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- Tasks: Develop and fine-tune machine learning models to revolutionise healthcare solutions.
- Company: VC-backed healthtech startup with a mission-driven team.
- Benefits: Competitive stock options and opportunities for impactful work.
- Why this job: Join a pioneering team and make a real difference in people's lives.
- Qualifications: Strong Python skills and experience with ML libraries and Large Language Models.
- Other info: Be one of the first hires and shape the future of healthtech.
The predicted salary is between 36000 - 60000 £ per year.
A VC-backed healthtech startup is seeking a Senior Machine Learning Engineer to develop and fine-tune machine learning models for healthcare. As one of the first hires, you will play a key role in leveraging voice and text data to create impactful solutions.
Ideal candidates will have a strong background in Python and ML libraries, and expertise in Large Language Models. Join a mission-driven team focused on improving lives through technology. Competitive stock options are included.
Foundational Senior ML Engineer - Healthtech AI employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundational Senior ML Engineer - Healthtech AI
✨Tip Number 1
Network like a pro! Reach out to people in the healthtech and AI space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving voice and text data. This will give you an edge over other candidates.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and ML libraries. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Foundational Senior ML Engineer - Healthtech AI
Some tips for your application 🫡
Show Your Passion for Healthtech: When writing your application, let us know why you're excited about healthtech and how you can contribute to improving lives through technology. A personal touch can really make your application stand out!
Highlight Relevant Experience: Make sure to showcase your experience with Python and ML libraries, especially if you've worked with Large Language Models. We want to see how your skills align with the role, so be specific about your past projects.
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the job description. Mention how your background fits the needs of our team and the exciting challenges we face in healthtech.
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 this amazing opportunity to join our mission-driven team!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your ML Models Inside Out
Make sure you brush up on your knowledge of machine learning models, especially Large Language Models. Be ready to discuss how you've developed and fine-tuned these models in the past, and think about specific examples where your work has made a difference in healthcare.
✨Showcase Your Python Skills
Since a strong background in Python is essential, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to ML libraries. Familiarise yourself with popular libraries like TensorFlow or PyTorch.
✨Understand the Healthtech Landscape
Research the current trends and challenges in healthtech. Being able to discuss how your skills can address these issues will show that you're not just technically proficient but also passionate about the mission of improving lives through technology.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the company's vision, team dynamics, and how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
