Help us build the future of mental health by developing our new AI Therapist
About Limbic
Limbic’s vision is to ensure the highest quality therapy is accessible to everyone, everywhere.
Limbic is already used in over 50% of Talking Therapies in the NHS in the UK as well as serving thousands of patients every week across the US, which makes us the largest-ever deployment of generative AI for direct patient care.
Our products augment clinical care, reduce barriers to accessing therapy at scale, and deliver autonomous mental health interventions, all deployed with safety as the top priority and as the only AI mental health chatbot with UKCA Class IIa and FDA TEMPO certification. Our company puts rigorous scientific quality first and our results are published in leading scientific journals, such as Nature Medicine.
The Role
As a Senior AI Researcher, you have demonstrated a deep expertise in AI research, in particular in the context of large language models (LLMs). In this role, you will drive innovation and dedicate your expertise to catapulting forward the capabilities of AI-delivered mental health therapy.
What You’ll Do
Use cutting-edge ML techniques to improve patient trajectories and outcomes.
Use existing data to identify meaningful mental health representation spaces.
Identify causal mechanisms driving recovery from mental health conversations.
Predict trajectories of mental health outcomes and build recommender systems for interventions.
Design and run rigorous scientific experiments to validate your methods and publish these in high-impact peer-reviewed journals.
Lead on patent submissions to protect intellectual property.
Work closely with the clinical research team as well as the ML engineering team to build product-ready, clinically evaluated tools.
Drive continuous improvement through experimentation, iterative development, testing and optimisation.
Translate complex scientific challenges into impactful solutions.
Mentor and guide junior scientists and colleagues, fostering a collaborative, high-performing team culture.
Present your findings in internal and external scientific meetings and events.
What You’ll Bring
A PhD in computational science or an AI-related field, plus 2+ years of experience in a postdoctoral AI researcher role.
Strong publication record in AI research in cutting-edge conference proceedings or peer-reviewed journals.
Expertise in LLM-related research and methods development.
Experience with neural deep learning and machine learning.
Expert-level proficiency in Python, Typescript or related languages.
Experience in data analysis of large language-based datasets, feature-extractions methods, and prediction modelling.
Experience with reinforcement learning and model fine-tuning (e.g. RLHF/RLAI)
Expertise in statistical principles specifically in the context of LLM evaluation and user activity analytics.
Proficiency with version control systems (preferably Git) and databases (SQL or NoSQL).
Hands-on experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker) desirable.
The ability to work from our London (Spitalfields) office on Tuesdays and Thursdays, with the flexibility to work remotely or from the office on other days of the week.
Visa sponsorship for skilled workers possible.
Benefits & Wellbeing
29 days of holidays (25 regular days and 4 Quarterly Life Days) + UK bank holidays
Access to mental health support
Company-wide meetups
Generous parental leave package
100% reimbursement for work-related books and materials
Flexibility with remote working
Headquarters in London, UK with an amazing office in Shoreditch that offers free gym sessions, socials and guest speaker events (for those who like to work from the office)
Design and deploy production-grade agentic AI systems with customers, translating complex needs into reliable workflows while shaping DigitalOcean’s AI platform through evaluation, optimization, and field feedback.
Own an AI model domain from problem framing through production, leading clinical LLM fine-tuning, agentic system design, rigorous evaluation, and multimodal integration across research and clinical workflows.
Design and deploy production-ready agentic AI systems for customer challenges, combining multi-agent architectures, LLM workflows, evaluation and safety frameworks, and direct collaboration with customers and product teams.
Design and deploy production-ready agentic AI systems for customer challenges, combining multi-agent architectures, evaluation and safety frameworks, and platform feedback to improve reliability and scale.
Design and deploy production-grade agentic AI systems for customer use, translating complex business needs into reliable workflows while shaping DigitalOcean’s AI platform through field insights.
