DESCRIPTION

Limbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere. The way we do that is by deploying AI responsibly, using it to augment clinical care and reduce barriers to accessing therapy at scale. Limbic is already used in over 40% of Talking Therapies in the NHS and is deemed safe and effective after successfully gaining UKCA Class IIa certification, the only AI mental health chatbot to do so.
We’re seeking a Senior Machine Learning Engineer to help deliver best-in-class AI for mental health care. You will develop, refine, and maintain the functionalities that allow us to serve our ML-capabilities in the product. You will play a critical role in translating our AI research into products that help our users in the real-world.

What you’ll do:

• Design, build and deploy ML powered features end to end, including
• Architecting systems combining LLM features with our in-house safety guardrails and clinical ML-models. This includes working with leading commercial AI models from OpenAI, Anthropic or Google, and also working with in-house self-hosted instances of models like Llama
• Creating evaluation methodologies combining user testing, LLM evals, and clinical trials
• Designing continuous monitoring strategies for production deployments
• Mentor junior team members, helping with code review and systems architecture
• Collaborate with project engineers to integrate AI models with backend services, integrating with the rest of the product teams work (e.g. logging, security)
• Help build and tune custom models

Sample recent projects

• Architect and deploy a voice agent for mental health service phone calls, integrating safety guardrails and implementing continuous monitoring and improvement systems
• Collaborate with clinicians to develop an AI triage system that conducts text-based patient intake conversations, gathering critical information to provide clinicians with actionable insights before appointments
• Train, evaluate and deploy models to detect problematic user interactions
• Build and run experiments comparing the therapeutic relationship with voice vs text based AI agents

We encourage women and individuals from diverse backgrounds to apply and join our team. We believe in creating an inclusive and supportive work environment where everyone can contribute their best.
Applications for this role will close 28/09/2025.

REQUIREMENTS

• 4+ years of industry Machine Learning experience
• Ability to work from London (Spitalfields) office at least 1 day per week
• Experience productionising LLM features
• Expert level Python ability
• Strong knowledge of at least 1 backend python framework (e.g. we use FastAPI)
• Experience with databases (SQL or NoSQL)
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker)
• Proficiency with version control systems, preferably Git
• Interest in the mental healthcare space
• Ideally some experience with Typescript / Javascript

• Design, build and deploy ML powered features end to end, including
• Architecting systems combining LLM features with our in-house safety guardrails and clinical ML-models. This includes working with leading commercial AI models from OpenAI, Anthropic or Google, and also working with in-house self-hosted instances of models like Llama
• Creating evaluation methodologies combining user testing, LLM evals, and clinical trials
• Designing continuous monitoring strategies for production deployments
• Mentor junior team members, helping with code review and systems architecture
• Collaborate with project engineers to integrate AI models with backend services, integrating with the rest of the product teams work (e.g. logging, security)
• Help build and tune custom model