Technical Lead – Signal Processing | Wearable Devices in Neurology
Location: Remote (UK or EU-based preferred)
Type: Permanent or Contract-to-Perm
Backed by world class investors and academic institutions, they are building clinically validated solutions at the intersection of hardware innovation, AI, and human centred design.
The team is now looking for a Technical Lead – Signal Processing to take ownership of bio signal interpretation within the product. Lead the design and development of signal processing algorithms for real time brain monitoring via EEG and related bio signals.
Drive the technical strategy for transforming raw neurophysiological data into meaningful clinical and user facing insights.
Collaborate closely with cross functional teams including AI/ML, embedded firmware, hardware, and clinical research to ensure cohesive system integration.
Define and enforce best practices around data quality, filtering, feature extraction, and signal classification in both R&D and production environments.
Support clinical trials by advising on signal fidelity, data labelling, and performance metrics.
Provide technical leadership and mentoring to junior engineers across the signal and embedded software teams.
Contribute to publications, patents, and regulatory submissions as required.
5+ years of experience in signal processing, ideally within wearables, medical devices, neurotechnology, or biomedical engineering.
~ Proven experience building signal pipelines in Python, MATLAB, or embedded C/C++ environments.
~ Familiarity with digital signal processing techniques (filter design, noise reduction, spectral analysis).
~ Experience working within or adjacent to regulated medical environments (e.g. ISO 13485, MDR) is a bonus.
~ Following your application, Mark Njiriri, a specialist AI and MedTech recruiter, will reach out to discuss the opportunity in more detail.