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- Tasks: Lead the development of AI/ML systems that transform healthcare experiences.
- Company: Join Foundation Health, a pioneer in AI-powered digital pharmacy solutions.
- Benefits: Enjoy remote work, generous PTO, and comprehensive health coverage.
- Why this job: Make a real impact on healthcare while shaping the future of well-being.
- Qualifications: Strong software engineering skills and experience in production ML systems.
- Other info: Be the first ML hire with ownership and influence in a growing company.
The predicted salary is between 43200 - 72000 £ per year.
Join us in our mission to revolutionise healthcare. Together, let's build something extraordinary that will shape the future of well-being for generations to come. Embrace the opportunity to contribute to a team where your ideas and efforts make a tangible difference.
Foundation Health is transforming healthcare through an AI-powered digital pharmacy platform that seamlessly connects operational infrastructure with high quality patient experiences. Our mission is to transform patient centric care by connecting fragmented infrastructure, optimising care coordination, and removing friction from the patient journey.
This ambitious vision is only achievable with the dedication of the right team propelling us forward. We firmly believe that a supportive and inspiring work environment fuels creativity, transforming it into groundbreaking innovation. It is this very innovation that not only benefits our organisation but also positively impacts our people, partners, and most importantly, our patients.
The Role: We are hiring a Machine Learning Engineering Lead to own and scale AI/ML at Foundation Health. You'll be hands-on from day one, setting technical direction, building production ML systems, and growing the ML team from the ground up. You'll work closely with our software engineers and product teams to ship ML features that solve real healthcare problems. This isn't research-only or 'AI for AI's sake' - it's production ML in a regulated, high-impact environment.
What You’ll Do:
- Design, build, and deploy production ML systems across our platform
- Lead the technical vision for AI/ML and establish best practices
- Build and mentor a high-performing ML team
- Work closely with backend and platform engineers on system design
- Develop ML-powered automation features for healthcare workflows
- Use tools like OpenAI, Langfuse, and GCP Vertex AI in real-world applications
- Ensure ML systems are reliable, testable, observable, and secure
What We’re Looking For:
- Strong software engineering background with high coding standards
- Experience building and operating ML systems in production
- Solid understanding of system design, distributed systems, and architecture tradeoffs
- Comfortable writing clean, scalable, well-tested code
- Proven ability to lead technically while remaining hands-on
- Clear communicator who enjoys mentoring and collaboration
- Customer-focused mindset with empathy for end users
- Likely PhD-level background (or equivalent experience) in ML, AI, or a related field
Nice to Have:
- Experience with cloud ML platforms (GCP Vertex AI, AWS SageMaker)
- Knowledge of streaming data systems (Flink, Beam, Spark, Kafka)
- Familiarity with Infrastructure as Code (Terraform, Ansible, GitHub Actions)
- Strong interest in security, privacy, and regulated environments
- Experience with complex systems (e.g. payments, healthcare, finance)
Why Join Us?
- First ML hire with real ownership and influence
- Greenfield opportunity to define ML at a Series-A company
- Modern ML stack and real production problems
- Meaningful impact on healthcare operations
At Foundation Health, your work makes a real difference. Enjoy a culture that champions your growth and well-being, within a team that's reshaping healthcare for the better.
- Employee stock option program: Invest in our growth and share in Foundation Health's success.
- Generous PTO: Recharge with ample paid time off that supports your well-being.
- Remote working: Work from anywhere and thrive in a flexible, digital-first environment.
- Health, dental and vision plans: Comprehensive health coverage that puts your well-being first.
- Flexible working: Customise your work schedule for a perfect work-life harmony.
ML Engineering Lead in London employer: Foundationhealth
Contact Detail:
Foundationhealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and contributions. This is your chance to demonstrate your hands-on experience and technical prowess, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML engineering questions and be ready to discuss how you've tackled real-world problems in healthcare. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in being part of our mission to revolutionise healthcare.
We think you need these skills to ace ML Engineering Lead in London
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for transforming healthcare shine through. We want to see how your ideas can contribute to our mission and make a real difference in patients' lives.
Tailor Your CV: Make sure your CV is tailored to the ML Engineering Lead role. Highlight your experience with production ML systems and any relevant projects that showcase your skills. We love seeing how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for Foundation Health. Share specific examples of your work and how it relates to our goals. We appreciate a personal touch that reflects your understanding of our mission.
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 serious about joining our team!
How to prepare for a job interview at Foundationhealth
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your experience with production ML systems, as well as any tools like OpenAI or GCP Vertex AI that you've used. This is your chance to show how your skills can directly impact healthcare.
✨Showcase Your Leadership Skills
As a potential ML Engineering Lead, it's crucial to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided others in previous roles, and be ready to discuss your vision for building a high-performing ML team at Foundation Health.
✨Understand the Healthcare Context
Familiarise yourself with the challenges and opportunities in the healthcare sector, especially regarding patient-centric care. Being able to articulate how your work can improve patient experiences will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's mission and the role's expectations. Inquire about their current ML projects and how they envision the future of AI in healthcare. This shows your genuine interest and helps you assess if the company aligns with your values.
