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Senior/Lead Machine Learning Engineer (EngagementTech)

London

We’re very proud of our achievements:

In July, we secured a $200M investment led by General Atlantic to help revolutionise women’s health, and became the first purely digital consumer women’s health app to achieve unicorn status! 🦄

We’ve had 380M+ downloads, have almost 70M monthly users, are #1 by installs in the iOS Health category, hit 4.9 stars on the App Store (3M+ reviews), are backed by 9 VCs, had a 40% revenue increase last year, and topped a valuation of $1B.

We’re a growing, ambitious HealthTech business building the essential digital health partner of tomorrow to empower women, girls, and people who menstruate with the knowledge and support they need to stay well and live better.

Our cycle, ovulation and pregnancy tracking, educational content and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day.

Now, we’re harnessing the power of data analytics and AI to build a smarter future, one where we all know our bodies better, with an aim to become the essential health partner to women worldwide.

The Job

We are Flo, the world’s most popular female health app! Our engineers aren’t just building a better product; they’re making the world a better place by improving female health. 

As a Machine Learning Engineer in the Engagement tech team at Flo, you will play a critical role in enhancing customer experiences through advanced machine learning algorithms. You will be part of a dynamic and cross-functional team focused on improving relevance and personalization by leveraging cutting-edge recommender systems. Your expertise will help us tackle complex technical challenges while driving impactful solutions that meet our business objectives.

Your Experience

Must have:

  • 4+ years of experience in machine learning, with a focus on recommender systems.
  • Strong knowledge of classical machine learning and neural networks.
  • Proven experience deploying ML models in production systems.
  • Strong computer science foundation.
  • Strong Python programming skills.
  • Experience building and managing data pipelines to operate on Big Data using distributed computing or streaming frameworks.
  • Excellent communication skills and ability to collaborate with diverse teams.
  • Experience navigating high-impact systems under challenging circumstances.

Nice to have:

  • Experience working in the MarTech domain in the context of the mobile app.
  • Experience with reinforcement learning models.
  • Experience with any SQL syntax.

What you'll be doing

You'll be responsible for:

  • Design, develop, and deploy machine learning algorithms to enhance relevance and personalization within our marketing initiatives, primarily focusing on recommender systems that directly influence user engagement.
  • Navigate ambiguity to identify and prioritize the most impactful areas across the company where machine learning can be applied effectively. Your efforts will focus on uncovering opportunities for recommender systems that can deliver significant improvements in customer experience.
  • Work closely with multiple domain teams, including analytics, engineering, product management, and UX/UI design. Leverage diverse perspectives to ensure seamless integration of machine learning solutions that align with business goals.
  • Address technical challenges related to dependencies between different components and teams. Ensure that machine learning models are integrated smoothly into existing infrastructure while maintaining scalability and maintainability.
  • Analyze and preprocess large datasets to create a structured format suitable for model training. Identify opportunities for data enrichment and improvement to enhance model performance.
  • Continuously evaluate the effectiveness of implemented models. Utilize A/B testing and other methodologies to measure performance, iterating based on feedback and results to optimize outcomes.
  • Maintain comprehensive documentation of methodologies and processes while fostering a culture of knowledge sharing within the team to promote best practices and facilitate onboarding.

#LI-Hybrid #LI-LM12

Salary Range - per year

£80,000 - £150,000 GBP

Ranges may vary depending on your skills, competencies and experience.

Reward

People perform better when they’re happy, paid well, looked after and supported. 

On top of competitive salaries, Flo's employees have access to:

  • A flexible working environment with the opportunity to come into the office and work from home
  • Company equity grants through Flo’s Employee Share Option Plan (ESOP)
  • Paid holiday and sick leave 
  • Fully paid female health and sick leave, in addition to holiday and regular sick leave
  • Workations - an opportunity to work abroad for two months a year
  • Six months paid maternity leave, and one months paid paternity leave (subject to qualifying conditions) inclusive of same-sex and adoptive parents
  • Career growth, progression, and learning development resources
  • Annual salary reviews
  • Unlimited free premium Flo subscriptions
  • A whole host of other benefits (health/pension/social schemes)

 

Our Culture

We’re problem solvers, we’re adaptable, we’re empathy driven and results led. 

People here like working in a fast-paced, multi-national, multi-cultural and ever changing environment. Everyone has an impact on a powerful mission, and is happy to roll their sleeves up to ideate solutions and put them in place. Being part of a  growing business means that sometimes it's not easy and we work hard, but our mission is always at the forefront of what we do. 

Diversity, Equity and Inclusion

The strength of our workforce is in the diverse backgrounds of our employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence. Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.

By applying for the above role, you confirm that you have reviewed our privacy notice for job applicants: https://flo.health/privacy-policy-for-job-applicants 

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