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- Tasks: Lead algorithm development for analysing complex physiological data from neuromonitoring technology.
- Company: Health tech company in London focused on innovative solutions.
- Benefits: Flexible work environment, health insurance, unlimited holiday allowance, and professional development opportunities.
- Why this job: Make a real impact in healthcare by enhancing product development and clinical decision-making.
- Qualifications: Experience in machine learning and strong collaboration skills.
The predicted salary is between 36000 - 60000 £ per year.
A health technology company in London seeks a Senior Machine Learning Engineer. In this role, you will lead algorithm development for analyzing complex physiological data derived from neuromonitoring technology. You will collaborate with various experts to enhance product development and clinical decision-making.
The position offers a flexible work environment, full-time commitment, and opportunities for professional development, alongside generous perks like health insurance and unlimited holiday allowance.
Senior ML Engineer — Neurosignal Time-Series AI in London employer: CoMind
Contact Detail:
CoMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Neurosignal Time-Series AI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the health tech and machine learning fields. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the industry. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to neuromonitoring or time-series analysis. 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 technical knowledge and soft skills. Practice common ML engineering questions and think about how you can demonstrate your collaborative spirit, as teamwork is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to show your enthusiasm for joining our team at StudySmarter.
We think you need these skills to ace Senior ML Engineer — Neurosignal Time-Series AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and algorithm development. We want to see how your skills align with the role, so don’t be shy about showcasing your 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 you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any interesting projects related to time-series data or physiological analysis, make sure to mention them. We’re keen to see practical examples of your work that demonstrate your expertise and creativity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at CoMind
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms, especially those relevant to time-series data. Be ready to discuss how you've applied these in past projects, as this will show your expertise and ability to lead algorithm development.
✨Understand the Product
Familiarise yourself with the company's neuromonitoring technology and its applications in health tech. This will help you articulate how your skills can enhance product development and clinical decision-making during the interview.
✨Collaborative Mindset
Since the role involves working with various experts, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to achieve project goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision for their AI products and how they integrate machine learning into their processes. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
