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- Tasks: Lead the design and operation of customer-facing ML systems in healthcare.
- Company: Top healthcare tech firm in the UK with a focus on innovation.
- Benefits: Stock options, flexible hybrid working, and a supportive work culture.
- Why this job: Make a real difference in healthcare using cutting-edge machine learning technology.
- Qualifications: Strong Python skills and experience with LLM frameworks required.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading healthcare tech firm in the United Kingdom is looking for a Machine Learning Engineer to design and operate customer-facing LLM systems. You will take ownership of the full ML lifecycle and collaborate closely with product and platform engineers to implement best practices in a regulated environment.
Candidates should have:
- Strong Python skills
- Experience with LLM frameworks
- A good understanding of RAG systems
The position offers stock options and flexible hybrid working arrangements.
Production ML Lead, Healthcare LLM Systems in London employer: Foundation Health
Contact Detail:
Foundation Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Production ML Lead, Healthcare LLM Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those working with LLM systems. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub showcasing your Python projects or LLM frameworks, make sure to highlight them during interviews. We want to see what you've built and how you think!
✨Tip Number 3
Prepare for technical questions! Brush up on your knowledge of RAG systems and be ready to discuss how you would implement best practices in a regulated environment. Confidence is key, so practice makes perfect!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Production ML Lead, Healthcare LLM Systems in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python skills and experience with LLM frameworks in your application. We want to see how you can take ownership of the ML lifecycle, so don’t hold back on showcasing your relevant projects!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your background aligns with designing and operating customer-facing LLM systems, and how you can implement best practices in a regulated environment. We love seeing candidates who really get what we’re about!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and experiences. Avoid jargon unless it’s relevant to the role!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at StudySmarter!
How to prepare for a job interview at Foundation Health
✨Know Your ML Basics
Make sure you brush up on your machine learning fundamentals, especially around LLM frameworks and RAG systems. Be ready to discuss how you've applied these in past projects, as this will show your practical experience and understanding of the concepts.
✨Showcase Your Python Skills
Since strong Python skills are a must for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem or explain your code during the interview, so practice coding challenges beforehand to feel confident.
✨Understand the Healthcare Context
Familiarise yourself with the healthcare tech landscape and any regulations that might affect ML systems in this field. Being able to discuss how you would navigate these challenges will impress the interviewers and show your commitment to the industry.
✨Collaborative Mindset
This role involves working closely with product and platform engineers, so be prepared to talk about your teamwork experiences. Share examples of how you've successfully collaborated in the past, particularly in regulated environments, to highlight your ability to work well with others.
