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Limbic is building AI-powered clinical products for mental healthcare, with the largest-ever deployment of generative AI for direct patient care across the NHS and US. The company has UKCA Class IIa medical device certification and is the first AI-led mental healthcare company selected for the FDA's TEMPO pilot. Their AI agents have demonstrated superior performance to licensed CBT therapists in randomized trials published in Nature Medicine.
As a Senior AI/ML Engineer, you will take ownership of the AI quality for one of two live clinical products serving the US market: an AI therapy voice agent delivering structured CBT to adults with depression and anxiety under clinician supervision, or an AI assessment agent that healthcare organizations use to evaluate patients and recommend treatment pathways.
Key responsibilities include:
- Own AI quality end-to-end for a live clinical product, from problem framing with clinicians and product managers through shipping, monitoring, and production improvement
- Design and build agentic systems with orchestration of specialized agents, tools, and memory optimized for real-time voice and text conversations
- Build and improve safety systems that screen every patient message and AI reply, including real-time risk detection and guardrails against unsafe or clinically inappropriate responses
- Lead evaluation-driven development using evaluation suites, simulated patients, and LLM-as-judge autolabellers validated against clinician labels
- Productionize ML models that optimize clinical KPIs such as triage accuracy, treatment completion, and recovery rates
- Help turn clinical AI into composable services that healthcare partners can integrate into their patient journeys
- Raise the engineering bar through architecture, code review, and mentorship while maintaining strict regulatory compliance
You will work from the London office on Tuesdays and Thursdays, with flexibility to work remotely or from the office on other days. The role involves some late-afternoon UK time meetings to align with US product teams.
Requirements:
- Educational background: PhD in computational science or AI-related field plus 2+ years ML engineering experience, OR BSc/MSc plus 4+ years ML engineering experience
- Expertise in productizing LLM features and strong background in eval-driven development
- Expert-level proficiency in Python and TypeScript/JavaScript
- Proven experience building LLM agent harnesses
- Experience utilizing reinforcement learning
- Strong architectural skills designing scalable, production-grade ML systems
- Solid understanding of statistical principles for LLM evaluation and user activity analytics
- Proficiency with version control (preferably Git) and databases (SQL or NoSQL)
- Hands-on experience with major cloud platforms and containerization technologies
- Track record of end-to-end ownership: scoping shippable work, measuring impact, maintaining urgency
- Genuine interest in applying technical skills to mental healthcare challenges
- Ideal but not required: experience with real-time voice AI or healthcare organizations as customers
- Ability to work from London office on specified days; visa sponsorship available for relocating candidates
