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- Tasks: Design and implement cutting-edge AI and ML infrastructure for healthcare.
- Company: Pioneering health AI company in the UK with a mission-driven culture.
- Benefits: Competitive salary, equity participation, and attractive benefits.
- Why this job: Join a revolutionary team making a real impact in healthcare through AI.
- Qualifications: 5+ years in machine learning engineering, strong Python and Google Cloud skills.
- Other info: Dynamic work environment with opportunities for growth and innovation.
The predicted salary is between 43200 - 66000 £ per year.
A pioneering health AI company in the UK seeks a Senior Machine Learning Engineer to design and implement their AI and ML infrastructure. This role will involve the productionization of ML models, development of data pipelines, and establishing MLOps protocols.
The ideal candidate will have over 5 years of experience in machine learning engineering and strong skills in Python and Google Cloud Platform.
Attractive benefits include:
- Competitive salary ranging from $160,000 to $220,000
- Equity participation
- Mission-driven work environment
Senior ML Engineer: Build Production Healthcare AI Platform employer: Zebra People
Contact Detail:
Zebra People Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Build Production Healthcare AI Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to healthcare AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in ML and AI. Practice common interview questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior ML Engineer: Build Production Healthcare AI Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning engineering, especially with Python and Google Cloud Platform. 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! Tell us why you’re passionate about healthcare AI and how your background makes you the perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool ML projects, make sure to mention them! Whether it's productionising models or developing data pipelines, we want to know what you've done and how it relates to the role. Links to GitHub or other portfolios are a bonus!
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 role. Plus, it gives you a chance to explore more about our mission-driven work environment!
How to prepare for a job interview at Zebra People
✨Know Your ML Models Inside Out
Make sure you can discuss the ML models you've worked on in detail. Be prepared to explain how you productionised them, the challenges you faced, and how you overcame them. This shows your hands-on experience and problem-solving skills.
✨Showcase Your Python Proficiency
Since Python is a key skill for this role, brush up on your coding skills. Be ready to solve coding problems or even walk through your previous projects. Highlight any libraries or frameworks you've used that are relevant to healthcare AI.
✨Familiarise Yourself with MLOps
Understanding MLOps protocols is crucial for this position. Prepare to discuss how you've implemented MLOps in past projects, including CI/CD pipelines and monitoring strategies. This will demonstrate your ability to maintain and scale ML systems effectively.
✨Research the Company’s Mission
Dive into the company’s mission and values. Be ready to articulate how your experience aligns with their goals in healthcare AI. Showing genuine interest in their mission can set you apart from other candidates.
