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Machine Learning Engineer, Video Quality Analysis

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Summary

Recruited on behalf of a UK-based multinational, this role designs and optimizes computer-vision and ML algorithms to detect defects and assess video quality in near real-time, using foundational models, transformer architectures, and masked autoencoders.

About the role:

We're thrilled to present an incredible career opportunity! We're recruiting on behalf of a renowned multinational company based in the United Kingdom, seeking a Machine Learning Engineer, Video Quality Analysis.

What you’ll do:

As a key contributor, you will help develop innovative solutions by designing and implementing advanced algorithms to detect defects and evaluate overall video quality. This role involves leveraging the latest technologies, including foundational models, transformer-based architectures, masked autoencoders, image processing, image analysis, computer vision, and machine learning. A primary focus will be on optimizing these algorithms to ensure they deliver accurate, efficient, and reliable results in near real-time.

Key responsibilities:

  • Develop detectors using advanced computer vision and machine learning (ML) techniques.
  • Optimize solutions to ensure low latency and cost-effective operation at scale for customers.
  • Apply deep knowledge of the Machine Learning lifecycle, including model training, optimization, experimentation, and maintenance.
  • Leverage core SDE computer science skills combined with a strong understanding of statistics and math to analyse algorithmic performance.


Requirements

BASIC QUALIFICATIONS

- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in professional, non-internship software development
- Master's degree in Machine Learning, Applied Mathematics, Operations Research or a related field, or equivalent work experience

PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience with developing and deploying Machine Learning Operations (MLOps) at scale
- Experience with large scale foundational models and transformer-based architecture (GenAI)



Benefits

  • Immigration support: The company provides support for your immigration process to the United Kingdom.
  • Competitive Salary: Enjoy a competitive salary package reflective of your skills and experience.
  • Global Experience: Gain international experience by working with a diverse team in a dynamic region.


Skills

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See also

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