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- Tasks: Lead the development of AI/ML systems that transform healthcare experiences.
- Company: Foundation Health is revolutionising healthcare with an AI-powered digital pharmacy platform.
- Benefits: Enjoy generous PTO, remote work options, and comprehensive health coverage.
- Why this job: Make a meaningful impact on healthcare while shaping the future of patient care.
- Qualifications: Strong software engineering skills and experience in building production ML systems.
- Other info: Join a supportive team where your ideas drive innovation and growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join us in our mission to revolutionize 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. The journey awaits – come be a part of building the future with Foundation Health.
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, optimizing 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 organization but also positively impacts our people, partners, and most importantly, our patients.
The Role: We’re 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: Customize your work schedule for a perfect work-life harmony.
ML Engineering Lead employer: Foundationhealth
Contact Detail:
Foundationhealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Lead
✨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 or similar fields.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows your genuine interest in joining Foundation Health and being part of our mission to revolutionise healthcare.
We think you need these skills to ace ML Engineering Lead
Some tips for your application 🫡
Show Your Passion for Healthcare: When writing your application, let your enthusiasm for transforming healthcare shine through. We want to see how your skills and experiences align with our mission to improve patient care and make a real difference in people's lives.
Highlight Your Technical Skills: Make sure to showcase your software engineering background and any experience you have with ML systems. We’re looking for someone who can hit the ground running, so don’t hold back on detailing your technical expertise and projects you've worked on.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so use simple language to explain your experiences and how they relate to the role. This will help us understand your fit for the position quickly.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Foundationhealth
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and be ready to discuss your experience with production ML systems. Be prepared to explain how you've tackled real-world problems using ML, as this role is all about applying your knowledge in a practical setting.
✨Show Off Your Leadership Skills
Since this position involves leading a team, think of examples where you've successfully mentored others or led projects. Highlight your ability to communicate complex ideas clearly and how you've fostered collaboration among team members.
✨Understand the Healthcare Context
Familiarise yourself with the healthcare industry and the specific challenges it faces. Being able to discuss how ML can improve patient experiences or streamline operations will show that you're not just technically savvy but also customer-focused.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for AI/ML and how they plan to tackle regulatory challenges. This shows your genuine interest in the role and helps you gauge if the company aligns with your values and career goals.
