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- Tasks: Lead AI initiatives and build production ML systems in healthcare.
- Company: Innovative healthcare tech company in Greater London.
- Benefits: Competitive salary, mentorship opportunities, and significant ownership in projects.
- Why this job: Make a real impact on healthcare operations with cutting-edge technology.
- Qualifications: Strong software engineering background and extensive ML experience required.
- Other info: Be the first ML hire and shape the future of healthcare technology.
The predicted salary is between 48000 - 72000 £ per year.
A healthcare technology company in Greater London is seeking a Machine Learning Engineering Lead to drive AI initiatives and build production ML systems. As the first ML hire, you will architect solutions while mentoring a team and collaborating across departments.
The ideal candidate has a strong software engineering background, extensive ML experience, and a PhD or equivalent in a relevant field. This role offers the chance to make a meaningful impact on healthcare operations with significant ownership and influence.
ML Engineering Lead — Production AI for Healthcare in London employer: Foundation Health
Contact Detail:
Foundation Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineering Lead — Production AI for Healthcare in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare tech space, especially those working with AI and ML. Attend meetups or webinars to connect with potential colleagues and learn about opportunities that might not be advertised.
✨Tip Number 2
Showcase your expertise! Create a portfolio of your ML projects, especially those relevant to healthcare. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and system design questions, as these are often key in roles like the one we’re hiring for.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace ML Engineering Lead — Production AI for Healthcare in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering background and ML experience in your application. We want to see how your expertise aligns with our mission to drive AI initiatives in healthcare.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the ML Engineering Lead role. We love seeing candidates who take the time to connect their experiences with what we’re looking for.
Be Authentic: Let your personality shine through in your written application. We value authenticity and want to get a sense of who you are beyond your qualifications. Share your passion for healthcare technology and AI!
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 Foundation Health
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects in detail, especially those that relate to production systems in healthcare. This is your chance to showcase your expertise and how it can benefit the company.
✨Show Off Your Software Skills
Since a strong software engineering background is crucial for this role, be prepared to talk about your coding experience. Bring examples of your work, and if possible, demonstrate your problem-solving skills through coding challenges or whiteboard exercises during the interview.
✨Mentorship Mindset
As the first ML hire, you'll be expected to mentor others. Think about your leadership style and how you can foster a collaborative environment. Be ready to share examples of how you've successfully guided teams or individuals in the past.
✨Impact on Healthcare
This role is all about making a difference in healthcare operations. Prepare to discuss how your work can lead to tangible improvements in patient care or operational efficiency. Show your passion for the field and how you envision your contributions shaping the future of healthcare technology.
