Open position

Machine Learning Scientist, London, UK

We’re establishing a founding team at Augmize, building interpretable AI solutions that help insurance companies model risk, while retaining transparency and trust in machine learning models.We’re a team of data scientists, engineers, designers, and insurance specialists, backed by Europe’s top investors (who have backed the likes of Spotify, Onfido, and several IPO successes) and Google. We’re also musicians, writers, cyclists, and athletes, and we're seeking fellow curious minds who like solving hard problems with great people.

The Role:
We’re seeking a machine learning scientist to join our growing research and engineering team. You will work closely with our CTO in building out the Augmize platform, while helping to shape the future of research and engineering at Augmize. We are looking for someone who is passionate about their work, keen to join a fast-paced and fast-growth environment, who can own large portions of machine learning model development, experimentation and related R&D.

We'd love to hear from people with:

  • Experience implementing machine learning models from research to production
  • A solid understanding of machine learning, linear algebra and statistics
  • MS or PhD in a quantitative discipline, this could be Computer Science, Mathematics, Statistics, Operations Research, Data Science, or similar BS with experience in a highly quantitative position

We'd be particularly keen if you have:

  • Experience self-managing an end-to-end ML process; from dataset exploration, to models, to communicating results to stakeholders. This could be in academia or industry.
  • Experience at a start-up or growth-stage company

What we offer:

  • Competitive salary and meaningful equity in the company
  • 33 days of paid holiday (including bank holidays)
  • Flexible working hours and working from home
  • We’re family friendly, with policies built to support you in all stages of life
  • Monthly socials

How to apply:

Please send us an email at:
Please include a CV or equivalent public link to your experience. No cover letters necessary.

Equal Opportunity Statement:

We are an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, neurodiversity status or disability status.

Join us on our journey to transform how insurers and enterprise make decisions with AI they can trust.