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- Tasks: Enhance video streaming quality using machine learning and computer vision techniques.
- Company: Fast-growing UK tech company with a focus on innovation.
- Benefits: Competitive pay and a dynamic work environment.
- Why this job: Join a cutting-edge team and make a real impact on video technology.
- Qualifications: 3+ years in software development and a relevant Bachelor's degree.
The predicted salary is between 28800 - 48000 £ per year.
A fast-growing UK technology company is looking for an experienced Software Development Engineer to enhance video streaming quality and technology. You will design algorithms using Java, C++, or C# and focus on machine learning and computer vision techniques to improve video quality.
The ideal candidate has over 3 years of experience in software development and a Bachelor's degree in a relevant field. This role offers competitive pay and a dynamic work environment.
Video Quality Analysis Engineer - Real-Time ML in London employer: MENA Alliances
Contact Detail:
MENA Alliances Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Video Quality Analysis Engineer - Real-Time ML in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at tech meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving video quality analysis or machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and coding challenges. Practice makes perfect, so use platforms like LeetCode or HackerRank to get ready for those tricky questions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your interest in joining our awesome team.
We think you need these skills to ace Video Quality Analysis Engineer - Real-Time ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Java, C++, or C#. We want to see how your skills align with enhancing video streaming quality and any relevant machine learning projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about video quality and technology. Share specific examples of your work that demonstrate your expertise in software development and computer vision techniques.
Showcase Your Projects: If you've got any personal or professional projects related to video quality analysis or machine learning, don’t hesitate to include them. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in our dynamic team!
How to prepare for a job interview at MENA Alliances
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Java, C++, and C#. Be ready to discuss how you've used these languages in past projects, especially in relation to video streaming and machine learning. Having specific examples at hand will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about common issues in video quality analysis and how you would approach solving them. This will demonstrate your analytical thinking and practical skills.
✨Understand the Company’s Vision
Research the company’s current projects and their goals in enhancing video streaming technology. Being able to align your answers with their mission will show that you're genuinely interested and invested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the technologies they use or the challenges they face in video quality analysis. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
