Technical Lead - Computer Vision, ML, Deep Learning

December 22, 2022

🏡 Remote – Anywhere in the UK

C++

Deep Learning

OpenCV

Pyth

Python

Tensorflow

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Description

• Develop a scalable and extendable product which is utilised with the pilots we have with global restaurant chains. • Drive a specific agenda in a self-powered environment with autonomy, along with other brilliant members of the team, all passionate to make an impact. • Define procedure to implement, test and maintain machine learning methods through best practices and observability tools. • Discuss and guide the team on training, analysing and reporting model performance. • Define and evaluate tools for further automating research and analysis. • Push the boundaries of current methods by following and building upon the latest research in the context of object detection, classification and semantic segmentation, and propose new methods.

Requirements

• Experience with one or more Deep Learning Frameworks (Pytorch, Tensorflow) • Solid hands-on software development skills in Python (NumPy, SciPy, OpenCV, scikit-learn) and familiarity with C++ • Solid theoretical understanding of machine learning and neural networks • Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet) • Experience with tooling around running, managing and reporting on experiments (Neptune, WandB, MLflow) • Experience with delivering high-quality products based on industry-focused projects • Experience with one or more customer projects • Strong experience with AI and machine learning • Experience with product delivery and customer service • Proven experience with product development and customer service

Benefits

• Competitive salary • Strong equity • Flexible-working • Unlimited fresh fruit, tea, coffee and healthy snacks provided • Paid maternity, paternity, adoption or shared parental leave • PensionWe believe that our benefits are the best in the industry. • Here are a few examples: • Competitive salary • Strong equity • Flexible-working • Unlimited fresh fruit, tea, coffee and healthy snacks provided • Paid maternity, paternity, adoption or shared parental leave • Pension

Apply Now
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