Machine Learning Engineer

Overview

In this role you will develop cutting-edge ML/LLM features that leverage Flo’s medical expertise and user insights. You will work on scalable AI systems, integrate state-of-the-art generative AI while maintaining privacy and clinical backing, and collaborate with cross-functional teams to deliver value to millions of users. You will shape the ML/LLM roadmap, build robust pipelines, and advance Flo’s AI-driven health platform. This is a chance to impact female health at scale through responsible, impactful technology.

Pay / Benefits

• Competitive salary and annual reviews
• Performance incentive scheme
• Paid holiday and sick leave
• Enhanced parental leave and pay
• Hybrid work model with 3 days in the office
• 5-week fully paid sabbatical at 5-year anniversary

Responsibilities

• Explore, develop and test complex ML/AI systems to improve female health
• Leverage advanced LLMs and Generative AI to build scalable, medically safe solutions
• Own ML/AI product development end-to-end in fast-paced environments
• Build infrastructure for serving Gen AI features at Flo
• Improve technical capabilities by implementing best practices in LLMs
• Collaborate cross-functionally with ML, Backend, QA, Product and Analytics teams

Key requirements

• 4+ years of professional experience in machine learning
• Proven track record of building and deploying large-scale ML models; large-scale LLM experience is a bonus
• Ability to design ML/LLM pipelines and explain architectures
• Strong Python programming for model development and deployment
• Experience with traditional ML and modern LLM frameworks
• Understanding of CI/CD, MLOps/LLMOps, version control, testing, and agile methods
• Experience building and managing data pipelines (e.g., Apache Spark)
• Excellent communication and cross-functional collaboration
• Commitment to responsible AI: fairness, accountability, transparency

• Excellent communication
• Cross-functional collaboration
• Creative problem solving
• Python
• ML/LLM frameworks (traditional ML and LLMs)
• CI/CD, MLOps/LLMOps

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