Senior Machine Learning Engineer (Video Understanding) in London

• As a Senior Computer Vision/Machine Learning Engineer, you will be responsible for leading the technical discovery and early development of Scandit's new solution - from validating the riskiest assumptions to building and iterating on the first end-to-end prototypes. You will work closely with product, other engineering teams, and external stakeholders to turn real-world video data into robust, privacy-aware computer vision models that can operate in live retail environments
• This role connects 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
• Defining and prioritizing technical experiments to validate key risks (e.g. precision, recall, latency) for computer vision models in retail stores
• Designing and implementing end-to-end CV/ML pipelines on real-world video data, from data ingestion and preprocessing through model training, evaluation, and deployment
• Setting up and refining the human annotation workflow 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 suspicious behavior and action detection in unconstrained environments
• Providing technical leadership in the space of video‑based computer vision applications, helping shape best practices and future hiring for the team

Benefits

• Additional day off on your birthday
• Hybrid working
• Health insurance & pension
• Equity plan

We are looking for a senior computer vision / machine learning engineer who has successfully built and shipped real-world products, ideally involving action recognition on video. You combine deep hands-on technical expertise with a pragmatic, experimental mindset and are comfortable working in a high‑ambiguity, 0->1 product environment. You should enjoy collaborating closely with product and engineering stakeholders, shaping the technical direction, and iterating quickly on ideas to validate the riskiest assumptions

Eligible to work in the hiring location

University degree in Computer Science, Electrical Engineering, Mathematics or a related technical field (advanced degree is a plus but not mandatory)

Significant hands‑on experience in computer vision and machine learning, including designing, training, evaluating and deploying models in production

Ability to collaborate effectively with cross‑functional teams (e.g. product, backend, data, operations) and communicate complex technical topics clearly in English (B2 level or higher)

Proven track record of building end‑to‑end CV/ML systems from 0->1 (ideally commercial products rather than purely academic projects)

Solid software engineering skills (e.g. Python and modern ML/CV frameworks) and experience working with real-world, noisy data

Ability to work in a dynamic, high‑uncertainty environment, prioritize experiments, and iterate quickly on technical approaches

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

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, autonomous stores using computer vision

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