Engineering Manager jobs in South Africa

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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

Hybrid - London Office

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.

• 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.

• 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.