Machine Learning Engineer

London, England, United Kingdom

Limbic

Reduce staff burnout, improve community engagement, and drive better patient outcomes. That’s the power of clinical AI from Limbic.

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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 33% of Talking Therapies in the NHS and is deemed safe and effective after successfully gaining UKCA Class IIa certification, the only AI mental health chatbot to do so.

We're seeking a 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:

  • Build architecture to efficiently combine 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
  • Collaborate with machine learning scientists to integrate AI models with backend services
  • Help build and tune custom models
  • Ensure the ML teams APIs integrate with the rest of the product teams work (e.g. logging, security)
  • Troubleshoot, identify bottlenecks, and address any backend issues

Sample recent projects:

  • Train and deploy models to detect problematic outputs from an LLM
  • Deploy and manage a custom Meta Llama fine-tune on an AWS GPU instance
  • Build dashboards to run experiments comparing the therapeutic relationship with voice vs text based AI agents

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.

Applications for this role will close 27/01/2025.

Requirements

  • >2 years of industry Machine Learning experience
  • Experience productionizing LLM features
  • Strong Python ability
  • Strong knowledge of at least 1 web frameworks (e.g. we use FastAPI).
  • Experience with databases (SQL or NoSQL)
  • Familiarity with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker).
  • Proficiency with version control systems, preferably Git
  • Ability to work from London (Spitalfields) office at least 1 day per week
  • Interest in the mental healthcare space

Benefits

  • An amazing office in central London (flexibility regarding working from the office and wfh)
  • 25 days PTO
  • Pension scheme
  • Enhanced parental leave packages
  • Equity share options
  • Support with purchasing work-related books and materials

We take employee wellbeing seriously at Limbic and in addition to the above we offer:

  • Quarterly life days (Enjoy 4 paid days off per year to use whenever you choose - one each quarter - to relax, recharge, or take care of personal matters)
  • Access to mental health support

Base Salary: £70K - £75K + Equity

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Tags: Anthropic APIs Architecture AWS Azure Chatbots Docker FastAPI GCP Git GPU LLaMA LLMs Machine Learning NoSQL OpenAI Python Research Security SQL

Perks/benefits: Career development Equity / stock options Health care Parental leave

Region: Europe
Country: United Kingdom

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