Senior ML Engineer

About the Role

This is a production engineering role, not a research one. You will own end-to-end: architecture, evaluation, deployment, and monitoring of LLM-driven products. You will design agentic workflows, build retrieval-augmented generation pipelines, and continuously optimize for reliability, latency, and cost in one of the most regulated and consequential industries in the world.

Responsibilities

• Architect and ship production-grade LLM systems: from RAG pipelines to multi-agent orchestration frameworks into live healthcare environments
• Own evaluation, monitoring, and reliability engineering across LLM-driven product features
• Optimise model performance across the latency, cost, and reliability tradeoff space
• Collaborate directly with Product, Clinical, and Engineering teams to turn advanced AI capabilities into compliant, scalable solutions
• Set architectural patterns and engineering standards as an early senior hire with real influence over how the platform is built

Qualifications

• 2-5 years in ML Engineering with a strong track record of shipping to production
• Deep hands-on experience with LLM ecosystems — Transformers, embeddings, RAG architectures
• Experience building and deploying agent-based systems and orchestration frameworks
• Strong software engineering fundamentals: Python, APIs, distributed systems
• Cloud deployment experience across AWS, GCP, or Azure
• Comfortable operating with high ownership in a fast-moving, high-growth environment
• Bonus: Experience in healthcare, healthtech, or other regulated domains

The role is offer a salary of up to $250,000 per annum also a wealth of benefits. These include bonus, hybrid working in Palo Alto & more.