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- Tasks: Analyse time-series datasets and interpret physiological signals for innovative neuromonitoring technology.
- Company: Leading medical tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and excellent health benefits.
- Why this job: Join a multidisciplinary team and make a real impact in healthcare technology.
- Qualifications: Over four years of machine learning experience and strong Python skills.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 48000 - 72000 £ per year.
A medical technology company in Greater London is seeking a Senior Machine Learning Engineer to join a multidisciplinary team focused on developing a non-invasive neuromonitoring technology. You will analyze time-series datasets and play a significant role in interpreting physiological signals for product development.
Candidates should have over four years of experience in machine learning and strong Python skills. The position offers competitive benefits and a hybrid work model.
Senior ML Engineer – Neuro Signal Time-Series Lead in London employer: CoMind
Contact Detail:
CoMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer – Neuro Signal Time-Series Lead in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the medical tech field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those involving time-series data. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and understanding the latest trends in neuromonitoring technology. We want you to shine when it comes to problem-solving!
✨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 Senior ML Engineer – Neuro Signal Time-Series Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and Python. 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 neuromonitoring technology 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, give examples of how you've tackled complex problems in the past. We love seeing candidates who can think critically and apply their knowledge to real-world challenges, especially in time-series analysis.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at CoMind
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals, especially those related to time-series analysis. Be prepared to discuss algorithms you've used in the past and how they apply to interpreting physiological signals.
✨Showcase Your Python Skills
Since strong Python skills are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common ML tasks in Python beforehand.
✨Understand the Product
Research the company's neuromonitoring technology and its applications. Being able to discuss how your experience aligns with their product development goals will show your genuine interest and fit for the role.
✨Prepare Questions
Have insightful questions ready about the team dynamics, project timelines, and the hybrid work model. This not only shows your enthusiasm but also helps you gauge if the company culture is right for you.
