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Limbic is building the future of mental health through AI-delivered therapy. The company is already deployed across over 50% of NHS Talking Therapies in the UK and serves thousands of patients weekly in the US, making it the largest deployment of generative AI for direct patient care. Limbic's products are the only AI mental health chatbot with UKCA Class IIa and FDA TEMPO certification, with research published in leading journals including Nature Medicine.
As a Senior AI Researcher, you will drive innovation in AI-delivered mental health therapy, leveraging your deep expertise in AI research and large language models (LLMs). Your responsibilities include:
- Applying cutting-edge ML techniques to improve patient outcomes and trajectories
- Analyzing existing data to identify meaningful mental health representation spaces
- Identifying causal mechanisms driving recovery from mental health conversations
- Predicting mental health outcome trajectories and building recommender systems for interventions
- Designing and running rigorous scientific experiments to validate methods and publish in high-impact peer-reviewed journals
- Leading patent submissions to protect intellectual property
- Collaborating closely with clinical research and ML engineering teams to build product-ready, clinically evaluated tools
- Driving continuous improvement through experimentation, iterative development, testing, and optimization
- Translating complex scientific challenges into impactful solutions
- Mentoring and guiding junior scientists and colleagues to foster a collaborative, high-performing team culture
- Presenting findings at internal and external scientific meetings and events
You will work from the London (Spitalfields) office on Tuesdays and Thursdays, with flexibility to work remotely or from the office on other days.
REQUIREMENTS:
- PhD in computational science or AI-related field, plus 2+ years of postdoctoral AI researcher experience
- 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 extraction methods, and prediction modeling
- Experience with reinforcement learning and model fine-tuning (e.g., RLHF/RLAI)
- Expertise in statistical principles 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
- Ability to work from London office on Tuesdays and Thursdays
- Visa sponsorship for skilled workers available
