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- Tasks: Develop and deploy advanced machine learning models for clinical research.
- Company: Leading health-tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and flexibility.
- Why this job: Join a mission-driven team making a real difference in healthcare through technology.
- Qualifications: Strong expertise in machine learning, Python, and PyTorch required.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 70000 - 90000 £ per year.
A health-tech company in Greater London is seeking a Senior or Principal Machine Learning Engineer. This role focuses on developing and deploying advanced machine learning models for clinical research.
Candidates should have strong expertise in:
- Machine learning engineering
- Python
- PyTorch
The position offers a hybrid working model, balancing one day in the office with flexibility for the right candidate, along with a competitive salary between £70,000 and £90,000.
Principal ML Engineer – Production-Scale Health Tech employer: RedTech Recruitment Ltd.
Contact Detail:
RedTech Recruitment Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal ML Engineer – Production-Scale Health Tech
✨Tip Number 1
Network like a pro! Reach out to folks in the health tech space, especially those working with machine learning. A friendly chat can open doors and give you insights that might just land you that Principal ML Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best machine learning projects, especially those using Python and PyTorch. When you get the chance to chat with potential employers, let your work do the talking.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your ML concepts and coding skills. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who are proactive about their job search. Don’t miss out on the chance to join our innovative team!
We think you need these skills to ace Principal ML Engineer – Production-Scale Health Tech
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning engineering, Python, and PyTorch. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 expertise can contribute to our mission. Keep it engaging and personal – we love getting to know our candidates!
Showcase Your Projects: If you've worked on any advanced machine learning models or clinical research projects, make sure to mention them. We’re keen to see real-world applications of your skills, so include links or descriptions of your work where possible.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at RedTech Recruitment Ltd.
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked on in detail. Be prepared to explain your thought process, the challenges you faced, and how you overcame them. This shows your depth of knowledge and practical experience.
✨Showcase Your Python and PyTorch Skills
Brush up on your Python and PyTorch skills before the interview. You might be asked to solve a coding problem or discuss specific libraries and frameworks. Practising common algorithms and their implementations can give you an edge.
✨Understand the Health Tech Landscape
Familiarise yourself with current trends and challenges in health tech, especially related to clinical research. Being able to discuss how machine learning can impact this field will demonstrate your genuine interest and understanding of the role.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask your interviewers. This could be about their current projects, team dynamics, or future goals. It shows that you're engaged and serious about the opportunity, plus it helps you assess if the company is the right fit for you.
