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- Tasks: Build and fine-tune machine learning models to redefine personalized healthcare.
- Company: VC-backed healthtech startup focused on innovative solutions.
- Benefits: Significant stock options, high-growth environment, and autonomy in your role.
- Why this job: Shape the future of healthcare with cutting-edge AI technology.
- Qualifications: Experience in machine learning and a passion for improving lives.
- Other info: Join a mission-driven team and make a real impact.
The predicted salary is between 54000 - 84000 £ per year.
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. Senior Machine Learning Engineer Company Description: VC-backed healthtech startup.
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.
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 top-tier VCs, you will enjoy a high-growth environment with significant stock options and the chance to lead.
Senior Machine Learning Engineer employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to Jack and other connections in the industry. A personal introduction can make all the difference, so don’t be shy about leveraging your contacts.
✨Tip Number 2
Prepare for the chat with Jack by brushing up on the latest trends in machine learning and healthcare tech. Show that you’re not just a candidate, but a passionate expert ready to contribute to the mission.
✨Tip Number 3
Be ready to discuss your past projects and how they relate to the role. Highlight your experience with machine learning models and APIs, and how they can impact patient care positively.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re serious about joining this exciting healthtech startup.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your experience with machine learning models and any relevant projects that showcase your skills in AI and healthcare.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about personalised healthcare and how your background makes you a perfect fit for our mission-driven startup.
Showcase Your Technical Skills: Don’t forget to include specific technical skills and tools you’ve worked with, especially those related to LLMs and APIs. We want to see how you can bridge AI and human care!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from Jill or Jack!
How to prepare for a job interview at Jack & Jill
✨Know Your Stuff
Make sure you brush up on the latest trends in machine learning and AI, especially as they relate to healthcare. Be ready to discuss specific algorithms, models, and your past projects. This shows you’re not just a theoretical expert but someone who can apply knowledge practically.
✨Show Your Passion for Healthcare
Since this role is about redefining personalized healthcare, it’s crucial to express your enthusiasm for the field. Share any relevant experiences or insights that demonstrate your commitment to improving patient care through technology. This will resonate well with the mission-driven nature of the startup.
✨Prepare for Technical Challenges
Expect to face technical questions or even coding challenges during the interview. Practice common machine learning problems and be prepared to explain your thought process clearly. This will help the interviewers see how you approach problem-solving in real-time.
✨Ask Insightful Questions
Interviews are a two-way street, so come armed with thoughtful questions about the company’s vision, the team dynamics, and how they measure success. This not only shows your interest but also helps you gauge if the company aligns with your values and career goals.
