Our engineers aren’t just building a better product; they’re making the world a better place by improving women’s health. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, medically credible health tips. We are committed to discover and empower our employees to implement brand-new solutions.

If you think you are the right match for the following opportunity, apply after reading the complete description.Flo is a place for experimentation and implementation opportunities at the senior level. Flo is not just a feature factory; we own value delivery end to end. Flo is a constantly evolving product. New features and technologies are added, hardening development. Our engineers have an average of 10 years of experience, so they can solve ambitious product tasks.

We are looking for a Machine Learning Engineer for the AI foundation team. Solutions the AI team builds are rooted in our medical knowledge, technical skills, swift adoption of new technologies such as LLMs, product expertise, and in constant search for better understanding of our customers’ needs. Our responsibilities are broadly divided across several critical areas:

LLM research: We research LLM models in terms of medical accuracy, safety, technical characteristics, and so on.

LLM implementation and support: We build and oversee LLM-based products at Flo, which is a new and existing area of development.

Menstrual cycle modelling, finding patterns and regularities in symptoms, symptoms prediction, utilising data from wearable devices, and more.

Your Experience

Must have:

4+ years of professional experience in the field of machine learning.

Solid understanding of classical ML algorithms.

Good understanding of statistical concepts, particularly in the context of A/B testing.

Familiarity with fundamental concepts of deep learning and transformer-based architectures.

Strong programming and algorithmic skills.

Experience working with big data technologies.

Nice to have:

Strong communication and ownership skills.

Experience in recommendations and search, chatbot development.

Experience in systems design with the ability to architect and explain machine learning pipelines.

Data visualisation skills.

Experience in the med-tech domain.

What you'll be doing

You'll be responsible for:

Exploratory data analysis.

Development of ML algorithms.

Deployment to millions of users.

End-to-end ownership of ML problems.

Salary range:UK - ₤80,000 - ₤140,000 per year.

Ranges may vary depending on your skills, competencies, and experience.

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