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- Tasks: Develop advanced machine learning models for healthcare imaging and clinical research.
- Company: Health-tech software company focused on innovation and impact.
- Benefits: Competitive salary, remote work flexibility, and opportunities for research publication.
- Why this job: Join a cutting-edge team and contribute to transformative healthcare solutions.
- Qualifications: MSc or PhD in Computer Science with strong Python and computer vision skills.
- Other info: Hybrid role with a dynamic environment and growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A health-tech software company is seeking a Senior Machine Learning Scientist to develop advanced models for clinical research. The role involves creating innovative deep learning solutions and requires strong experience in computer vision, particularly with PyTorch.
Candidates should hold an MSc or PhD in Computer Science and have robust Python skills. This hybrid position allows for remote work, offering a competitive salary and opportunities for research publication.
Remote-First Senior ML Scientist (Healthcare Imaging) in London employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote-First Senior ML Scientist (Healthcare Imaging) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare imaging field on LinkedIn or attend virtual meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your deep learning projects, especially those using PyTorch. 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 computer vision knowledge. Be ready to discuss your past projects and how they relate to clinical research. We want to see your passion and expertise shine through!
✨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 Remote-First Senior ML Scientist (Healthcare Imaging) in London
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your experience in machine learning and computer vision. We want to see how your skills with PyTorch and Python can contribute to our innovative projects in healthcare imaging.
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Senior ML Scientist role. We love seeing how your background aligns with our mission in health-tech.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re the perfect fit for this role and what you can bring to our team.
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!
How to prepare for a job interview at RedTech Recruitment
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially in healthcare imaging. Be ready to discuss your experience with deep learning models and how you've applied them in previous projects. Familiarity with PyTorch is a must, so be prepared to dive into technical discussions about it.
✨Showcase Your Projects
Bring examples of your work that highlight your skills in computer vision and Python. Whether it's a research paper or a project you've developed, having tangible evidence of your expertise will set you apart. Be ready to explain the challenges you faced and how you overcame them.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's current projects and future directions in healthcare imaging. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. It’s also a great way to demonstrate your knowledge of the field.
✨Be Yourself
While technical skills are crucial, don’t forget to let your personality shine through. Companies want to see how you’ll fit into their culture, especially in a remote-first environment. Share your passion for healthcare technology and how you can contribute to their mission.
