Computer Vision Engineer Lead

Connect-AI; England; Hybrid; GBP 135,000 - 165,000; Full time

Benefits offered by this job

Equity share options

25 days of annual leave plus bank holidays

Comprehensive private medical coverage

Culture of kindness and trust

Job summary

A leading AI company in London is seeking a Computer Vision Tech Lead to scale their cutting-edge vision AI product. The role involves developing and deploying Computer Vision models while collaborating with cross-functional teams. Candidates should have a PhD in Computer Vision or related fields and solid programming skills in Python with an emphasis on PyTorch or TensorFlow. This hybrid position offers a competitive salary of up to £150k plus equity options and comprehensive benefits.

Qualifications

• Developing and deploying large-scale CV models in production.
• Strong programming skills in Python.
• Deep understanding of modern Computer Vision architectures.

Responsibilities

• Drive model development from initial idea to deployment.
• Own the evolution of in-house LVM efforts.
• Advance synthetic data generation pipeline.
• Work with cross-functional teams to integrate models.

Skills

Python

PyTorch

TensorFlow

Computer Vision

Machine Learning

Education

PhD in Computer Vision or related field

Tools

MLOps tools

Job description

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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.

What you'll do

• 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.

Experience & technical skills

• 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 PyTorch or TensorFlow.
• 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.

How You Work

• 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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