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.
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Founding ML Engineer at Klaris
Join Klaris as their first ML Engineer and build the AI-powered backbone of MedTech compliance from the ground up. Backed by an NHS-affiliated VC and Antler, Klaris is moving beyond AI wrappers to develop sophisticated agentic workflows and custom RAG pipelines that help lifesaving medical devices reach patients faster. If you have 4+ years of MLOps experience and the 'Founding Engineer' DNA to own technical strategy and infrastructure in a high-stakes, 0-to-1 environment, this is your chance to shape the future of healthcare innovation in London.
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Location
London, United Kingdom
Compensation
£95k + Equity
Company
Klaris
Role overview
Klaris AI is an AI-powered compliance automation platform designed specifically for MedTech companies. It streamlines regulatory documentation, helps medical devices gain approvals, pass audits, and scale by identifying regulatory gaps, providing remediation guidance, and catching contradictions. Klaris automates much of the manual compliance work, allowing engineers and medical device companies to focus more on innovation and product development. The platform is built to reduce the burden of compliance, speed up time to market, and facilitate integration with agile development processes in the MedTech industry.
What you will do
- 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.
Who this is a fit for
- 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.
Why this role is remarkable
- 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.
How Jack & Jill work together
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What happens next?
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Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Klaris wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.