
We envisage a world where the highest quality mental healthcare is available to everyone, everywhere. To get here, we use our unfair advantage in AI to solve the catastrophic supply-demand imbalance in mental healthcare. We come from neuroscience, machine learning, software engineering and psychology. Together, we're empowering patients and clinicians to tackle the leading cause of disability worldwide. It's time things changed.

We envisage a world where the highest quality mental healthcare is available to everyone, everywhere. To get here, we use our unfair advantage in AI to solve the catastrophic supply-demand imbalance in mental healthcare. We come from neuroscience, machine learning, software engineering and psychology. Together, we're empowering patients and clinicians to tackle the leading cause of disability worldwide. It's time things changed.
Headquarters: London; remote-first team
Founded: Around 2020
Product focus: Clinical AI for mental healthcare (Limbic Access, Limbic Care)
Recent funding: Series A $14M (Mar 2024) led by Khosla Ventures
| Company |
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Mental health care access, assessment, triage, and patient support
2020
Mental Health Care
$14,000,000
“Led by Khosla Ventures; other reported investors include Illusian Founder Office and Gaingels”
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, which makes us the largest-ever deployment of generative AI for direct patient care. Limbic is deemed safe and effective after successfully gaining UKCA Class IIa certification, the only AI mental health chatbot to do so.
Every day, 1K+ patients interact with Limbic, making therapy more accessible. Limbic goes beyond replacing existing processes with AI and helps 189 people recover from their mental health challenges who otherwise would not have.
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
Sample recent projects
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.
Requirements
Benefits
We take employee wellbeing seriously at Limbic and in addition to the above we offer:
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 application engineers at the interface of application and ML engineering, integrating with the rest of the product teams work (e.g. security, orchestration, data)
Help build and tune custom models
4+ years of industry Machine Learning experience
This position requires availability during standard business hours for our teams across Europe (UTC to UTC+3)
Ability to work from London (Spitafields) office 1-day per week is preferred
Limbic can not provide visa sponsorship
Experience productionising LLM features
Expert level Python ability
Strong knowledge of at least 1 backend python framework (e.g. we use FastAPI)
Solid understanding of statistics in the context of ML model evaluation and user activity analytics
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
Experience with Typescript / Javascript is a bonus