At a Glance
- Tasks: Develop machine learning models to interpret physiological signals and collaborate with experts.
- Company: Leading neuromonitoring technology firm in Greater London.
- Benefits: Equity plan, comprehensive health insurance, and unlimited holiday allowance.
- Why this job: Join a pioneering team and make a difference in medical technology.
- Qualifications: Strong background in machine learning, signal processing, and fluent in Python.
- Other info: Exciting opportunity for growth in a cutting-edge field.
The predicted salary is between 48000 - 72000 £ per year.
A leading neuromonitoring technology firm in Greater London is seeking a Senior ML Engineer. You will develop machine learning models to interpret physiological signals and collaborate with a team of experts. The ideal candidate has a strong background in machine learning and signal processing, fluent in Python, with excellent communication skills.
Benefits include:
- Equity plan
- Comprehensive health insurance
- Unlimited holiday allowance
Senior ML Engineer — Neuro Signals & Medical Tech in London employer: CoMind Technologies Limited.
Contact Detail:
CoMind Technologies Limited. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Neuro Signals & Medical Tech in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the neuromonitoring and medical tech fields on LinkedIn. A friendly message can go a long way, and you never know who might have an inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to physiological signals. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and understanding the latest trends in signal processing. We recommend practising common ML interview questions and even doing mock interviews with friends or mentors.
✨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 Signals & Medical Tech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and signal processing. 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 Python Skills: Since fluency in Python is key for this role, make sure to mention any specific projects or experiences where you've used Python effectively. We love seeing practical examples of your coding prowess!
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 from our team!
How to prepare for a job interview at CoMind Technologies Limited.
✨Know Your ML Models Inside Out
Make sure you can discuss various machine learning models and their applications in detail. Be prepared to explain how you've used them in past projects, especially in relation to interpreting physiological signals.
✨Brush Up on Signal Processing
Since the role involves working with physiological signals, review key concepts in signal processing. Be ready to discuss techniques you've employed and how they relate to machine learning in a medical context.
✨Showcase Your Python Skills
Fluency in Python is crucial for this position. Bring examples of your code or projects that demonstrate your programming skills, particularly in developing ML models. If possible, prepare to solve a coding challenge during the interview.
✨Communicate Clearly and Confidently
Excellent communication skills are essential. Practice explaining complex technical concepts in simple terms, as you'll need to collaborate with a diverse team. Remember, it's not just about what you know, but how you convey it!