Mid Machine Learning Engineer · AI / Computer Vision

Surveily is a start-up dedicated to transforming workplace health and safety standards globally through advanced computer vision and real-time data. We are seeking a Machine Learning Engineer to join our team and contribute to the full lifecycle of ML development, from initial concept and data preparation to production deployment and continuous model improvement.

Key responsibilities

• Design and deliver production-ready computer vision features from concept to deployment.
• Manage the complete ML lifecycle, including data collection, annotation strategy, experimentation, and model monitoring.
• Develop robust Python tooling and shared libraries to enhance team productivity.
• Write reliable, maintainable, and well-tested production code.
• Collaborate with stakeholders to translate business requirements into practical machine learning solutions.

Requirements

• 3-5 years of commercial experience building machine learning systems.
• Strong understanding of ML fundamentals, including supervised/unsupervised learning, probability, statistics, and linear algebra.
• Proficiency in Python with a focus on clean, testable code and performance optimization.
• Experience developing deep learning models using PyTorch.
• Ability to independently own technical problems from definition through to production delivery.

What we offer

• Direct collaboration with company founders using bleeding-edge technology.
• Opportunity to accelerate your career in a dynamically developing company.
• Employee Share Options Program.
• Fitness and health membership benefits.
• Fully remote work model with a provided gaming laptop for work.