Senior AI/ML Engineer
Role details
Job location
Tech stack
Job description
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.
Requirements
Do you have experience in TypeScript?, Do you have a Master's degree?, + 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 at least 1 day per week.
- Please note: Limbic cannot provide visa sponsorship.
Benefits & conditions
- Competitive salary and equity share options.
- An amazing office in central London with flexibility regarding working from the office and working from home.
- 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.