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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 - 60000 £ 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 in England 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 in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with other ML engineers. 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 technical interviews by brushing up on your Python and Google Cloud Platform skills. Practice coding challenges and be ready to discuss your past projects in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Ml Engineer: Build Production Healthcare Ai Platform in England
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 our mission to build a pioneering healthcare AI platform.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and healthcare, and explain why you’re the perfect fit for this role. Let us know how your experience can help us in productionising ML models and developing data pipelines.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your past work that demonstrate your expertise in MLOps and ML infrastructure. We love seeing real-world applications of your skills!
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. We can’t wait to hear from you!
How to prepare for a job interview at Zebra People
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your thought process behind choosing specific algorithms, how you handled data preprocessing, and any challenges you faced during productionisation.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, brush up on your coding skills. Be ready to solve coding problems on the spot or discuss your previous projects where you used Python extensively. Practice explaining your code clearly and concisely.
✨Familiarise Yourself with MLOps
Understanding MLOps protocols is crucial for this position. Research best practices in deploying and maintaining ML models in production. Be prepared to discuss how you would implement these protocols in a healthcare setting, considering compliance and data security.
✨Prepare Questions About the Company’s Mission
This role is in a mission-driven environment, so show your enthusiasm for their goals. Prepare thoughtful questions about their healthcare AI initiatives and how they impact patient outcomes. This demonstrates your genuine interest in the company and its mission.
