# Senior AI/ML engineer at Flo Health

Flo Health is hiring a Senior AI/ML engineer in London, United Kingdom. It pays £120k-£180k a year and Level rates it Builds AI ●●●●; you can [apply on Flo Health](https://jobsbylevel.com/go/e01b7990-dcd0-41c6-86a0-d6fbb3285b35?utm_medium=ai-agent).

AI Level 4, AI centrality 92 out of 100. London.

## Details

- Company: [Flo Health](https://jobsbylevel.com/companies/flo-health)
- AI level: AI Level 4 (score 92 out of 100)
- Location: London
- Salary: £120k-£180k
- Posted: December 29, 2025
- Apply: https://jobsbylevel.com/go/e01b7990-dcd0-41c6-86a0-d6fbb3285b35?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-ai-ml-engineer-at-flo-health-179bc9

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-ai-ml-engineer-at-flo-health-179bc9

## Description

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 Senior AI Engineer with strong LLM and product engineering experience to join our AI Platform team and help ship the AI-driven features across our app — including personalized in-app content recommendations, conversational AI-powered insights, and AI-generated mobile push notifications. You will focus on the product-facing behavior of our GenAI features (relevance, quality, latency, and safety), using the platform’s judges, fine-tuning pipelines, and evaluation tools, and contributing to infrastructure work (Databricks, AWS, Terraform) as initiatives require it. What you’ll do Feature development: build and ship LLM-powered product features, including AI-generated mobile push notifications, personalized in-app content recommendations and custom user journeys, and conversational AI-powered insights — including structured output such as charts and widgets Latency and UX: reduce perceived and actual response latency through streaming, pregeneration, and inference-time tradeoffs, working closely with product and design on how AI output is experienced by users Prompt and model behavior: iterate on prompt design and calibration, use fine-tuned health-domain models (Llama, Gemma, MedGemma) where relevant, and work with the Judge-as-a-Service ecosystem to keep outputs safe and high quality Experimentation: help enable A/B testing for model and prompt changes, using evaluation gates to ship safely and measure impact Data and evaluation: contribute to synthetic Q&A generation, golden test sets, and evaluation dataset design that supports the features you’re building Infrastructure: contribute to Databricks, AWS (EKS), Terraform, or CI/CD work as initiatives require it Cross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your features Experience and skills Must have: 7+ years of software engineering, with recent hands-on experience building product features backed by LLMs experience with at least one of: prompt engineering, LLM evaluation, fine-tuning, or model serving strong Python, and comfort working with APIs/SDKs that wrap LLM calls, prompt templates, and structured outputs product sensibility: a track record of shipping user-facing features, with attention to latency, tone, and quality of AI output as experienced by end users comfort picking up new infrastructure tools (Databricks, AWS, Terraform, GitHub Actions) as needed — deep prior expertise not required Nice to have: LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) prompt optimisation frameworks (DSPy or similar) feature stores or personalization/ranking experience (relevant to in-app content recommendation work) healthcare, regulated-industry, or safety-critical AI systems experience data engineering fundamentals (Spark, Delta tables, Parquet) #LI-KP1 #LI-Hybrid Annual Salary Range (ranges may vary based on skills and experience) £120,000 — £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

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Source: https://jobsbylevel.com/jobs/senior-ai-ml-engineer-at-flo-health-179bc9

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