Senior AI/ML Engineer

Job description

**Help us build the future of mental health by developing our new AI Therapist for end-to-end care in the US.** **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, which makes us the largest-ever deployment of generative AI for direct patient care. Using Limbic Access we augment clinical care and reduce barriers to accessing therapy at scale - deployed with safety as the top priority and the only AI mental health chatbot with UKCA Class IIa certification. Limbic is live in the US, interacting with thousands of patients there every week. Furthermore, we are launching an AI therapist doing end-to-end care in the US, and we are looking for a mission-driven engineer to help us build this critical new product. **The Role** As a Senior ML/AI Engineer, you have demonstrated experience in AI product development and will take ownership of translating AI research into products that tangibly improve users' lives. This role is specifically dedicated to building our end-to-end care AI therapist for the US market. Initially, your projects will focus on this immediate launch, but you will eventually be tasked with bringing these successes cross-product to the wider organization. **What You’ll Do** - Productionise ML models to optimise product KPIs, including algorithmic patient selection to maximise recovery rates. - Build and maintain agentic frameworks whils ensuring our AI features continuously comply with strict regulatory protocols. - Identify and model causal factors (such as AI skills) that determine our key performance indicators. - Productionise agentic frameworks for rapid product development, including building agents to automate product development workflows. - Productionise our product demo processes to streamline resources and prevent major issues during client demonstrations. **What You’ll Bring** - You must meet one of the following educational and experience backgrounds: - A PhD in computational science or an AI-related field, plus **2 years** of experience in an ML engineering role. - **OR** A BSc/MSc, plus **4 years** of experience in an ML engineering role. - Expertise in productising LLM features and a strong background in Eval-driven-development. - Expert-level proficiency in Python and Typescript/Javascript. - Proven experience **building an LLM agent harness**. - Experience utilizing reinforcement learning. - Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications. - A solid understanding of 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). - A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space. - 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. - Please note: Limbic cannot provide visa sponsorship. **Benefits & Wellbeing** - Competitive salary and equity share options. - An amazing office in central London (Spitalfields) for our collaborative team days on Tuesdays and Thursdays, paired with a flexible/hybrid working model on Mondays, Wednesdays, and Fridays. - 25 days PTO plus bank holidays. - Company pension scheme (UK). - Enhanced parental leave packages (UK). - Support with purchasing work-related books and materials. - **Quarterly Life Days:** Enjoy 4 paid days off per year (one each quarter) to use whenever you choose to relax, recharge, or take care of personal matters. - **Mental Health Support:** Access to dedicated mental health support services. *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.*