Applied Computer Vision Engineer

About the Role

I'm working with an SME in the technology sector looking to bolster their Computer Vision team of 4 specialists. It's a hands-on engineering role focused on deploying vision systems in real-world environments, dealing with exogenous factors such as lighting, weather, occlusion, low data availability and adverse conditions.

For this role, I'd love to speak to candidates used to dealing with messy and challenging data-driven environments who can accurately work to overcome the myriad issues that come with having models in the field.

Responsibilities

• Developing and optimising deep learning models for detection, classification and segmentation
• Working in environments such as the above and the constraints that they bring
• Working within a tight-knit team and swarming particular client issues to solutions
• Looking at model performance analysis and improving things like latency and accuracy over time

Requirements

• Strong Python skills
• Experience with PyTorch
• A good understanding of CNNs, object detection / tracking and segmentation
• Experience of working within applied areas where safety-critical environments are the norm - robotics, EV, defence etc.
• Familiarity with standard pipelines and tools (cloud, CI/CD, Docker)

Given the nature of the role, candidates must be eligible for security clearance and the role cannot offer visa sponsorship.