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Flo Health

Digital women’s health tracking and insights

Senior Machine Learning Engineer

Applied Machine LearningUpdated on Nov 13
Full-timeLondon, UK

About the Job

Requirements

  • At least 7 years of professional experience in machine learning.
  • Demonstrated success building and deploying large-scale machine learning models.
  • Ability to devise creative solutions to complex technical challenges.
  • Experience with systems design and the ability to architect and explain machine learning and large language model pipelines.
  • Strong Python programming skills for efficient model development and deployment.
  • Experience with traditional machine learning and modern large language model frameworks.
  • Understanding of the full machine learning and large language model development process, including continuous integration and continuous delivery, version control, testing, MLOps/LLMOps, and agile methodologies.
  • Experience building and managing data pipelines using tools such as Apache Spark.
  • Strong communication skills and ability to collaborate with diverse teams.
  • Commitment to responsible artificial intelligence practices, including fairness, accountability, and transparency.

Responsibilities

  • Explore, develop, and test complex machine learning and artificial intelligence systems to improve female health.
  • Use advanced large language models and generative artificial intelligence approaches to build medically safe solutions that work at scale.
  • Quickly build and validate product hypotheses in a fast-paced environment, taking end-to-end ownership of machine learning and artificial intelligence products.
  • Build future-proof infrastructure for serving generative artificial intelligence features and bringing the company's artificial intelligence vision and strategy to life.
  • Research and implement best practices to continually improve technical capabilities in the evolving field of large language models.
  • Work cross-functionally with machine learning, backend engineering, quality assurance, product, and analytics teams.

Desired Qualifications

  • Experience with large-scale large language model applications.
  • An advanced degree in Computer Science, Mathematics, or a related field.
  • Familiarity with statistical and measurement fundamentals and conducting and evaluating A/B tests.
  • Data visualization skills.
  • Experience in the MedTech domain.

About the Company

Flo Health

Digital women’s health tracking and insights

Flo Health develops a mobile app that helps women manage their health by tracking menstrual cycles, ovulation, pregnancy, and menopause. The app uses user-entered data and signals from the body to provide personalized health insights, curated content, and a private community where users can ask questions. It features a large team of medical experts and tools like Flo Anonymous Mode to protect privacy. Users access cycle and fertility tracking, educational content, and health resources through the app, with some features and access donated to users in need through pro-social programs. Flo also partners with research and health organizations to advance women’s health and reduce knowledge gaps. The goal is to democratize access to accurate, personalized health information for women worldwide and empower proactive health management while improving health literacy and reducing stigma.

Company size
501-1,000
Company stage
Series C
Total funding
$276.4M
Headquarters
London, United Kingdom
Founded
2015

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