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- Tasks: Join our AI & Graphics team as a Machine Learning Engineer focusing on Computer Vision.
- Company: Be part of a global leader in technology and innovation.
- Benefits: Work in a dynamic environment with opportunities to solve real-world problems.
- Why this job: Shape the future of technology while working on cutting-edge AI-driven projects.
- Qualifications: Master's degree in Computer Science/Engineering and experience with C++ and Python required.
- Other info: Ideal for those passionate about AI, computer vision, and innovative tech solutions.
The predicted salary is between 36000 - 60000 £ per year.
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Job Title:
Machine Learning Engineer (Computer Vision)
Location:
Staines-upon-Thames, Surrey, UK
About the Role:
We are seeking a talented and passionate Machine Learning Engineer with expertise in Computer Vision to join our innovative AI & Graphics team. This is a fantastic opportunity to work on next-generation mobile devices and push the boundaries of AI and content creation.
Key Responsibilities:
- Explore and experiment with emerging technologies to enhance AI-driven content reconstruction, creation, and editing processes.
- Review state-of-the-art computer vision research papers and develop prototype solutions.
- Develop cutting-edge software and algorithms for computer vision, image processing, and deep learning models.
- Take technical responsibility for significant sections of assigned projects.
- Translate complex functional and technical requirements into detailed designs.
Required Skills:
- Master’s or higher degree in Computer Science/Engineering or related disciplines.
- Professional software development experience with C++ and Python.
- Experience with machine learning frameworks such as TensorFlow and PyTorch.
- Expertise in image-based 3D reconstruction techniques like Photogrammetry, Neural Radiance Fields (NERF), or Gaussian Splatting.
- Excellent communication, teamwork, and problem-solving skills.
- Experience in Generative AI and hands-on implementation of state-of-the-art models.
- Knowledge of computational photography, image inpainting, and 3D vision.
- Experience with model optimization and knowledge distillation.
- Familiarity with computer graphics and rendering (OpenGL, Vulkan, DirectX).
Why Join Us?
- Work in a dynamic and forward-thinking environment.
- Opportunity to solve industry-relevant problems and work in production environments.
- Be part of a global leader in technology and innovation.
How to Apply:
If you are passionate about AI and computer vision and want to be part of a team that is shaping the future of technology, we would love to hear from you. Apply now and take the next step in your career.
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Machine Learning Engineer employer: TieTalent
Contact Detail:
TieTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you've implemented these technologies, as this will demonstrate your practical skills to the hiring team.
✨Tip Number 2
Familiarize yourself with the latest research in computer vision, especially in areas like image-based 3D reconstruction and generative AI. Being able to discuss recent advancements or papers during your interview can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with C++ and Python in detail. Be ready to explain how you've used these languages in past projects, particularly in relation to developing algorithms for computer vision and deep learning models.
✨Tip Number 4
Emphasize your teamwork and communication skills, as these are crucial for collaborating within the AI & Graphics team. Think of examples where you've successfully worked in a team setting to solve complex problems or deliver projects.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Machine Learning Engineer position. Understand the key responsibilities and required skills, especially focusing on computer vision and machine learning frameworks.
Tailor Your CV: Customize your CV to highlight relevant experience in C++, Python, and machine learning frameworks like TensorFlow and PyTorch. Emphasize any projects or work related to computer vision and AI that align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and computer vision. Mention specific technologies and techniques you have worked with, such as image-based 3D reconstruction or generative AI, and explain how they relate to the role.
Showcase Your Projects: If applicable, include links to your GitHub or portfolio where you have demonstrated your work in machine learning and computer vision. Highlight any prototypes or algorithms you've developed that are relevant to the position.
How to prepare for a job interview at TieTalent
✨Show Your Passion for AI and Computer Vision
Make sure to express your enthusiasm for AI and computer vision during the interview. Share specific projects or experiences that highlight your passion and how they relate to the role.
✨Demonstrate Technical Expertise
Be prepared to discuss your experience with C++, Python, and machine learning frameworks like TensorFlow and PyTorch. Bring examples of your work, especially in image processing and deep learning models, to showcase your skills.
✨Discuss Emerging Technologies
Familiarize yourself with the latest trends and technologies in AI and computer vision. Be ready to talk about recent research papers you've reviewed and how you can apply those insights to enhance content creation processes.
✨Highlight Teamwork and Communication Skills
Since collaboration is key in this role, prepare to share examples of how you've successfully worked in teams. Emphasize your communication skills and problem-solving abilities, as these are crucial for translating complex requirements into actionable designs.
