Computer Vision Engineer Lead

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Computer Vision Tech Lead

Location:
London (hybrid)

• An open salary structure offering a competitive salary of up to £150k per year.
• You'll be offered equity share options, allowing you to partake in the value you help build.
• Hybrid-first approach based out of our vibrant central London.
• A generous 25 days of annual leave plus bank holidays.
• Comprehensive private medical coverage, including dental, optical, and travel insurance, prioritising both physical and mental health.
• A culture of kindness, openness, and trust where every voice matters.

About the role

I'm currently partnered with an exciting Computer Vision AI company that is building the future of real-time retail execution. Their mission is to solve tough, real-world problems in retail by providing immediate, scalable, and accurate in-store visibility through their proprietary platform.

This platform is powered by a Computer Vision engine that creatively leverages synthetic data, large vision models, and smart pipelines. They are now looking for a Computer Vision Tech Lead to take a pivotal role in scaling their vision AI product. We need a hands-on leader with deep technical experience, scientific rigor, and a product‑aware mindset to turn complex vision problems into practical, scalable solutions.

• Drive model development from the initial idea through to deployment. You will lead the design, training, and optimisation of Computer Vision models for detection, recognition, segmentation, and tracking tasks.
• Own the evolution of our in‑house LVM efforts, shaping it into a best‑in‑class system by improving its performance, reliability, and scalability. This includes designing and deploying a highly generalisable LVM tailored for retail.
• Advance our synthetic data generation pipeline, focusing on scaling diversity, improving generalisation, and applying domain adaptation strategies to boost model robustness.
• Work with Product, Infrastructure, and Customer teams to deliver models that integrate seamlessly into field workflows. You will align technical direction with business goals through technical leadership - without any line management responsibilities.
• Champion practical engineering and good data practices, ensuring clean, reliable, and well‑managed data is at the heart of all model development. Use PyTorch (or similar frameworks) for rigorous, fast experimentation.

• PhD or equivalent experience in Computer Vision, Machine Learning, or a related field.
• Proven track record developing and deploying large‑scale CV models in production.
• Strong programming skills in Python, with hands‑on experience in Py Torch or Tensor Flow.
• Deep understanding of modern Computer Vision architectures, huge vision models and Transformers.
• Experience with MLOps tools and workflows is required.
• Desirable: Experience with multimodal data (images, video, text) is highly desirable.

• You are hands‑on and self‑directed with a strong sense of ownership.
• You think clearly, test quickly, and iterate based on evidence, not instinct.
• You communicate technical findings clearly to both technical and non‑technical stakeholders.

Interested in being central to how a fast‑moving, high‑growth platform evolves globally?

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