National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer, Video Quality Analysis

Menaalliances
London
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer, Amazon Studios Ai Lab (London)

Artificial Intelligence And Machine Learning Engineer Intern

Staff Machine Learning Engineer

Computer Vision Engineer

Data Engineer / Machine Learning Engineer

Data Scientist Consultant

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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

When it comes to job hunting in artificial intelligence (AI), most candidates head straight to traditional job boards, LinkedIn, or recruitment agencies. But what if there was a better way to find roles that aren’t advertised publicly? What if you could access hidden job leads, gain inside knowledge, or get referred by people already in the field? That’s where professional bodies and specialist AI communities come in. In this article, we’ll explore how UK-based organisations like BCS (The Chartered Institute for IT), IET (The Institution of Engineering and Technology), and the Turing Society can help you uncover AI job opportunities you won’t find elsewhere. We'll show you how to strategically use their directories, special-interest groups (SIGs), and CPD (Continuing Professional Development) events to elevate your career and expand your AI job search in ways most job seekers overlook.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.