Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop advanced ML models for clinical research using deep learning and computer vision.
- Company: Health-tech software company focused on innovative medical solutions.
- Benefits: Competitive salary, flexible working model, and opportunities to publish research.
- Why this job: Make a real impact in healthcare by working with cutting-edge technology and large datasets.
- Qualifications: Strong experience with PyTorch and a solid understanding of machine learning theory.
- Other info: Hybrid working model with excellent opportunities for career growth and research publication.
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 research on deep learning and computer vision applied to medical data.
Ideal candidates should have strong experience with:
- PyTorch
- Training large models
- A solid understanding of machine learning theory
This position offers a hybrid working model with opportunities to publish research and work with large datasets. Competitive salary with flexibility for exceptional candidates.
Senior ML Scientist: Vision, 3D Imaging & Research (Remote) employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist: Vision, 3D Imaging & Research (Remote)
✨Tip Number 1
Network like a pro! Reach out to professionals in the health-tech and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your work with PyTorch and any deep learning models you've developed. This is your chance to demonstrate your skills and make a lasting impression.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning theory and practical applications. Practice coding challenges and be ready to discuss your past projects in detail—this is where we can really shine!
✨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 our team at StudySmarter.
We think you need these skills to ace Senior ML Scientist: Vision, 3D Imaging & Research (Remote)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with PyTorch and any large models you've trained. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise in deep learning and computer vision!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your background in machine learning theory can contribute to our projects at StudySmarter. A tailored application shows us you’re genuinely interested!
Research is Key: Since this role involves clinical research, it’s a good idea to mention any relevant research experience you have. If you’ve published papers or worked with medical data, let us know! We love candidates who are passionate about advancing health-tech.
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. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at RedTech Recruitment Ltd
✨Know Your ML Theory
Brush up on your machine learning fundamentals, especially deep learning and computer vision concepts. Be ready to discuss how these theories apply to real-world medical data, as this will show your depth of understanding and relevance to the role.
✨Showcase Your PyTorch Skills
Prepare to talk about your experience with PyTorch in detail. Bring examples of projects where you've trained large models, and be ready to explain your approach to optimising performance and handling large datasets.
✨Research and Publish
Since the role involves opportunities to publish research, think about any relevant papers or projects you can discuss. Highlight your contributions to previous research and how they could relate to the company's goals in health-tech.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future directions in ML and health-tech. This shows your genuine interest in the role and helps you assess if the company aligns with your career aspirations.
