Machine Learning Engineer

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating.

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.

We are looking for a Machine Learning Engineers to join Flo Health. You will be developing groundbreaking features that leverage our medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of our users’ needs. If you’re passionate about technol...

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
Annual Salary Range (ranges may vary based on skills and experience)
£130,000—£180,000 GBP
How we work
We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. 
What you'll get
We support impact with meaningful reward. Here’s what that looks like:
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
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.

4+ years of professional experience in the field of machine learning
Demonstrated success in building and deploying large-scale machine learning models; experience with large-scale LLM applications is a bonus
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
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