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- Tasks: Lead teams to develop AI solutions for ultrasound products and translate customer needs.
- Company: A leading global healthcare company focused on innovation and patient value.
- Benefits: Competitive salary, supportive environment, and opportunities for professional growth.
- Why this job: Make a real difference in healthcare by developing cutting-edge ML models.
- Qualifications: Proficiency in Python and experience in machine learning required.
- Other info: Join a diverse team committed to enhancing healthcare solutions.
The predicted salary is between 48000 - 72000 £ per year.
A leading global healthcare company is seeking a Machine Learning Engineer to develop AI solutions for ultrasound products. The ideal candidate will lead teams, translate customer requirements, and develop ML models for clinical use cases. Proficiency in Python and experience in machine learning is essential. Join a team committed to innovation and enhancing value for customers and patients while working in a supportive and diverse environment.
ML Engineer Lead – Medical Imaging & Ultrasound in London employer: GE Healthcare
Contact Detail:
GE Healthcare Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer Lead – Medical Imaging & Ultrasound in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare and AI sectors on LinkedIn. Join relevant groups and engage in discussions to showcase your expertise and passion for machine learning.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and ML concepts. We recommend working on real-world projects or contributing to open-source initiatives to demonstrate your capabilities.
✨Tip Number 3
Don’t just apply; follow up! After submitting your application through our website, send a polite email to express your enthusiasm for the role. It shows initiative and keeps you on their radar.
✨Tip Number 4
Showcase your leadership skills! Prepare examples of how you've led teams or projects in the past. Highlighting your ability to translate customer requirements into actionable ML solutions will set you apart.
We think you need these skills to ace ML Engineer Lead – Medical Imaging & Ultrasound in London
Some tips for your application 🫡
Showcase Your Skills: Make sure to highlight your proficiency in Python and any relevant machine learning experience. We want to see how your skills align with the role of developing AI solutions for ultrasound products.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experience meets the specific requirements mentioned in the job description. It shows us you’re genuinely interested.
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 experiences without wading through unnecessary fluff.
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’s super easy!
How to prepare for a job interview at GE Healthcare
✨Know Your ML Models
Brush up on your machine learning models, especially those relevant to medical imaging and ultrasound. Be ready to discuss how you've applied these models in past projects and how they can be tailored to meet customer needs.
✨Showcase Leadership Skills
As a lead, you'll need to demonstrate your ability to guide teams effectively. Prepare examples of how you've led projects or teams in the past, focusing on your communication style and how you handle challenges.
✨Understand Customer Requirements
Familiarise yourself with common customer requirements in the healthcare sector. Think about how you would translate these needs into technical specifications for ML solutions, and be prepared to discuss this during the interview.
✨Demonstrate Your Python Proficiency
Since proficiency in Python is essential, be ready to showcase your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and data manipulation.
