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- Tasks: Develop and optimise large language models for health applications.
- Company: Leading healthtech company in London focused on global health.
- Benefits: Competitive salary, innovative work environment, and impactful projects.
- Why this job: Make a real difference in global health while working with cutting-edge AI technology.
- Qualifications: Over 4 years of experience in AI/ML systems and proficiency in Python.
- Other info: Join a dynamic team dedicated to improving medical safety for millions.
The predicted salary is between 43200 - 72000 £ per year.
A leading healthtech company in London seeks an experienced AI Engineer to develop and optimize large language models for health applications. You will build and scale AI infrastructure to ensure medical safety and high performance for millions of users.
Ideal candidates have over 4 years of experience in AI/ML systems, are skilled in Python and modern ML tools like Databricks. This role offers a unique opportunity to impact global health initiatives while working in an innovative environment.
AI Platform Engineer: Scale Safe LLMs for Global Health in London employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer: Scale Safe LLMs for Global Health in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthtech and AI space on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to AI/ML systems. Include any work with large language models or Python applications, as this will make you stand out to employers looking for expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Databricks and other modern ML tools. Practise common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team and making an impact in global health.
We think you need these skills to ace AI Platform Engineer: Scale Safe LLMs for Global Health in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with AI/ML systems and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention your experience with large language models and any relevant projects you've worked on. It helps us see why you’re the perfect fit!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to understand your qualifications and passion for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jack & Jill
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML systems, especially large language models. Be ready to discuss your past projects and how you've optimised models for performance and safety in health applications.
✨Show Off Your Python Skills
Since Python is a key requirement, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to AI/ML to show you're up to speed with modern tools like Databricks.
✨Understand the Health Context
Familiarise yourself with the healthtech landscape and current global health initiatives. Being able to discuss how your work can impact health outcomes will show your passion and understanding of the role's significance.
✨Ask Smart Questions
Prepare insightful questions about the company's AI infrastructure and their approach to scaling LLMs. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
