Computer Vision Engineer
Harnham
Senior Computer Vision Engineer (2D or 3D - Clinical AI) About the Company The mission is simple but ambitious: democratize access to high?quality cardiac care , especially in regions where cardiologists and advanced imaging equipment are scarce.
About the Role This is a hands-on applied engineering position focused on building and deploying real clinical AI , not academic experiments. You will own production imaging models end?to?end, ensure reliability across diverse clinical settings, and work closely with clinical, regulatory, and deployment teams. Profile A -
What You Will Own Computer Vision Development
About the Role This is a hands-on applied engineering position focused on building and deploying real clinical AI , not academic experiments. You will own production imaging models end?to?end, ensure reliability across diverse clinical settings, and work closely with clinical, regulatory, and deployment teams. Profile A -
- Segmentation
- Localization
- Ultrasound/Echo image processing
- Signal and noise?robust imaging pipelines
- Volumetric reconstruction
- 3D geometry and physics-informed modeling
- Computational representations of cardiac structures
What You Will Own Computer Vision Development
- Build production-grade CV models used in live cardiac workflows
- Develop 2D segmentation, 3D/4D reconstruction, and mathematical modeling systems
- Optimize models for low?latency clinical deployment
- Debug imaging pipelines across noisy, highly variable datasets
- Own pipelines from prototype ? production
- Support deployment engineers with real?world constraints
- Maintain model reliability across multiple international regions
- Monitor drift, performance degradation, and operational issues
- Strong experience in Computer Vision (2D and/or 3D)
- Production ML experience-beyond research or academic prototypes
- Background in biomedical or clinical imaging (ultrasound strongly preferred)
- Ability to debug, iterate, and deliver under pressure
- Experience working with deployment or ops engineering teams
- Comfort writing regulatory?oriented technical documentation
- Strong Python + PyTorch skills
- Startup mindset - bias for action, adaptability, ownership
Vacancy posted 4 days ago
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