As a Machine Learning Engineer focused on MLOps within the Data Science Platform team at Neko Health, you will design and operate production-grade ML systems that support scalable, reliable, and responsible machine learning workflows. You will work with high-volume sensor data to enable early health insights through robust experiment tracking, model lifecycle management, and deployment across healthcare domains.
What You'll Do
- Build reusable and scalable components supporting Machine Learning operations and platformization.
- 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.
What We're Looking For
- Strong programming skills in Python with solid understanding of Machine Learning concepts.
- Experience building end-to-end production ML systems and platformization 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.
Technical Stack
- Python
- PyTorch
- Kubernetes
- Terraform
- distributed systems
- ML orchestration tools
- React
- TypeScript
- C++
- C#
- ASP.NET Core
- Azure Cosmos DB
- Azure Active Directory
Team & Environment
The engineering team at Neko Health consists of nearly 100 full-time engineers organized into small, cross-functional teams aligned to specific goals—some long-lived, others formed for targeted initiatives. Teams operate autonomously while collaborating across the organization. The team follows a bi-weekly planning cadence with flexibility in execution, tracks goals quarterly and annually with bi-weekly reviews, and hosts engineering demos every two weeks to share progress and learnings. The culture emphasizes mission-driven work—shifting healthcare from treating illness to preventing it—along with cross-functional collaboration, autonomy, work-life balance, and an inclusive, member-first environment with a simplified title framework focused on clarity over hierarchy.
Benefits & Compensation
- Remote-First work environment
- Flexible workplace prioritizing work-life balance
- Occasional in-person team meetings several times per year
- Software engineers in Stockholm work from the office once every one to two weeks
- Bi-weekly engineering demos showcasing progress and innovations
- Support for reasonable adjustments during application process
Work Mode
Remote-First; software engineers in Stockholm work from the office occasionally (once every 1-2 weeks); hardware/firmware roles may require occasional physical access; teams meet in person several times per year. Roles are open to candidates in Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm. The company supports a global workforce with flexible location options.
Neko Health is committed to inclusive hiring and member-first care. We welcome candidates from all backgrounds and encourage you to request reasonable adjustments to support your application.
