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- Tasks: Develop ML systems and LLM applications to revolutionise healthcare.
- Company: Pioneering healthtech startup in the UK with a focus on innovation.
- Benefits: Stock options, competitive salary, and a supportive work environment.
- Why this job: Shape the future of healthcare technology and lead impactful projects.
- Qualifications: Strong Python skills, experience with ML libraries and LLMs.
- Other info: Be one of the first hires and enjoy excellent career growth opportunities.
The predicted salary is between 42000 - 84000 £ per year.
A pioneering healthtech startup in the UK seeks a Senior Machine Learning Engineer to develop ML systems and LLM applications. As one of the first hires, you will shape the technical infrastructure and work on influential projects that improve healthcare.
Candidates should have a strong background in Python and ML libraries, hands-on experience with LLMs, and a proactive mindset. This role includes stock options and a chance to lead R&D efforts in a supportive environment.
Foundational ML Engineer for Health AI & LLMs in London employer: Jack and Jill AI
Contact Detail:
Jack and Jill AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Foundational ML Engineer for Health AI & LLMs in London
✨Tip Number 1
Network like a pro! Reach out to folks in the healthtech and ML space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and LLMs. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Be ready to discuss your hands-on experience with LLMs and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to 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 ML Engineer for Health AI & LLMs in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and ML libraries in your application. We want to see how you've used these skills in real-world projects, especially if you've worked with LLMs before!
Be Proactive: We love candidates who take initiative! In your written application, share examples of how you've tackled challenges or led projects in the past. This will show us that you have the proactive mindset we're looking for.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our job description. Mention specific projects or experiences that align with the role of a Foundational ML Engineer in Health AI & LLMs.
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 and Jill AI
✨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 prepare to explain how you've applied them in real-world scenarios, especially in health tech.
✨Showcase Your LLM Experience
Since this role focuses on LLM applications, be prepared to dive deep into your hands-on experience with these models. Discuss any projects where you've implemented LLMs, the challenges you faced, and how you overcame them.
✨Be Proactive and Innovative
This startup is looking for someone with a proactive mindset. Think of examples where you've taken the initiative in past roles, whether it was leading a project or suggesting improvements. Show them you're not just a follower but a leader in R&D.
✨Cultural Fit Matters
As one of the first hires, you'll help shape the company culture. Research the startup's values and mission, and be ready to discuss how your personal values align with theirs. This will show that you're not just interested in the job, but in being part of their journey.
