Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and fine-tune machine learning models to revolutionise personalised healthcare.
- Company: Join a mission-driven, VC-backed healthtech startup in London or Helsinki.
- Benefits: Enjoy equity options, a competitive salary, and a high-growth environment.
- Why this job: Shape the future of healthcare with cutting-edge AI technology that improves lives.
- Qualifications: Strong Python skills and experience with ML libraries like PyTorch or TensorFlow.
- Other info: Be a foundational hire with autonomy to influence the core tech infrastructure.
The predicted salary is between 48000 - 72000 ÂŁ per year.
You will be one of the first hires at a mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fineâtune machine learning models and LLMâintegrated APIs. Your work will bridge the gap between cuttingâedge AI and human care to empower providers and patients.
Location: London, UK or Helsinki, Finland
Why this role is remarkable:
- Join as a foundational hire with the autonomy to shape the core technical infrastructure of a growing business from the ground up.
- Work on a product that genuinely improves lives by blending human medical wisdom with the frontier of generative AI technology.
- Supported by topâtier VCs, you will enjoy a highâgrowth environment with significant stock options and the chance to lead R&D efforts.
What you will do:
- Develop and prototype new machine learning systems and LLM applications using unique proprietary healthcare datasets.
- Fineâtune existing models to optimize performance for specific clinical contexts and secure API integrations.
- Collaborate with crossâfunctional teams to ship impactful features quickly while ensuring safety and technical rigor.
The ideal candidate:
- Strong background in Python and ML libraries like PyTorch or TensorFlow, with experience in supervised and reinforcement learning.
- Handsâon expertise in fineâtuning Large Language Models, prompt engineering, and deploying models within cloud environments like AWS.
- Proactive startup mindset with a demonstrated ability to solve complex, realâworld problems and communicate technical concepts clearly.
Senior Machine Learning Engineer (+ Equity) at VC-backed healthtech startup in London employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Machine Learning Engineer (+ Equity) at VC-backed healthtech startup in London
â¨Tip Number 1
Network like a pro! Reach out to folks in the healthtech space, especially those who are already working at startups. A friendly chat can lead to insider info about job openings and even referrals.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that relate to healthcare. This will give potential employers a taste of what you can do and how you think.
â¨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML libraries. Practice coding challenges and be ready to discuss your experience with LLMs and cloud environments like AWS.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Machine Learning Engineer (+ Equity) at VC-backed healthtech startup in London
Some tips for your application đŤĄ
Show Your Passion for Healthtech: When writing your application, let your enthusiasm for healthtech shine through! We want to see how your skills can contribute to redefining personalized healthcare. Share any relevant experiences that highlight your commitment to improving lives through technology.
Highlight Your Technical Skills: Make sure to showcase your strong background in Python and ML libraries like PyTorch or TensorFlow. Weâre looking for someone who can hit the ground running, so donât hold back on detailing your hands-on expertise with fine-tuning models and deploying them in cloud environments.
Be Clear and Concise: We appreciate clarity! When you describe your past projects or experiences, keep it straightforward and to the point. Use bullet points if necessary to make your achievements stand out. Remember, we want to quickly grasp your capabilities and how they align with our mission.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity. Plus, it shows youâre proactive and ready to take the next step in your career with us!
How to prepare for a job interview at Jack and Jill AI
â¨Know Your Tech Inside Out
Make sure youâre well-versed in Python and the ML libraries mentioned, like PyTorch or TensorFlow. Brush up on your knowledge of supervised and reinforcement learning, as you might be asked to explain how you've applied these in past projects.
â¨Showcase Your Problem-Solving Skills
Prepare examples of complex problems you've tackled in previous roles, especially those related to machine learning. Be ready to discuss your thought process and how you approached finding solutions, as this will demonstrate your proactive startup mindset.
â¨Understand the Companyâs Mission
Research the healthtech startup's mission and values. Be prepared to discuss how your work can contribute to redefining personalised healthcare and improving lives through AI. This shows that youâre not just interested in the role, but also in the impact of your work.
â¨Prepare for Technical Questions
Expect technical questions about fine-tuning large language models and deploying them in cloud environments like AWS. Practise explaining these concepts clearly, as communication is key in a cross-functional team setting.
