Machine learning engineer in digital health

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better.

• Explore, develop and test complex ML/AI systems to improve female health
• Work with state-of-the-art technologies, such as most advanced LLMs and Generative AI approaches, to build solutions that are medically safe and work at scale
• Work in a fast-paced environment to quickly build and validate product hypotheses, taking end-to-end ownership of ML/AI products
• Build the future-proof infrastructure for serving Gen AI features at Flo, bringing our AI vision and strategy to life
• Constantly improve our technical capabilities by researching and implementing best practices in the context of the fastly evolving space of LLMs
• Work in a cross-functional setup alongside other engineering (ML, Backend, QA), product, and analytics teams

• 4+ years of professional experience in the field of machine learning
• Demonstrated success in building and deploying large-scale machine learning models
• Ability to devise creative solutions to intricate technical challenges, including experience in systems design with the ability to architect and explain ML/LLM pipelines
• Strong Python programming skills for efficient model development and deployment
• Experience with both traditional ML and modern LLM frameworks
• Understanding of the entire ML/LLM development process, including CI/CD, version control, testing, MLOps/LLMOps, and agile methodologies
• Experience in building and managing data pipelines using tools like Apache Spark
• Excellent communication skills and ability to collaborate with diverse teams
• Commitment to responsible AI practices, including fairness, accountability, and transparency
• Будет плюсом: experience with large-scale LLM applications is a bonus; Advanced degree in Computer Science, Mathematics, or a related field; Familiarity with statistical and measurement fundamentals and running and evaluating AB tests; Data visualisation skills; Experience in the MedTech domain

• Annual Salary Range (ranges may vary based on skills and experience): £130,000 GBP - £180,000 GBP
• Competitive salary and annual reviews
• Opportunity to participate in Flo’s performance incentive scheme
• Paid holiday, sick leave, and female health leave
• Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents
• Accelerated professional growth through world-changing work and learning support
• In-person collaboration and work in a hybrid model, with 3 days per week spent in the office
• 5-week fully paid sabbatical at 5-year Floversary
• Flo Premium for friends & family, plus more health, pension and wellbeing perks