Product: Women's hormonal and reproductive health app (cycle tracking, fertility, pregnancy, medically reviewed content)
Recent funding: Series C >$200M led by General Atlantic (Jul 30, 2024); valuation > $1B
Employees: Approximately 684
Total reported funding: Approximately $276.4M
Company Overview
Problem Domain
Women's hormonal and reproductive health (cycle tracking, fertility, pregnancy, perimenopause).
Founded
2015
Industry
Digital health / Women's health
Funding Track Record
Seed- Dec 15, 2016
1,000,000
Seed round led by Flint Capital (reported)
Series B- Sep 9, 2021
50,000,000
Series B reported at $50M
Series C- Jul 30, 2024
200,000,000
Series C minority investment; reported valuation > $1B
Founders
What we do
Join the Team
Machine Learning Operations Engineer
On-SiteLondon, GB
On-Site • London, GB
Related Companies
Company
HQ
Industry
Total Funding
Cleo
🇬🇧GB
Finance
$138M
Doccla
🇬🇧GB
Health
$74M
Elliptic
🇬🇧GB
Security
$101M
Nabla
🇺🇸US
Health
-
ZOE
🇬🇧GB
Health
$100M
Who you are
7+ years of industry experience building and deploying production-grade AI/ML systems
Recent hands-on engineering experience with AI/LLM infrastructure and tooling (pure ML modelling is not required)
Strong proficiency with Python, and familiarity with Scala, Go, or Rust
Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI)
Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine Learning for end-to-end AI/ML workflows
Modern ML infrastructure experience with tools like MLflow or similar platforms
Containerization & orchestration experience with Docker, Kubernetes, and ML-specific operators
AI model serving experience with modern inference servers and API gateways for AI applications
Infrastructure as Code experience with Terraform, Ansible, or any other IaC tool of choice
Distributed computing experience with Databricks, Ray, or Spark for large-scale AI workloads
AI safety & governance experience with model evaluation, bias detection, and responsible AI practices
Multi-modal AI experience with vision-language models, speech processing, or other modalities
Experience at the Tier-1 product company or related experience working within the product organisation
What the job involves
Benefits
Participation in Flo’s success: We firmly believe every employee contributes to the company’s growth and its future success. All employees are eligible to participate in Flo’s Employee Share Ownership Plan (ESOP) and be awarded equity to participate in the long-term value creation of the business
Family benefits: We know having a baby can be a big transition for the family, so we're proud to offer 1 month fully paid paternity leave to be there and bond with your baby and 6 months of fully paid maternity leave, with a $5000 bonus on your return to work to help you settle into this new chapter of your life. (Depending on your country there may be additional options for parental time off and shared parental leave beyond the early days)
Our popular Workation policy also allows you to work from anywhere for up to 2 months a year
Startup jobs. A lot of them.
Your next opportunity is in here somewhere. Sign up to explore 52,000+ startups and their open roles. No spam. No gamification. Just jobs.
52,000+
Startups
66,000+
Open Roles
1,300+
New This Week
Software Engineer
Part-timeBelgrade, RS
Part-time • Belgrade, RS
Product Designer
InternshipNew York, US
Internship • New York, US
Product Designer
Part-timeNew York, US
Part-time • New York, US
DevOps Engineer
InternshipLondon, GB
Internship • London, GB
Technical Writer
Full-timeLondon, GB
Full-time • London, GB
DevOps Engineer
Full-timeHaifa
Full-time • Haifa
In this role, you will own the end-to-end AI/ML pipeline, including CI/CD processes for ML and AI engineering workflows
Your responsibilities will encompass managing code, versioning datasets, foundation and fine-tuned models, AI agents, and production endpoints
This will enable ML Engineers to collaborate effectively, experiment efficiently, and scale rapidly across both traditional ML workloads and modern AI applications
The AI Platform team acts as the central enabler of machine learning and AI initiatives across the organization. Its mission is to reduce operational overhead and maximize ROI from ML use cases
As the backbone of ML operations, the team builds and maintains critical infrastructure, including feature stores, model deployment pipelines, experiment tracking systems, and monitoring frameworks
. By working closely with domain teams, the AI Platform team delivers scalable, high-quality solutions that accelerate time-to-market while ensuring compliance and maintaining the highest standards of performance
Design and maintain automated pipelines for both traditional ML models and modern AI systems including LLMs, multimodal models, and AI agents
Implement robust CI/CD practices for model training, fine-tuning, evaluation, and deployment across diverse AI workloads
Orchestrate seamless deployment of models, AI agents, and inference endpoints with automated testing and rollback capabilities
Build and maintain infrastructure for large language model inference, fine-tuning, and serving at scale
Implement comprehensive monitoring for model performance, drift detection, AI safety metrics, and responsible AI compliance
Evolve operational processes to support both traditional ML and cutting-edge AI technologies
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
Resources you need to thrive: At Flo you will have access to internal and external learning resources and tools to challenge your knowledge and push yourself further every day. We support career progression from within through personal development plans and dedicated Learning & Development budget to help you thrive
Holiday and sick leave: It’s important to take time off to recharge and spend time with family and friends. We offer 25 days (28 for vice presidents and above) paid holiday in addition to the local public holidays and 30 days fully paid sick leave per year
Flexible workplace: We want to provide a setup that gives our employees the flexibility they need, while also getting important face to face time with the team. With this in mind, we encourage teams to spend 2 days/week in the office.
