Senior/Staff MLOps engineer
Posted on August 11, 2025 (2 days ago)
400M+ downloads. 75M+ monthly users. A decade of building 26 we27re still accelerating.
Flo is the world27s #1 health app 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 26 we27re not slowing down.
With 6M paid subscribers and the highest-rated experience in the App Store27s health category, we27ve spent 10 years earning trust at scale. Now, we27re building the next generation of digital health 26 AI-powered, privacy-first, clinically backed 26 to help our users know their body better.
The job
We27re a world-class team of product builders, engineers, data scientists, growth hackers, user researchers, designers, and medical experts 26 all building an app that generates long-term value to our millions of users worldwide. Our engineers aren27t just building a better product; they27re making the world a better place by improving access to important health information. We leverage machine learning and AI to provide accurate cycle predictions and relevant, personalized, and medically credible health tips.
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.
Your Experience
Must have:
- 4+ 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 26 orchestration experience with Docker, Kubernetes, and ML-specific operators
- AI model serving experience with modern inference servers and API gateways for AI applications
Nice to have:
- 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 26 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 you'll be doing
- 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
#LI-Hybrid #LI-LM12
How we work
We27re a mission-led, product-driven team. We move fast, stay focused and take ownership 26 from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.
You27ll 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.
What you27ll get
- Competitive salary and annual reviews
- Opportunity to participate in Flo27s 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
- Flexible office + home working, up to 2 months a year working abroad
- 5-week fully paid sabbatical at 5-year Floversary
- Flo Premium for friends 26 family, plus more health, pension and wellbeing perks
Diversity, equity and inclusion
Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role 26 nothing else. We27re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.
Please apply via the original job posting on Greenhouse: https://job-boards.greenhouse.io/flohealth/jobs/6655697003?gh_jid=6655697003