Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this Machine Learning Engineer role.
Rezi rewrites your resume against Flo Health's job description. Free.
Tailor your resume to this Machine Learning Engineer role.
Rezi rewrites your resume against Flo Health's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Engineer posting at Flo Health — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the Machine Learning Engineer posting at Flo Health — free, in seconds.
About the Role
Develop groundbreaking features leveraging medical expertise, technical skills, rapid adoption of new technologies (like LLMs), product knowledge, and a deep understanding of user needs to build the next generation of digital health.
Responsibilities
- 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.
- Build and validate product hypotheses quickly in a fast-paced environment, taking end-to-end ownership of ML/AI products.
- Build future-proof infrastructure for serving Gen AI features at Flo, bringing AI vision and strategy to life.
- Constantly improve 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.
Requirements
- 4+ years of professional experience in 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.
- 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 is a plus.
- Familiarity with statistical and measurement fundamentals and running and evaluating AB tests is a plus.
- Data visualisation skills are a plus.
- Experience in the MedTech domain is a plus.
Skills
- Machine Learning
- Large-scale LLM applications
- Systems design
- ML/LLM pipeline architecture
- Python programming
- Traditional ML frameworks
- Modern LLM frameworks
- CI/CD
- Version control
- Testing
- MLOps/LLMOps
- Agile methodologies
- Data pipelines
- Apache Spark
- Communication
- Collaboration
- Responsible AI
- Fairness
- Accountability
- Transparency
- Statistical fundamentals
- Measurement fundamentals
- AB testing
- Data visualisation
- MedTech domain
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 4+ years of professional experience in machine learning
Education Level
- Advanced degree in Computer Science, Mathematics, or a related field
Salary/Compensations
- £130,000—£180,000 GBP
Benefits
- 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
- 5-week fully paid sabbatical at 5-year Floversary
- Flo Premium for friends & family
- Health perks
- Pension perks
- Wellbeing perks
About the Company
- 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, Flo became the first product of its kind to reach a $1B valuation in 2024.
- With 7M paid subscribers and the highest-rated experience in the App Store’s health category, Flo has spent 10 years earning trust at scale.
- Flo is a mission-led, product-driven team that moves fast, stays focused, and takes ownership.
- Debate is encouraged, and decisions are shared.
Equal Opportunity
- 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.