Senior Machine Learning Engineer (Video Understanding)

Scandit; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Additional day off on your birthday

Hybrid working

Health insurance & pension

Equity plan

Job summary

Scandit is seeking a Senior Computer Vision/Machine Learning Engineer to lead the technical discovery and early development of a new CV/ML solution. You will validate risky assumptions and build end-to-end prototypes using real-world video data from live retail environments, collaborating with product and engineering teams to translate business needs into technical roadmaps.

You will work on cutting-edge CV/ML research with production constraints, shaping best practices while driving experiments

Qualifications

• 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.
• Proven track record of building end-to-end CV/ML systems from 0→1 (commercial products preferred).
• Solid software engineering skills (Python and modern ML/CV frameworks) with real-world, noisy data

Responsibilities

• Lead technical discovery and early development of Scandit's new CV/ML solution from validation to prototypes.
• Define and prioritize technical experiments to validate risks (precision, recall, latency) for CV models in retail stores.
• Design and implement end-to-end CV/ML pipelines from data ingestion to deployment.
• Set up and refine human annotation workflows for training/testing datasets from video streams.
• Collaborate with product managers and engineering leaders to translate business needs into technical roadmaps.
• Select and optimize state-of-the-art CV architectures for action detection in unconstrained environments.
• Provide technical leadership in video-based CV applications and help shape future hiring.

Skills

Computer vision

Machine learning

Python

Communication

Education

University degree in Computer Science, Electrical Engineering, Mathematics or related technical field

Tools

Vision transformers

Job description

• 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