Machine Learning Engineer, Video Quality Analysis

Menaalliances
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Computer Vision Engineer

Data Scientist II, RufusX Science UK

Data Scientist, Game Analytics

Senior Data Scientist, Game Analytics

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

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.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.