ML Ops

Department: Engineering

Location: Remote

Employment Type: FullTime

Mission

Neko Health exists to shift healthcare from treating illness to preventing it, using advanced, non‑invasive technology and clinical expertise to deliver early, actionable health insights.

Role Purpose

As a Machine Learning Engineer focused on MLOps within the Data Science Platform team, you will enable robust, reliable, and responsible machine learning workflows at scale. Working with high-volume data from proprietary sensors and devices, you will design and operate production-grade ML systems, ensuring strong experiment tracking, model lifecycle management, and scalable deployment across multiple healthcare domains.

What You’ll Deliver in the First 6–12 Months

• Build and productionize reusable MLOps components supporting scalable and reliable ML workflows.

• Establish strong ML lifecycle practices including experiment tracking, evaluation, and reproducibility.

• Enable robust and monitored ML systems aligned with healthcare-grade reliability and compliance requirements.

• Deliver reliable production inference workflows powering real-world outcomes for Neko members.

• Partner across data, platform, and clinical teams to support scalable ML adoption across multiple use cases.

Responsibilities

• 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.

Minimum Qualifications

• 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.

About the Engineering Team

Distributed and Remote First

Neko Health has nearly 100 full-time engineers working across Berlin, Chamonix, Hamburg, Lisbon, Marseille, Vilnius, and Stockholm, spanning disciplines such as Hardware Engineering, Firmware Development, Electrical Design, Algorithm Development, Machine Learning, Optronics Research, and Software Engineering.

Our technology stack includes React, TypeScript, C++, Python, and C# with ASP.NET Core. We use Azure Cosmos DB and Azure Active Directory for authentication.

We are a Remote-First company, though some hardware and firmware roles require occasional access to physical devices. Software engineers in Stockholm typically work from the office once every one to two weeks. Teams meet in person several times per year for collaboration and team connection.

Organization and Way of Working

Engineering teams are structured into small, cross-functional groups aligned to specific goals. Some teams are long-lived while others are formed for targeted initiatives. Teams aim to operate autonomously while collaborating across the organization when necessary.

Goals are tracked quarterly and annually, with bi-weekly organization-wide progress reviews. Most teams operate on a bi-weekly planning cadence, though each group has flexibility in how they work.

All teams present progress, learnings, and experiments during bi-weekly engineering demos, covering topics ranging from hardware and calibration challenges to infrastructure improvements, backend capabilities, and data innovations that enhance clinical productivity.

Neko Health supports a flexible workplace that prioritizes work-life balance. We are deeply committed to our mission while believing meaningful impact should not require sacrificing personal wellbeing.

About titles at Neko

We use a simplified internal title framework that prioritises clarity over hierarchy, so internal titles may differ from market‑facing role titles. Scope, impact and level of the role are fully aligned and will be clearly discussed throughout the process.

Hiring Process

Candidates progress from application and structured screening through thoughtfully designed interviews culminating in a formal offer and final pre-employment checks before joining the team.

Equal Opportunity & Inclusion Statement

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.