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- Tasks: Develop and optimize algorithms for video quality analysis using cutting-edge machine learning techniques.
- Company: Join a renowned multinational company based in the UK, leading in innovative tech solutions.
- Benefits: Enjoy competitive salary, immigration support, and global experience with a diverse team.
- Why this job: Be at the forefront of technology, working on impactful projects in a dynamic environment.
- Qualifications: Master's degree in Machine Learning or related field; programming experience in Java, C++, or C# required.
- Other info: Opportunity to work with advanced technologies like foundational models and transformer-based architectures.
The predicted salary is between 43200 - 72000 £ 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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Machine Learning Engineer, Video Quality Analysis employer: Menaalliances
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
Familiarize yourself with the latest advancements in computer vision and machine learning. Understanding foundational models and transformer-based architectures will give you a significant edge during discussions and interviews.
✨Tip Number 2
Showcase your experience with low latency and cost-effective solutions. Be prepared to discuss specific projects where you optimized algorithms for real-time performance, as this is a key focus of the role.
✨Tip Number 3
Highlight your knowledge of the Machine Learning lifecycle. Be ready to talk about your experiences with model training, optimization, and maintenance, as these are crucial aspects of the position.
✨Tip Number 4
If you have experience with MLOps, make sure to emphasize it. Discuss any relevant tools or frameworks you've used to deploy machine learning models at scale, as this will align well with the preferred qualifications.
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#. Emphasize any projects or roles where you contributed to the architecture and design of systems.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss your experience with advanced algorithms, MLOps, and any specific technologies mentioned in the job description, such as transformer-based architectures.
Showcase Your Projects: If you have worked on projects related to video quality analysis or machine learning, include them in your application. Provide links to your GitHub or portfolio to demonstrate your skills and contributions.
Highlight Relevant Education: Clearly state your educational background, especially if you hold a Master's degree in Machine Learning, Applied Mathematics, or a related field. Mention any relevant coursework or research that aligns with the job requirements.
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 implemented advanced algorithms or worked on computer vision tasks.
✨Demonstrate Your Understanding of Machine Learning
Discuss the Machine Learning lifecycle in detail. Be ready to explain how you've trained, optimized, and maintained models in past projects, especially focusing on low latency and cost-effective solutions.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges and algorithm optimization scenarios that relate to video quality analysis and real-time processing.
✨Familiarize Yourself with MLOps
Since experience with Machine Learning Operations at scale is preferred, be ready to talk about your knowledge of MLOps practices. Discuss any relevant tools or frameworks you've used in deploying machine learning models.
