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.