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- Tasks: Develop real-time ML algorithms for wearable biosignal analysis in a fully remote role.
- Company: Join a cutting-edge American HealthTech startup with $200m funding, focused on digital health solutions.
- Benefits: Enjoy the flexibility of remote work and be part of an innovative team shaping healthcare technology.
- Why this job: Make a real impact in health tech while collaborating with diverse teams in a dynamic environment.
- Qualifications: MS or PhD in relevant fields with 3-5+ years of experience in ML and time-series data.
- Other info: Work with clinical-grade standards and contribute to regulatory submissions in a fast-paced startup.
The predicted salary is between 48000 - 84000 £ per year.
Remote ML Engineer-American Series C Wearable Medical Device
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About the Company:* American Series C HealthTech start up in revenue stage* $200m funding (recent funding is Feb 2025).* Fully remote within the UKRole:Seeking a ML Engineer to develop real-time, regulatory-compliant ML algorithms analysing continuous wearable biosignals (ECG, PPG, accelerometer) for validated digital health solutions.
Key Responsibilities
Design and implement ML models for real-time wearable biosignal analysis.
Develop algorithms meeting clinical-grade standards in regulated environments.
Reprocess and manage large-scale continuous time-series data.
Collaborate with clinical, product, and regulatory teams to ensure compliance with medical device regulations and GMLP.
Optimise algorithms for edge, mobile, and embedded deployment.
Validate models using sensitivity, specificity, ROC-AUC, and precision-recall metrics.
Support technical documentation and regulatory submissions.
Qualifications
MS or PhD in Machine Learning, Biomedical Engineering, Computer Science, or related field.
3–5+ years’ experience with ML on time-series or physiological data.
Expertise in signal processing and time-series modelling (deep learning, classical ML, anomaly detection).
Proficient in Python and ML frameworks like PyTorch or TensorFlow.
Familiarity with FDA regulatory pathways (510(k), De Novo) and standards (IEC 62304, ISO 13485).
Experience with MLOps and model visioning in regulated settings.
Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
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Remote ML Engineer-American Series C Wearable Medical Device employer: Robert Walters UK
Contact Detail:
Robert Walters UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote ML Engineer-American Series C Wearable Medical Device
✨Tip Number 1
Familiarise yourself with the specific regulatory standards mentioned in the job description, such as IEC 62304 and ISO 13485. Understanding these regulations will not only help you in interviews but also demonstrate your commitment to compliance in medical device development.
✨Tip Number 2
Showcase your experience with time-series data and signal processing by preparing examples of past projects. Be ready to discuss how you approached challenges in real-time data analysis and the impact of your solutions on previous projects.
✨Tip Number 3
Network with professionals in the health tech industry, especially those who have experience with wearable devices. Engaging in relevant online communities or attending virtual meetups can provide insights and connections that may lead to referrals.
✨Tip Number 4
Prepare to discuss your familiarity with MLOps practices. Highlight any experience you have with model deployment and monitoring in regulated environments, as this is crucial for the role and will set you apart from other candidates.
We think you need these skills to ace Remote ML Engineer-American Series C Wearable Medical Device
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Remote ML Engineer position. Familiarise yourself with the specific technologies and methodologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in machine learning, particularly with time-series data and wearable biosignals. Emphasise your proficiency in Python and any experience with frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Write a cover letter that connects your background and skills to the specific needs of the company. Mention your understanding of regulatory compliance in medical devices and how your experience aligns with their goals.
Highlight Relevant Projects: In your application, include specific projects or experiences that demonstrate your expertise in signal processing, model validation, and collaboration with cross-functional teams. Use metrics to showcase your impact where possible.
How to prepare for a job interview at Robert Walters UK
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ML algorithms, especially in the context of time-series data. Highlight specific projects where you've developed models for wearable biosignals and be ready to explain your approach to signal processing.
✨Understand Regulatory Standards
Familiarise yourself with FDA regulatory pathways and standards relevant to medical devices. Demonstrating knowledge of compliance requirements will show that you can navigate the complexities of developing clinical-grade solutions.
✨Prepare for Collaborative Scenarios
Since the role involves working with clinical, product, and regulatory teams, think of examples where you've successfully collaborated across disciplines. Be ready to discuss how you ensure alignment and compliance in your projects.
✨Discuss MLOps Experience
If you have experience with MLOps, make sure to highlight it. Talk about how you've managed model deployment and monitoring in regulated environments, as this is crucial for the role.
