Senior AI/ML engineer

Senior AI/ML engineer

Full-Time 60000 - 84000 £ / year (est.) No working from home possible
Femtech Insider Ltd.

At a Glance

  • Tasks: Develop and optimise AI/ML systems for health applications, ensuring safety and performance.
  • Company: Join Flo, the world’s #1 health & fitness app with a mission to improve female health.
  • Benefits: Competitive salary, flexible working, paid sabbaticals, and enhanced parental leave.
  • Other info: Dynamic, mission-driven environment with opportunities for professional growth and collaboration.
  • Why this job: Be part of a groundbreaking team shaping the future of digital health with AI.
  • Qualifications: 4+ years in machine learning, strong Python skills, and experience with LLM infrastructure.

The predicted salary is between 60000 - 84000 £ per year.

Flo is the world’s #1 health & fitness app on a mission to build a better future for female health. We are looking for an AI/ML Platform Engineer to join the AI Platform team. This team builds and maintains Flo's shared platform for artificial intelligence, enabling every product team to use AI safely, efficiently, and at scale.

In this role, you will work at the intersection of machine learning engineering and MLOps, owning both the development and operationalization of AI/ML systems. Your responsibilities will span from fine-tuning and optimising large language models to building and maintaining the infrastructure that enables rapid experimentation and reliable deployment at scale.

The AI Platform team acts as the central enabler of machine learning and AI initiatives across the organisation. Its mission is to reduce operational overhead and maximise ROI from ML use cases. The team builds and maintains critical infrastructure including LLM evaluation frameworks, model deployment pipelines, fine-tuning infrastructure, user profiles store, experiment tracking systems, and monitoring frameworks.

What you’ll be doing:

  • Develop, fine-tune, and optimise large language models for domain-specific health applications.
  • Design and maintain automated pipelines for model training, fine-tuning, evaluation, and deployment.
  • Build and enhance LLM evaluation frameworks for measuring model safety, medical accuracy, and performance.
  • Implement CI/CD practices for ML/AI engineering workflows.
  • Orchestrate seamless deployment of models, AI agents, and inference endpoints.
  • Implement comprehensive monitoring for model performance, drift detection, and responsible AI compliance.
  • Constantly improve technical capabilities by researching and implementing best practices in LLMs and generative AI.
  • Work in a cross-functional setup alongside other Flo Teams.

Must have:

  • 4+ years of professional experience in machine learning.
  • Recent engineering experience with LLM infrastructure and tooling.
  • Strong Python programming skills.
  • Experience with modern ML infrastructure tools.
  • Cloud platform expertise with one of the Hyperscalers (AWS, GCP, or Azure).
  • Understanding of the entire ML/LLM development lifecycle.
  • Ability to devise creative solutions to intricate technical challenges.
  • Excellent communication skills and ability to collaborate with diverse teams.
  • Commitment to responsible AI practices.

Nice to have:

  • Experience with LLM fine-tuning techniques.
  • Containerisation and orchestration experience.
  • AI model serving experience.
  • Infrastructure as Code experience.
  • Experience building and managing data pipelines.
  • AI safety and governance experience.
  • Familiarity with statistical fundamentals.
  • Experience in the MedTech or HealthTech domain.

How we work:

We’re a mission-led, product-driven team. We move fast, stay focused and take ownership. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar.

What you’ll get:

  • 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.
  • Accelerated professional growth through world-changing work and learning support.
  • Flexible office + home working.
  • 5-week fully paid sabbatical at 5-year Floversary.
  • Flo Premium for friends & 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. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities.

Senior AI/ML engineer employer: Femtech Insider Ltd.

At Flo, we pride ourselves on being a mission-driven employer that champions innovation in female health through cutting-edge AI technologies. Our collaborative work culture fosters creativity and ownership, while our commitment to employee growth is reflected in competitive salaries, generous leave policies, and opportunities for professional development. With a focus on diversity and inclusion, we create an environment where every team member can thrive and contribute to meaningful health outcomes for millions of users worldwide.

Femtech Insider Ltd.

Contact Details:

Femtech Insider Ltd. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI/ML engineer

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Flo employees on LinkedIn. A personal connection can make all the difference when it comes to landing that interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your AI/ML projects, especially those related to health applications. This will give us a clear picture of what you can bring to the table and how you can contribute to our mission.

Tip Number 3

Prepare for the technical interview by brushing up on your Python skills and understanding LLM infrastructure. We love candidates who can demonstrate their problem-solving abilities and technical know-how during the interview process.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of the Flo team.

We think you need these skills to ace Senior AI/ML engineer

Machine Learning Engineering
MLOps
Large Language Models (LLMs)
Model Fine-Tuning
Python Programming
ML Infrastructure Tools
Databricks

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Senior AI/ML Engineer role. Highlight your experience with LLMs, Python programming, and any relevant projects that showcase your skills in machine learning and AI infrastructure.

Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about AI and how your background aligns with our mission at Flo. Share specific examples of your work that demonstrate your ability to build robust ML systems.

Showcase Your Projects:If you've worked on any interesting AI/ML projects, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they relate to health tech or generative AI.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Femtech Insider Ltd.

Know Your AI/ML Stuff

Make sure you brush up on the latest trends in AI and ML, especially around large language models. Be ready to discuss your hands-on experience with fine-tuning and deploying models, as well as any specific tools you've used like MLflow or Databricks.

Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled complex technical challenges in the past. Think about specific projects where you had to design ML pipelines or implement CI/CD practices, and be ready to explain your thought process.

Understand the Health Tech Landscape

Since Flo is focused on health applications, it’s crucial to demonstrate your understanding of the MedTech or HealthTech domain. Familiarise yourself with how AI can improve health outcomes and be prepared to discuss any relevant experience you have in this area.

Be a Team Player

Flo values collaboration across teams, so be ready to talk about your experience working in cross-functional setups. Highlight your communication skills and how you've successfully collaborated with product, security, and analytics teams in previous roles.