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Scandit is building a new generation of computer vision technology for retail, designed to help retailers increase profit margins through operational insight and automation. As a Senior Machine Learning Engineer specializing in video understanding and action recognition, you will own the technical direction for a 0-to-1 product initiative.
You will lead technical discovery and early development, working closely with product, data, and engineering stakeholders to validate key assumptions and build end-to-end prototypes. Your responsibilities include:
• Defining and prioritizing technical experiments to validate precision, recall, and latency requirements for computer vision models in live retail environments
• Designing and implementing end-to-end CV/ML pipelines on real-world video data, from ingestion and preprocessing through training, evaluation, and deployment
• Setting up and refining human annotation workflows to create high-quality training and test datasets from video streams
• Collaborating with product managers and engineering leaders to clarify requirements, align on milestones, and translate business needs into technical roadmaps
• Selecting, adapting, and optimizing state-of-the-art computer vision architectures for action and behavior detection in unconstrained retail environments
• Providing technical leadership in video-based computer vision applications and helping shape best practices for future team growth
This role bridges cutting-edge CV/ML research with real-world product constraints, requiring both deep technical expertise and a pragmatic, experimental approach to building production-ready systems under ambiguity and time pressure.
REQUIREMENTS:
• University degree in Computer Science, Electrical Engineering, Mathematics, or related technical field (advanced degree a plus)
• Significant hands-on experience in computer vision and machine learning, including designing, training, evaluating, and deploying models in production
• Proven track record of building end-to-end CV/ML systems from 0→1, ideally commercial products rather than purely academic projects
• Strong expertise with video-based pipelines and human action or behavior recognition (e.g., retail, autonomous checkout, or similar domains)
• Hands-on experience with vision transformers for temporal video understanding; experience fine-tuning Vision-Language Models (VLMs) is a strong plus
• Solid software engineering skills (Python and modern ML/CV frameworks) and experience working with real-world, noisy data
• Ability to work in dynamic, high-uncertainty environments, prioritize experiments, and iterate quickly on technical approaches
• Ability to collaborate effectively with cross-functional teams (product, backend, data, operations) and communicate complex technical topics clearly in English (B2 level or higher)
• Eligible to work in the UK
NICE TO HAVE:
• Experience with privacy-aware or GDPR-compliant data pipelines, especially for video data
• Background in building or selecting annotation tools and workflows for computer vision training data
• Prior work on retail or autonomous stores using computer vision
