We’re seeking a Staff Computer Vision Engineer to help scale our vision AI product into a high-performing, reliable, production-ready platform. You’ll contribute deep technical expertise, scientific rigor, and a strong product-focused perspective. This role is ideal for someone who thrives on tackling complex challenges, staying deeply engaged in the work, and influencing how a team collaborates and achieves success. Overview Role: Staff Computer Vision Engineer – contribute to the development and deployment of computer vision models for retail environments, with emphasis on accuracy, speed, robustness, and production readiness. Responsibilities

Lead CV Model Development — Design, train, and optimize detection, recognition, segmentation, and tracking models; balance accuracy, speed, and robustness for real-world retail environments. Enhance synthetic data pipelines to improve generalisation and domain adaptation. Advance Large Vision Models (LVM) — Improve performance, scalability, and adaptability of our in-house LVM for diverse retail use cases. Deliver Proven Solutions — Experiment rapidly using PyTorch, validate rigorously, and productionize what works. Contribute to benchmarking and ongoing improvements. Collaborate Across Teams — Work with Product, Infrastructure, and Customer teams to integrate models into workflows. Provide technical leadership aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation.

Qualifications

PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially LVMs and Transformers. Experience with multimodal data (images, video, text) and MLOps workflows. Hands-on, self-directed, evidence-driven, and collaborative, with excellent communication skills for both technical and non-technical audiences.

Details

Seniority level — Director Employment type — Full-time Job function — IT Services and IT Consulting and Retail

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants. London, England, United Kingdom #J-18808-Ljbffr