Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and prototype innovative ML systems and LLM applications in healthtech.
- Company: Exciting healthtech startup in the UK with a focus on improving patient lives.
- Benefits: Competitive salary, equity options, and the chance to shape the future of healthcare.
- Why this job: Be a foundational hire and make a real impact with unique healthcare datasets.
- Qualifications: Strong Python skills and experience with ML libraries required.
- Other info: Join a growing company backed by top-tier VCs with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A healthtech startup in the UK seeks a Senior Machine Learning Engineer to develop and prototype innovative ML systems and LLM applications. Join as a foundational hire, where you will leverage unique healthcare datasets to optimize models that genuinely improve patients' lives.
The ideal candidate has strong Python skills, experience with ML libraries, and a proactive approach to complex problem-solving. This position offers opportunities for significant impact in a growing company backed by top-tier VCs.
Founding ML Engineer — Healthtech AI & LLMs in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding ML Engineer — Healthtech AI & LLMs in London
✨Tip Number 1
Network like a pro! Reach out to people in the healthtech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for ML.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to healthcare datasets or ML applications. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios that might come up in the role. Practising with mock interviews can really help us nail it!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Founding ML Engineer — Healthtech AI & LLMs in London
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python expertise in your application. We want to see how you've used it in past projects, especially in ML systems or LLM applications. Don't hold back on the details!
Demonstrate Your Problem-Solving Prowess: We love a proactive approach! Share examples of complex problems you've tackled in your previous roles. This will help us understand how you think and how you can contribute to our mission.
Tailor Your Application: Take a moment to customise your application for us. Mention specific experiences that relate to healthtech and how you can leverage unique healthcare datasets. It shows you're genuinely interested in this role!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Jack & Jill
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and Python skills. Be ready to discuss specific ML libraries you've worked with, and think of examples where you've successfully applied them in real-world scenarios, especially in healthtech.
✨Showcase Your Problem-Solving Skills
Prepare to tackle complex problem-solving questions. Think about challenges you've faced in previous projects and how you approached them. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Understand the Healthcare Landscape
Familiarise yourself with current trends and challenges in healthtech. Being able to discuss how your work can genuinely improve patient lives will show your passion for the field and align with the company's mission.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s vision, the datasets you'll be working with, and the impact of your role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
