Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement algorithms to transform brain signals into clinical insights.
- Company: Pioneering MedTech company in Greater London with a focus on innovation.
- Benefits: Flexible work arrangements, comprehensive health insurance, and an equity plan.
- Why this job: Lead cutting-edge ML projects that make a real difference in healthcare.
- Qualifications: Deep ML knowledge and production experience required.
- Other info: Collaborate with a multidisciplinary team in a dynamic environment.
The predicted salary is between 60000 - 80000 £ per year.
A pioneering medical tech company in Greater London seeks an experienced Machine Learning Engineer to design and implement algorithms that turn optical brain signals into clinical insights. The successful candidate will lead end-to-end ML workstreams, develop training pipelines, and collaborate with a multidisciplinary team. Deep ML knowledge and production experience are essential.
The role offers flexible work arrangements and several benefits, including comprehensive health insurance and an equity plan.
Senior ML Engineer — Production Time-Series in MedTech in London employer: CoMind
Contact Detail:
CoMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer — Production Time-Series in MedTech in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the MedTech field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Senior ML Engineer role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past projects, especially those involving time-series data and ML algorithms. We want to see your work in action, so make it easy for potential employers to understand your expertise.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML knowledge and production experience. We recommend practicing common ML problems and being ready to discuss your approach to designing algorithms and training pipelines.
✨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 — Production Time-Series in MedTech in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and any relevant projects you've worked on. 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 MedTech and how your expertise can contribute to our mission. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Since this role requires deep ML knowledge, make sure to mention specific algorithms or technologies you’ve worked with. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at CoMind
✨Know Your ML Stuff
Make sure you brush up on your machine learning algorithms and production experience. Be ready to discuss specific projects where you've designed and implemented ML solutions, especially in time-series analysis. This will show that you have the deep knowledge they’re looking for.
✨Showcase Collaboration Skills
Since this role involves working with a multidisciplinary team, be prepared to share examples of how you've successfully collaborated with others in the past. Highlight any experiences where you’ve worked alongside data scientists, clinicians, or engineers to achieve a common goal.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining complex concepts in simple terms, as you might need to communicate your ideas to non-technical team members. Consider doing mock interviews to get comfortable with this.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about their current projects, the technologies they use, or how they measure success in their ML initiatives. This demonstrates your enthusiasm and helps you gauge if it’s the right fit for you.