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ML-Ops/ML-Engineering Lead

Limbic

Limbic

Software Engineering, Operations, Data Science
London, UK · Remote
Posted on Friday, June 30, 2023

Limbic is making personalized mental healthcare available to everyone, everywhere.

Using artificial intelligence, we've built a virtual therapy assistant to support patients and clinicians throughout the care pathway. Our innovative AI in combination with the unique data we are collecting has proven to be our key differentiator.

We're growing quickly and we're backed by top-tier investors, as well as Innovate UK, Digital Health London, Entrepreneur First, and the European Commission.

It’s challenging. We’re ambitious. And we’re helping one another achieve our best and make real impact in the world.

As the first ML/ML Ops Engineer at Limbic you will lead the development of our ML Ops infrastructure and take ownership of the general processes to manage the full life cycle of our ML projects.

You should apply if you are passionate about ensuring that ML projects go beyond intellectual exercises to have real world impact and improve the lives of vulnerable patients.

You will work closely with our research team to ensure that our cutting-edge ML finds its way into the product so that patients can benefit from these innovations. As such you will play a critical role in the evolution and growing sophistication of our AI product.

What you will be working on:

  • Define & implement our ML Ops strategy
  • Develop & maintain the infrastructure and tools that allow us to deploy and monitor our ML algorithms in production
  • Work with our research team to deploy models in a performant and reliable manner
  • Monitor & maintain our ML systems in production
  • Set up a robust experiment tracking infrastructure
  • Work with our software engineers to efficiently integrate our ML models into our wider technology stack
  • Work with our research team to develop and optimize ML models

Requirements

  • 3 years+ experience of machine-learning in production
  • Experience with the full life cycle of ML projects, with a focus on deployment, monitoring and maintaining of ML systems
  • Strong software-engineering skills (especially Python)
  • Good understanding of ML Ops concepts

Benefits

  • Competitive salary
  • Flexibility regarding working remotely or from our central London office
  • Professional development budget
  • Twice a year company-wide meetups in Europe
  • Monthly fun activities
  • 25 days PTO
  • Paid maternity, paternity parental leave packages
  • Equity share options