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- Tasks: Build and fine-tune machine learning models to revolutionise personalised healthcare.
- Company: Join a VC-backed healthtech startup on a mission to improve lives.
- Benefits: Enjoy equity options, a high-growth environment, and the chance to lead R&D efforts.
- Why this job: Shape the future of healthcare by blending AI with human care.
- Qualifications: Strong Python skills and experience with ML libraries like PyTorch or TensorFlow.
- Other info: Be one of the first hires and make a real impact in a dynamic startup.
The predicted salary is between 48000 - 72000 £ 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 fine‑tune machine learning models and LLM‑integrated APIs. Your work will bridge the gap between cutting‑edge AI and human care to empower providers and patients.
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 top‑tier VCs, you will enjoy a high‑growth 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.
- Fine‑tune existing models to optimize performance for specific clinical contexts and secure API integrations.
- Collaborate with cross‑functional 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.
- Hands‑on expertise in fine‑tuning Large Language Models, prompt engineering, and deploying models within cloud environments like AWS.
- Proactive startup mindset with a demonstrated ability to solve complex, real‑world problems and communicate technical concepts clearly.
Senior Machine Learning Engineer (+ Equity) at VC-backed healthtech startup employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer (+ Equity) at VC-backed healthtech startup
✨Tip Number 1
Network like a pro! Reach out to people in the healthtech and AI space on LinkedIn. A friendly message can go a long way, and you never know who might have an inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to healthcare. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in a collaborative environment.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our mission-driven team. Plus, it makes it easier for us to keep track of your application!
We think you need these skills to ace Senior Machine Learning Engineer (+ Equity) at VC-backed healthtech startup
Some tips for your application 🫡
Show Your Passion for Healthcare: When writing your application, let us know why you're excited about the intersection of AI and healthcare. Share any personal experiences or insights that drive your passion for improving lives through technology.
Highlight Relevant Experience: Make sure to showcase your background in Python and ML libraries like PyTorch or TensorFlow. We want to see how your hands-on expertise aligns with the role, so don’t hold back on those impressive projects you've worked on!
Be Clear and Concise: We appreciate clarity! Use straightforward language to explain your technical skills and experiences. Avoid jargon where possible, and make it easy for us to understand your contributions and achievements.
Apply Through Our Website: To ensure your application gets the attention it deserves, please apply directly through our website. This helps us keep everything organised and makes it easier for us to review your application thoroughly.
How to prepare for a job interview at Jack and Jill AI
✨Know Your Tech Inside Out
Make sure you’re 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.
✨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 the impact of your solutions, as this startup values a proactive mindset.
✨Understand the Healthcare Context
Since this role is in healthtech, familiarise yourself with how machine learning can improve healthcare outcomes. Think about how you can bridge AI and human care, and be prepared to discuss your vision for this integration during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s mission, the team dynamics, and the technical challenges they face. This shows your genuine interest in the role and helps you assess if the startup aligns with your career goals.
