Founding ML Engineer at Klaris - NHS-backed MedTech AI

As the first ML hire, you will build the foundational data and MLOps flywheel for a safety-critical MedTech platform. You'll move beyond wrappers to develop custom algorithms and agentic RAG workflows that automate complex regulatory documentation. This is a high-impact, 0-to-1 role helping lifesaving medical devices reach patients faster through sophisticated automation.

• Architect and scale production-grade MLOps infrastructure including CI/CD pipelines, monitoring, and model versioning using tools like MLflow or Weights & Biases.
• Develop and productionize advanced LLM solutions, including agentic workflows, RAG pipelines, and knowledge graphs to process complex regulatory documents.
• Lead the end-to-end data strategy, from building ETL pipelines and OCR tasks to fine-tuning models for safety-critical healthcare applications.

• 4+ years of proven experience in MLOps and NLP, with a track record of turning experimental algorithms into robust, scalable software products.
• Deep technical proficiency in the Python ecosystem, specifically with FastAPI, Pydantic, vector databases, and containerization tools like Docker or Kubernetes.
• Founding team DNA: A high-agency builder who thrives in ambiguity and can make independent architectural decisions without needing established structure.

• Founding-level impact: You aren't just joining a company; you are architecting the technical culture and ML strategy from the ground up alongside a PhD CTO.
• Strong backing and traction: Supported by an NHS-affiliated VC, Antler, and Vento Ventures, Klaris already has pilot programs converting into paid enterprise customers.
• Mission-driven innovation: Your work directly accelerates the deployment of lifesaving medical technologies by solving the massive, manual bottleneck of regulatory compliance.