784 - 1,631,676; Full time

Job summary

Neko Health in Stockholm is seeking a Lead Machine Learning Engineer to enable robust machine learning workflows at scale. This role focuses on building and operationalizing production-grade ML systems using proprietary data from sensors and technologies.

You will collaborate with various teams to enhance the adoption of scalable ML practices and ensure compliance with healthcare standards. Candidates should possess strong programming skills and experience with ML systems.

Qualifications

• Strong programming skills in Python with a solid understanding of Machine Learning concepts.
• Experience building end‑to‑end production ML systems and platformisation initiatives.
• Knowledge of PyTorch, Kubernetes, Terraform, distributed systems, and ML orchestration tools.
• Advanced understanding of production Machine Learning tools and best practices.
• Ability to operate within complex ecosystems spanning medical domain, regulatory requirements, hardware, firmware, and sensor data.
• Strong judgment navigating evolving tooling landscapes and applying the right solutions to real‑world problems.

Responsibilities

• Build reusable and scalable components supporting Machine Learning operations and platformisation.
• Own and maintain Machine Learning systems and platform services.
• Establish and promote best practices across experiment tracking, model lifecycle, and evaluation.
• Design and maintain production inference workflows delivering reliable and timely outputs.
• Collaborate cross‑functionally with Clinical Researchers, Data Scientists, ML Engineers, and Data Engineers.
• Ensure ML systems and workflows align with healthcare and data privacy requirements.

Skills

Strong programming skills in Python

Machine Learning concepts

End-to-end production ML systems

Knowledge of PyTorch

Kubernetes

Terraform

Distributed systems

ML orchestration tools

Tools

Python

C++

React

TypeScript

C#

ASP.NET Core

Azure Cosmos DB

Job description

Neko Health in Stockholm is seeking a Lead Machine Learning Engineer to enable robust machine learning workflows at scale. This role focuses on building and operationalizing production-grade ML systems using proprietary data from sensors and technologies.

You will collaborate with various teams to enhance the adoption of scalable ML practices and ensure compliance with healthcare standards. Candidates should possess strong programming skills and experience with ML systems.