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- Tasks: Design and optimise AI models for image and text processing.
- Company: Global brand protection leader based in London.
- Benefits: Hybrid work environment with competitive salary and growth opportunities.
- Other info: Exciting role with a focus on innovative technology.
- Why this job: Join a cutting-edge team enhancing brand safety and online content monitoring.
- Qualifications: 3+ years in machine learning with skills in TensorFlow and PyTorch.
The predicted salary is between 36000 - 60000 £ per year.
A global brand protection leader in London is seeking a Machine Learning Engineer to design and optimize AI models for image and text processing. The role involves developing state-of-the-art technology to enhance brand safety and online content monitoring.
Candidates should have over 3 years of experience in machine learning, with strong skills in frameworks like TensorFlow and PyTorch. This full-time position offers a hybrid work environment.
Hybrid ML Engineer: Vision, NLP & Brand Protection employer: Corsearch
Contact Detail:
Corsearch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid ML Engineer: Vision, NLP & Brand Protection
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. 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 in image and text processing. Use GitHub to share your code and demonstrate your expertise with TensorFlow and PyTorch.
✨Tip Number 3
Prepare for interviews by brushing up on common ML concepts and algorithms. Practice explaining your past projects and how they relate to brand protection and online content monitoring.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Hybrid ML Engineer: Vision, NLP & Brand Protection
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with machine learning and the frameworks like TensorFlow and PyTorch. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the job. Mention your experience in image and text processing, as well as any relevant projects that showcase your expertise.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see why you’re a great fit for the role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Corsearch
✨Know Your Tech Inside Out
Make sure you’re well-versed in the frameworks mentioned in the job description, like TensorFlow and PyTorch. Brush up on your knowledge of machine learning algorithms and be ready to discuss how you've applied them in past projects.
✨Showcase Your Projects
Prepare to talk about specific projects where you've designed or optimised AI models for image and text processing. Highlight any challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Understand Brand Protection
Familiarise yourself with the concept of brand protection and online content monitoring. Be ready to discuss how machine learning can enhance these areas, showing that you understand the company's mission and how you can contribute.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals in AI. This not only shows your interest but also helps you gauge if the role aligns with your career aspirations.