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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 48000 - 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 Manchester 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 Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those working with ML 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 are proactive about their job search. Let’s get you into that dream role!
We think you need these skills to ace Production ML Lead, Healthcare LLM Systems in Manchester
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your strong Python skills and any experience you have with LLM frameworks. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your understanding of RAG systems and how you've applied best practices in regulated environments before. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role. Let us see your personality shine through!
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 the position. Plus, it’s super easy!
How to prepare for a job interview at Foundation Health
✨Know Your ML Frameworks
Make sure you brush up on your knowledge of LLM frameworks before the interview. Be ready to discuss your experience with them and how you've applied them in past projects. This will show that you’re not just familiar with the theory but have practical skills to back it up.
✨Demonstrate Your Python Proficiency
Since strong Python skills are a must for this role, prepare to showcase your coding abilities. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Understand RAG Systems
Get a solid grasp of Retrieval-Augmented Generation (RAG) systems. Be prepared to explain how they work and their applications in healthcare tech. This will demonstrate your ability to think critically about the technology and its impact on the industry.
✨Show Your Collaborative Spirit
This role involves working closely with product and platform engineers, so be ready to discuss your teamwork experiences. Share examples of how you’ve successfully collaborated in the past, especially in regulated environments, to highlight your adaptability and communication skills.
