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- Tasks: Develop and optimise algorithms for video quality analysis using cutting-edge machine learning techniques.
- Company: Join a renowned multinational company leading in innovative technology solutions.
- Benefits: Enjoy competitive salary, immigration support, and the chance to work remotely.
- Why this job: Be part of a dynamic team making a real impact in video quality through advanced technology.
- Qualifications: Master's degree in Machine Learning or related field; programming experience in Java, C++, or C# required.
- Other info: Gain global experience while working with a diverse team in an exciting environment.
The predicted salary is between 36000 - 60000 £ per year.
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.
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Contact Detail:
Menaalliances Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer, Video Quality Analysis
✨Tip Number 1
Familiarise yourself with the latest advancements in video quality analysis and machine learning. Understanding foundational models and transformer-based architectures will give you a significant edge during discussions with our team.
✨Tip Number 2
Showcase your practical experience with computer vision techniques. Be prepared to discuss specific projects where you've implemented algorithms for defect detection or video quality evaluation, as this will demonstrate your hands-on expertise.
✨Tip Number 3
Brush up on your programming skills, particularly in languages like Java, C++, or C#. Being able to articulate your experience with object-oriented design and software development life cycles will be crucial in impressing our hiring team.
✨Tip Number 4
Network with professionals in the field of machine learning and video analysis. Engaging with communities or attending relevant meetups can provide insights and connections that may help you stand out when applying for this role.
We think you need these skills to ace Machine Learning Engineer, Video Quality Analysis
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, computer vision, and programming languages like Java, C++, or C#. Emphasise any projects or roles where you've developed algorithms or worked with video quality analysis.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the key responsibilities, particularly your experience with MLOps and transformer-based architectures.
Showcase Relevant Projects: If you have worked on projects related to video quality analysis or machine learning, include them in your application. Provide specific examples of how you optimised algorithms or improved system performance.
Highlight Your Educational Background: Clearly state your educational qualifications, especially if you hold a Master's degree in Machine Learning or Applied Mathematics. Mention any relevant coursework or research that relates to the job description.
How to prepare for a job interview at Menaalliances
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like Java, C++, or C#. Highlight specific projects where you've implemented machine learning algorithms or worked on video quality analysis.
✨Understand the Machine Learning Lifecycle
Familiarise yourself with the entire machine learning lifecycle, from model training to optimization. Be ready to explain how you've applied these concepts in previous roles, especially in relation to real-time video processing.
✨Demonstrate Problem-Solving Abilities
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach optimising algorithms for low latency and cost-effective operations, and be ready to discuss your thought process.
✨Research the Company and Its Technologies
Take some time to learn about the company's current projects and technologies, particularly in computer vision and MLOps. This will not only show your interest but also help you tailor your answers to align with their goals.
