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- Tasks: Develop impactful healthcare solutions using wearable data and machine learning.
- Company: Join a pioneering company revolutionising healthcare with innovative wearable technology.
- Benefits: Enjoy a permanent contract with opportunities to shape the future of digital health.
- Why this job: Make a real difference in healthcare while working with cutting-edge technology and a passionate team.
- Qualifications: MS or PhD in relevant fields with 3-5+ years of experience in machine learning.
- Other info: Proficiency in Python and familiarity with FDA regulations are essential.
The predicted salary is between 36000 - 60000 £ per year.
Our client is revolutionising healthcare for millions of patients worldwide, combining over two decades of proprietary wearable technology with clinically relevant signals. They are seeking a Machine Learning Engineer with a passion for developing impactful healthcare solutions using wearable data. This high-impact role offers the opportunity to shape the future of digital health and bring clinically validated, regulatory-ready ML solutions to market.
The ideal candidate for this position brings a wealth of experience in applying machine learning to time-series or physiological data. With a strong foundation in signal processing and time-series modelling, you are proficient in Python and familiar with ML frameworks such as PyTorch or TensorFlow. Your understanding of FDA regulatory pathways for medical software will be crucial in this role. Experience with MLOps practices and model versioning in compliant environments will also be highly beneficial.
Minimum Requirements:
- MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or a related field.
- 3–5+ years of experience applying machine learning to time-series or physiological data.
- Strong foundation in signal processing and time-series modelling.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
- Familiarity with FDA regulatory pathways for medical software and standards like IEC 62304 or ISO 13485.
- Experience with MLOps practices and model versioning in compliant environments.
About the Job:
Contract Type: Permanent
Machine Learning Engineer - Signal Processing employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Signal Processing
✨Tip Number 1
Network with professionals in the healthcare technology sector. Attend industry conferences or webinars focused on machine learning and signal processing to meet potential colleagues and learn about the latest trends.
✨Tip Number 2
Showcase your projects related to time-series data and signal processing on platforms like GitHub. This not only demonstrates your technical skills but also your passion for developing impactful solutions in healthcare.
✨Tip Number 3
Familiarise yourself with FDA regulatory pathways and standards relevant to medical software. Understanding these regulations will set you apart as a candidate who is ready to navigate compliance in your role.
✨Tip Number 4
Engage with online communities or forums that focus on MLOps practices. Sharing insights and learning from others can enhance your knowledge and demonstrate your commitment to best practices in model versioning.
We think you need these skills to ace Machine Learning Engineer - Signal Processing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning, particularly in relation to time-series and physiological data. Emphasise your proficiency in Python and any relevant ML frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your passion for healthcare solutions and how your background aligns with the company's mission. Mention specific projects where you've applied signal processing and time-series modelling.
Highlight Regulatory Knowledge: Since familiarity with FDA regulatory pathways is crucial, include any relevant experience you have with medical software standards such as IEC 62304 or ISO 13485. This will demonstrate your understanding of compliance in the healthcare sector.
Showcase MLOps Experience: If you have experience with MLOps practices and model versioning, make sure to detail this in your application. Highlight any specific tools or processes you've used that align with compliant environments.
How to prepare for a job interview at Robert Walters UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and ML frameworks like PyTorch or TensorFlow. Bring examples of projects where you've applied machine learning to time-series or physiological data, as this will demonstrate your technical proficiency.
✨Understand Regulatory Pathways
Familiarise yourself with FDA regulatory pathways for medical software and standards such as IEC 62304 or ISO 13485. Being able to articulate how these regulations impact your work will show that you are not only technically skilled but also aware of the compliance aspects in healthcare.
✨Discuss MLOps Practices
Highlight your experience with MLOps practices and model versioning in compliant environments. Be ready to explain how you ensure that your models are maintainable and scalable, which is crucial in a healthcare setting.
✨Prepare for Behavioural Questions
Expect questions about teamwork and problem-solving, especially in high-stakes environments like healthcare. Prepare examples that showcase your ability to collaborate effectively and tackle challenges, as this role will require working closely with cross-functional teams.
