AI/ML engineer in London

AI/ML engineer in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop and optimise AI/ML systems for the world's #1 health app.
  • Company: Join Flo, a leading health & fitness app transforming female health.
  • Benefits: Competitive salary, flexible working, and generous leave policies.
  • Why this job: Make a real impact on women's health with cutting-edge AI technology.
  • Qualifications: 4+ years in machine learning and strong Python skills required.
  • Other info: Collaborative environment with opportunities for professional growth.

The predicted salary is between 36000 - 60000 £ 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.
  • Flexible office + home working.
  • 5-week fully paid sabbatical at 5-year Floversary.
  • Diversity, equity and inclusion.

We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities.

AI/ML engineer in London employer: FLO

Flo is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the rapidly evolving field of AI and health technology. With competitive salaries, generous leave policies, and a commitment to professional growth, employees are empowered to make a meaningful impact while enjoying flexible working arrangements and unique benefits like a fully paid sabbatical. Join us in our mission to revolutionise female health and be part of a diverse team that values every individual's contribution.
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Contact Detail:

FLO Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow AI/ML enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. Share your work on platforms like GitHub or even your own website to grab the attention of potential employers.

✨Tip Number 3

Prepare for interviews by brushing up on common AI/ML questions and practical coding challenges. Practice explaining your thought process clearly, as communication is key in tech roles.

✨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, we love seeing candidates who are genuinely interested in joining our mission.

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

Machine Learning Engineering
MLOps
Large Language Models (LLMs)
Model Fine-Tuning
Python Programming
ML Infrastructure Tools
Cloud Platform Expertise (AWS, GCP, Azure)
CI/CD Practices
Experiment Tracking
Model Evaluation Frameworks
Automated Testing
Monitoring for Model Performance
Responsible AI Practices
Containerisation and Orchestration (Docker, Kubernetes)
Data Pipeline Management

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the AI/ML Engineer role. Highlight your experience with LLMs and any relevant projects you've worked on. We want to see how your skills align with our mission at Flo!

Showcase Your Passion: Let us know why you're excited about AI and machine learning, especially in the health sector. Share any personal projects or research that demonstrate your enthusiasm for cutting-edge technologies. We love seeing candidates who are genuinely passionate!

Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate a well-structured application that makes it easy for us to see your qualifications.

Apply Through Our Website: Don't forget to submit your application through our official website! This ensures that we receive all your details correctly and helps us process your application smoothly. We can't wait to hear from you!

How to prepare for a job interview at FLO

✨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 tools like MLflow or Databricks, and how you've implemented CI/CD practices in your previous roles.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex technical challenges. Think about times when you had to design ML pipelines or optimise model performance, and be ready to explain your thought process clearly.

✨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 projects you've worked on.

✨Be a Team Player

Flo values collaboration, so highlight your experience working in cross-functional teams. Share examples of how you've communicated effectively with diverse groups, whether it's product, security, or analytics teams, to achieve common goals.

AI/ML engineer in London
FLO
Location: London

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