ML Ops Engineer

Neko Health

ML Ops Engineer at Neko redefining health prevention through machine learning workflows and clinical care. Building production-grade ML systems and collaborating across data and clinical teams.

Posted 6/18/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSenior💰 €100,000 - €150,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsKubernetesPythonPyTorchTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

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ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonMachine Learningend-to-end production ML systemsPyTorchKubernetesTerraformdistributed systemsML orchestration toolsproduction Machine Learning toolsexperiment tracking

Soft Skills

collaborationjudgmentproblem-solving