Founding Computer Vision Engineer

JR United Kingdom; London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A well-funded start-up in London is seeking a skilled Computer Vision Engineer to join their dynamic Tech Team. This role involves developing production-ready models and enhancing core vision capabilities using cutting-edge AI technologies. The ideal candidate will have strong software engineering skills and experience in deploying ML models at scale. Join us in pushing the boundaries of AI in practical applications.

Qualifications

• 4+ years of experience in Computer Vision and Deep Learning models.
• Experience deploying ML models at scale.

Responsibilities

• Develop and optimize high-performance Computer Vision algorithms.
• Manage the entire AI pipeline from data collection to model deployment.

Skills

Collaboration

Communication

Software Engineering

Tools

Python

PyTorch

TensorFlow

Docker

Kubernetes

AWS

GCP

Azure

Job description

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Founding Computer Vision Engineer, London

Client: Opus Recruitment Solutions

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 16.05.2025

Expiry Date: 30.06.2025

Job Description:

Hybrid - London Office

About the Role:

I'm working with a well-funded start-up seeking a talented Computer Vision Engineer with a robust software engineering background to join our dynamic Tech Team. Reporting to the Engineering Manager / Head of Data, you will be instrumental in developing production-ready models, scaling AI infrastructure, and enhancing our core vision capabilities.

This role offers a unique opportunity to push the boundaries of AI in practical applications, utilizing cutting-edge Computer Vision, Deep Learning, and MLOps technologies.

Key Responsibilities:

• Develop and optimize high-performance Computer Vision and deep learning algorithms for real-time monitoring.
• Implement scalable AI solutions that transition seamlessly from research to production-level software.
• Manage the entire AI pipeline, including data collection, labeling, processing, and model deployment.
• Enhance core vision features such as visual weighing, behavior tracking, and health assessment.
• Optimize model efficiency and inference speed for deployment on edge devices and cloud-based systems.
• Collaborate with engineers and researchers to improve model accuracy, robustness, and interpretability.
• Participate in code reviews, debugging, and validation/testing to ensure high-quality, maintainable code.
• Stay updated with industry trends in AI/ML, deep learning architectures, and MLOps best practices.

About You:

• 4+ years of hands-on experience developing Computer Vision and Deep Learning models in production environments.
• Strong software engineering skills, including clean coding, modular design, and best practices.
• Experience deploying ML models at scale, with knowledge of MLOps, model optimization, and inference acceleration.
• Proficiency in Python and AI/ML frameworks like PyTorch and TensorFlow.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
• Ability to communicate complex AI concepts clearly to both technical and non-technical stakeholders.
• A natural collaborator who enjoys knowledge sharing and supporting team members.
• Previous experience working with real-time video.
• Knowledge of camera models and calibration.