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Flo Health

Senior Machine Learning Engineer

Flo Health is hiring a Senior Machine Learning Engineer in London, United Kingdom. It pays £130k-£180k a year and Level rates it ; you can apply on Flo Health.

Level's read on this job

  • Level rates this machine learning engineer role Builds AI ●●●●: the job is building AI systems.
  • The posting mentions MLOps and AI safety among its tools and skills.
  • Level classes it as a senior role.
  • Flo Health has 32 other open roles on Level.
  • Posted within the past two weeks.

AI in this role

ml-opsai-safety

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.

The job

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 technology, especially advancements in generative AI, and driven by delivering value to users, we would love to hear from you!

Your Experience

Must have:

  • 7+ 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

Nice to have:

  • 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

What you'll be doing

You'll be responsible for:

  • 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.

How we rate this

Senior Machine Learning Engineer at Flo Health rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsAI Safety

Also common in machine learning engineer jobs at this level

Pay

Typical machine learning engineer job
$200k

Use the typical machine learning engineer figure as a reference when pay comes up. See machine learning engineer jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. How do you think about the risk of an AI system in this kind of role failing silently?
  3. How would you decide a model or AI system is ready to ship?
  4. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: ML Ops and AI Safety. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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