Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse complex datasets and develop machine learning models for neuromonitoring technology.
- Company: Leading tech company in London with a focus on innovation.
- Benefits: Competitive salary, equity, unlimited holiday allowance, and great work-life balance.
- Why this job: Join a pioneering team and make a real difference in healthcare technology.
- Qualifications: Strong background in data science and proven machine learning experience.
- Other info: Dynamic work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in London is looking for a Senior ML Engineer/Senior Data Scientist to join their innovative team focusing on non-invasive neuromonitoring technology. In this role, you will analyze complex datasets and develop machine learning models to interpret physiological signals.
Ideal candidates will have:
- a strong background in data science,
- excellent communication skills,
- a proven track record in machine learning.
The company offers competitive benefits, including equity and unlimited holiday allowance.
Senior ML Engineer – Neuromonitoring (London) employer: Crane Venture Partners
Contact Detail:
Crane Venture Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer – Neuromonitoring (London)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal introduction can make all the difference in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any relevant work you've done. This is your chance to demonstrate your expertise in analysing complex datasets and developing models.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and communication skills. Be ready to discuss your past experiences and how they relate to neuromonitoring technology. Practice makes perfect!
✨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 – Neuromonitoring (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and data science. We want to see how your skills align with the neuromonitoring technology we're working on, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about non-invasive neuromonitoring and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Communication Skills: Since excellent communication is key for us, make sure your application reflects this. Whether it's through clear language in your CV or a well-structured cover letter, we want to see that you can convey complex ideas simply.
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Crane Venture Partners
✨Know Your ML Models
Make sure you brush up on your machine learning models and algorithms. Be ready to discuss how you've applied them in past projects, especially in relation to analysing complex datasets. The more specific examples you can provide, the better!
✨Understand Neuromonitoring
Familiarise yourself with neuromonitoring technology and its applications. Showing that you understand the nuances of this field will set you apart from other candidates. You might even want to read up on recent advancements or case studies to bring into the conversation.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining complex concepts in simple terms. Think about how you would describe your work to someone without a technical background. This will demonstrate your ability to collaborate effectively within a diverse team.
✨Prepare Questions
Have a few thoughtful questions ready for your interviewers. This shows your genuine interest in the role and the company. Ask about their current projects in neuromonitoring or how they envision the future of machine learning in their technology. It’s a great way to engage and leave a lasting impression!
