Location: Hybrid (Shoreditch, London) or remote
Time Zone: Europe or US Eastern Time
Type: Full Time
Team: Data Science, Engineering
At Visible, we’re building wearable technology for illness, not fitness. More than 150,000 people already use Visible to help measure and manage their chronic health condition. We’re looking for someone who’s passionate about harnessing biometric and other data from our devices to improve the lives of people with complex illnesses worldwide.
The problem is huge: hundreds of millions suffer from complex illnesses, notoriously difficult to diagnose and manage, leaving patients to navigate their health journeys alone with only rudimentary and inappropriate tools.
As an early-stage company (currently 20 people), we’re equipped to deliver on our mission. We’re backed by top investors, including Octopus Ventures and angels who've scaled products at Monzo, Cityblock Health, and more. We’ve also partnered with world-leading experts and institutions researching these conditions to advance science and build our product on the strongest foundations possible.
If this mission excites you, read on!
We’re growing our data science team and seeking an experienced Applied ML Engineer to help scale and operationalise our ML models and data-driven features. Reporting to our Data Science Lead, you'll focus on developing and deploying production-ready ML solutions that directly impact our users.
We’ve created the most comprehensive longitudinal database of symptoms, biometrics, and interventions across multiple health conditions globally. Leveraging this data, you'll help build models that aid in diagnosing and managing chronic illnesses, positively impacting millions of lives.