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- Tasks: Lead AI/ML projects and design production ML systems in healthcare.
- Company: Innovative healthcare tech company focused on AI advancements.
- Benefits: Equity, generous PTO, and a comprehensive benefits package.
- Why this job: Make a real difference in healthcare while working remotely.
- Qualifications: Experience in building ML systems and strong engineering skills.
- Other info: Flexible work environment with opportunities for mentorship and growth.
The predicted salary is between 43200 - 72000 £ per year.
A healthcare technology company in the UK is seeking a Machine Learning Engineering Lead to drive AI/ML initiatives. You will design and deploy production ML systems while working closely with engineers and product teams.
The ideal candidate has experience in building ML systems, a strong engineering background, and a proactive mindset towards teamwork and mentoring.
This position offers flexibility and the opportunity to impact healthcare significantly, along with a comprehensive benefits package.
Lead ML Engineer — Remote, Equity & Generous PTO in London employer: Foundationhealth
Contact Detail:
Foundationhealth Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer — Remote, Equity & Generous PTO in London
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those working with AI/ML. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects and contributions. This is your chance to demonstrate your engineering prowess and proactive mindset to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your experience in building ML systems and how you’ve mentored others. We want to see your teamwork spirit shine!
✨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 genuinely interested in joining our mission to impact healthcare.
We think you need these skills to ace Lead ML Engineer — Remote, Equity & Generous PTO in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building ML systems and your engineering background. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI/ML in healthcare and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Teamwork and Mentoring Skills: Since this role involves working closely with engineers and product teams, highlight any experiences where you’ve collaborated or mentored others. We value a proactive mindset, so let us know how you’ve contributed to team success!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our amazing team at StudySmarter!
How to prepare for a job interview at Foundationhealth
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks. Be ready to discuss your experience in building production ML systems, as well as any specific projects you've worked on. This will show that you’re not just familiar with the theory but have practical experience too.
✨Showcase Your Team Spirit
Since this role involves working closely with engineers and product teams, be prepared to talk about your teamwork experiences. Share examples of how you've collaborated on projects, mentored others, or contributed to a positive team environment. This will highlight your proactive mindset and leadership potential.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on algorithms, data structures, and system design principles relevant to ML. Practising coding challenges can also help you feel more confident when tackling these questions.
✨Understand the Company’s Impact
Research the healthcare technology company and understand their mission and how they leverage AI/ML to improve healthcare. Being able to articulate how your skills align with their goals will demonstrate your genuine interest in the position and the impact you could make.
