Machine Learning Engineer, Video Quality Analysis

Menaalliances
London, England
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Senior Research Engineer - Interactive Avatars

Synthesia London, United Kingdom
Remote

Staff Research Engineer - Video Post Training

Synthesia London, United Kingdom
£50,000 pa Remote

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Developer - Python (Or Golang)

Sky Tw75Qd, TW7 5QD, United Kingdom
Hybrid

Principal Machine Learning Engineer (Live Sports Insights)

Sky Tw75Qd, TW7 5QD, United Kingdom
Hybrid

Principal Machine Learning Engineer

Sky Tw75Qd, TW7 5QD, United Kingdom
On-site
Posted
30 Dec 2025 (6 months ago)

Machine Learning Engineer, Video Quality Analysis

London, United Kingdom | Posted on 11/25/2024

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 analyze 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.
  • 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).

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.


#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.