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- Tasks: Design and implement AI solutions for a transformative healthcare platform.
- Company: Mission-driven health tech firm focused on cardiometabolic care.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a team making a real difference in healthcare with cutting-edge technology.
- Qualifications: 5+ years in machine learning or data engineering, strong Python skills, Google Cloud experience.
- Other info: Dynamic work environment with a focus on innovation and impact.
The predicted salary is between 48000 - 72000 £ per year.
A health technology firm is seeking a Senior Machine Learning Engineer to help build the ML and AI foundations of their healthcare platform. You will design and implement an agentic AI platform, define MLOps protocols, and productionize data science code.
The ideal candidate has over 5 years of experience in machine learning engineering or data engineering, strong Python skills, and hands-on experience with Google Cloud Platform.
Join a mission-driven team focused on transforming cardiometabolic care.
Senior ML Engineer — Health AI Platform & Production in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Health AI Platform & Production in London
✨Tip Number 1
Network like a pro! Reach out to folks in the health tech space, especially those working with AI and ML. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Google Cloud Platform. This is your chance to shine and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on MLOps protocols and agentic AI concepts. We want you to feel confident discussing how you can contribute to transforming cardiometabolic care.
✨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 proactive about their job search.
We think you need these skills to ace Senior ML Engineer — Health AI Platform & Production in London
Some tips for your application 🫡
Show Off Your Experience: When you’re writing your application, make sure to highlight your experience in machine learning and data engineering. We want to see those 5+ years of expertise shine through, especially with Python and Google Cloud Platform!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We love seeing how your skills align with our mission to transform cardiometabolic care.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences without unnecessary fluff.
Apply Through Our Website: Make sure to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant frameworks or libraries. Be ready to discuss your past projects in detail, especially those involving machine learning and Google Cloud Platform. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Understand MLOps Protocols
Since the role involves defining MLOps protocols, it’s crucial to have a solid grasp of best practices in deploying machine learning models. Prepare to talk about your experience with version control, CI/CD pipelines, and how you’ve managed model lifecycle in previous roles.
✨Show Your Passion for Health Tech
This is a mission-driven team focused on transforming cardiometabolic care, so make sure to express your enthusiasm for health technology. Share any relevant experiences or insights you have about the healthcare industry and how AI can make a difference.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving common machine learning problems and be ready to explain your thought process. This will demonstrate your analytical skills and ability to tackle real-world issues in the field.
