Founding Computer Vision Engineer

On site

London, United kingdom

£ 100,000 /year

Full Time

12-05-2025

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Expired

Job Specifications

Salary - £70,000 - £100,000 + Equity
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.

Desirable:
Previous experience working with real-time video.
Knowledge of camera models and calibration.
Start-up or scale-up experience.

About the Company

When it comes to technology talent, Opus Recruitment Solutions are the specialists. We provide the skills needed most to markets at the forefront of change, evolving with the ever-changing needs of our clients to propel their people strategy and build world-class teams to power the future. With a global reach, diverse networks and an established market reputation, we are the partner of choice for organisations looking for flexible and trusted technology talent solutions to achieve long-term success. Our clients work acros... Know more