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- Tasks: Design and implement advanced machine learning models for health-tech applications.
- Company: Fast-growing health-tech company revolutionising clinical research.
- Benefits: Attractive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team making a real difference in healthcare through innovative technology.
- Qualifications: Strong background in machine learning and experience with 3D imaging data.
- Other info: Collaborative environment with a focus on cutting-edge engineering solutions.
The predicted salary is between 43200 - 72000 £ per year.
A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data. This role is highly engineering-focused, sitting between...
Senior Machine Learning Engineer in England employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the health-tech and machine learning space 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 involving machine learning and computer vision. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and ML concepts. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Machine Learning Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity at StudySmarter and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems in ML or engineering. We love seeing how you approach challenges, especially in the context of clinical research and drug development.
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 to do!
How to prepare for a job interview at RedTech Recruitment Ltd
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially around algorithms and models relevant to clinical research. Be prepared to discuss how you’ve applied these concepts in real-world scenarios, particularly in developing production-grade systems.
✨Showcase Your Engineering Skills
Since this role is highly engineering-focused, be ready to demonstrate your coding skills. Bring examples of your previous work with large-scale ML systems and be prepared to solve a coding challenge during the interview.
✨Understand the Health-Tech Landscape
Familiarise yourself with the health-tech industry and current trends in clinical research and drug development. This will help you articulate how your experience aligns with the company’s goals and the specific challenges they face.
✨Prepare Questions for Them
Have insightful questions ready about their current projects, team dynamics, and future goals. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
