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- Tasks: Develop advanced machine learning models for clinical research and translate academic research into applied solutions.
- Company: Health-tech software company based in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and exposure to large datasets.
- Why this job: Make a real impact in health tech while collaborating on cutting-edge projects.
- Qualifications: Strong experience in computer vision, deep learning in PyTorch, and relevant master's or PhD.
The predicted salary is between 48000 - 72000 £ per year.
A health-tech software company in Greater London is seeking a Senior Machine Learning Scientist to develop advanced machine learning models for clinical research. The role involves translating academic research into applied solutions, with the opportunity to publish work and collaborate on high-performance compute tasks.
Candidates should have strong experience in computer vision, deep learning in PyTorch, and a relevant master's or PhD.
Benefits include a competitive salary, hybrid working model, and exposure to large datasets.
Remote-First Senior ML Scientist: Computer Vision in HealthTech 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: Computer Vision in HealthTech
✨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.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to computer vision and deep learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with PyTorch and how you've applied machine learning in real-world scenarios.
✨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: Computer Vision in HealthTech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in computer vision and deep learning, especially with PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about health-tech and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Research Experience: Since this role involves translating academic research into applied solutions, make sure to highlight any relevant publications or projects. We’re keen to see how you can bring your academic insights into practical applications.
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 gives you a chance to explore more about what we do!
How to prepare for a job interview at RedTech Recruitment
✨Know Your Stuff
Make sure you brush up on your computer vision and deep learning concepts, especially in PyTorch. Be ready to discuss specific projects you've worked on and how they relate to the role. This will show that you can translate academic research into practical applications.
✨Showcase Your Research
If you've published any work or contributed to significant projects, be prepared to talk about them. Highlight how your research can benefit the company and its goals in health-tech. This demonstrates your ability to contribute to their mission right from the start.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of machine learning models and algorithms. Practise explaining complex concepts in simple terms, as this will help you communicate effectively with both technical and non-technical team members.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's projects, team dynamics, or future directions in health-tech. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
