At a Glance
- Tasks: Design and implement ML systems for a transformative healthcare platform.
- Company: Onsera Health, a fast-paced and innovative healthcare tech company.
- Benefits: Competitive salary, equity participation, and comprehensive benefits package.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Join us to tackle critical healthcare challenges with cutting-edge AI technology.
- Qualifications: Over 5 years of experience in machine learning engineering and strong Python skills.
The predicted salary is between 60000 - 80000 £ per year.
Onsera Health seeks a Senior Machine Learning Engineer to develop the AI infrastructure for a transformative healthcare platform. You will design and implement ML systems, collaborating closely with data science and platform engineering teams.
Candidates should have over 5 years of experience in machine learning engineering and strong Python skills. The role offers a competitive salary and benefits package, including equity participation, in a fast-paced and innovative environment. Join us in addressing critical healthcare challenges.
Senior ML Engineer, AI Platform & MLOps on GCP in London employer: Onsera Health
Contact Detail:
Onsera Health Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer, AI Platform & MLOps on GCP in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at Onsera Health. A friendly chat can sometimes lead to insider info or even a referral, which can give you a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those relevant to healthcare. This not only demonstrates your expertise but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML concepts. We recommend practicing coding challenges and system design questions that are specific to machine learning engineering roles.
✨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 the team at Onsera Health.
We think you need these skills to ace Senior ML Engineer, AI Platform & MLOps on GCP in London
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning engineering. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills and projects!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Senior ML Engineer position. We love seeing candidates who take the time to connect their experiences with what we’re looking for in this transformative healthcare platform.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Onsera Health
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and algorithms. Be ready to discuss your past projects in detail, especially those that involved designing and implementing ML systems. This is your chance to showcase your expertise and how it aligns with the role at Onsera Health.
✨Python Proficiency is Key
Since strong Python skills are a must-have, be prepared to demonstrate your coding abilities. You might be asked to solve problems or even write code during the interview. Practise common ML libraries like TensorFlow or PyTorch, and be ready to explain your thought process as you code.
✨Collaboration is Crucial
This role involves working closely with data science and platform engineering teams, so highlight your teamwork experience. Share examples of how you've successfully collaborated on projects in the past, and be ready to discuss how you handle conflicts or differing opinions within a team.
✨Understand the Healthcare Context
Since Onsera Health is focused on transformative healthcare solutions, do some research on current challenges in the healthcare sector. Be prepared to discuss how your skills can contribute to addressing these issues and why you're passionate about using AI in healthcare.