At a Glance
- Tasks: Develop innovative signal processing models for clinical applications and analyse complex time-series datasets.
- Company: Pioneering tech company in London with a focus on improving brain disorder diagnosis.
- Benefits: Flexible work environment and competitive benefits to support your lifestyle.
- Why this job: Make a real impact on healthcare while working with cutting-edge machine learning technology.
- Qualifications: Over 4 years of experience in machine learning and understanding of digital signal processing.
- Other info: Collaborate with experts to translate clinical needs into robust workflows.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering tech company in London is seeking a Senior Machine Learning Engineer to develop innovative signal processing models for clinical applications. You will analyze complex time-series datasets and work closely with experts to translate clinical needs into robust workflows. The ideal candidate has over 4 years of experience with machine learning and a solid understanding of digital signal processing. Join us to improve brain disorder diagnosis and treatment while enjoying a flexible work environment and competitive benefits.
Senior ML Engineer: Neuro Time‐Series & Signals in London employer: Comind Technologies
Contact Detail:
Comind Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Neuro Time‐Series & Signals in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and signal processing. Attend meetups or webinars, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects related to time-series analysis and digital signal processing. This will give potential employers a taste of what you can bring to the table, especially in clinical applications.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ML algorithms and signal processing techniques. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine during those interviews!
✨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 genuinely interested in joining our mission to improve brain disorder diagnosis and treatment.
We think you need these skills to ace Senior ML Engineer: Neuro Time‐Series & Signals in London
Some tips for your application 🫡
Showcase Your Experience: Make sure to highlight your 4+ years of experience in machine learning. We want to see how you've tackled complex datasets and what innovative solutions you've developed in the past.
Tailor Your Application: Don’t just send a generic CV! We love it when candidates tailor their applications to our specific needs. Mention your understanding of digital signal processing and how it relates to clinical applications.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured information that makes it easy for us to see your qualifications and fit for the role.
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 this exciting opportunity!
How to prepare for a job interview at Comind Technologies
✨Know Your ML Fundamentals
Make sure you brush up on your machine learning fundamentals, especially those related to signal processing. Be prepared to discuss your past projects and how you've applied ML techniques to real-world problems, particularly in clinical settings.
✨Understand the Clinical Context
Familiarise yourself with the clinical applications of your work. Research common brain disorders and how signal processing can aid in their diagnosis and treatment. This will show your potential employer that you’re not just technically skilled but also understand the impact of your work.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of time-series analysis and digital signal processing. Practice explaining complex concepts in simple terms, as you may need to communicate these ideas to non-technical stakeholders.
✨Showcase Collaboration Skills
Since you'll be working closely with experts, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated in the past, especially in cross-functional teams, to demonstrate your ability to translate clinical needs into actionable workflows.