Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Support cutting-edge research in Computer Vision and Deep Learning with hands-on model deployment.
- Company: Join a forward-thinking lab focused on future interaction technologies.
- Benefits: Competitive salary, flexible work options, and opportunities for skill development.
- Why this job: Make a real impact in tech by working on innovative projects that shape the future.
- Qualifications: Experience in Python, C++, and app development; teamwork skills are essential.
- Other info: Dynamic research environment with great potential for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
We have 1 position open for a Research Engineer to support the lab's work within the areas of Computer Vision and Deep Learning. The position is part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:
- Key Responsibilities
- On-device model deployment, quantization and optimization. Typical tools: ONNX and Qualcomm AI Runtime (QNN).
- Advanced PC quantization of models, e.g. SmoothQuant, AdaRound, etc.
- Data management.
- Support demos, typically on-device. Require: creation/adaptation of demo app running on the phone, implementation of inference pipeline (C++), model porting and integration on the app, unit testing, etc.
- Support of web-based tooling, e.g. creation of custom visualization or annotation tools.
Required Skills
- Python, C++, Bash.
- Experience with at least one of Android or web app development.
- Able to learn the concepts and pipelines for on-device porting and quantization of models.
- Good at working collaboratively as part of a team.
Desired Skills
- Docker, Java.
- Familiarity with porting tools such as ONNX/QNN.
- Prior experience with quantization.
Computer Vision/Machine Learning Engineer in London employer: microTECH Global Limited
Contact Detail:
microTECH Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision/Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how important it is to make connections; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Computer Vision and Deep Learning. We love seeing practical applications of your work, so make sure to highlight any demos or apps you've developed.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and C++ skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with coding challenges and system design questions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who are eager to dive into the world of AI and machine learning.
We think you need these skills to ace Computer Vision/Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, C++, and any relevant projects in computer vision or machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about computer vision and deep learning. Share specific examples of your work, especially any experience with on-device model deployment or quantization.
Show Off Your Team Spirit: We love collaboration! In your application, mention any experiences where you’ve worked as part of a team. Highlight how you contributed to group projects, especially in tech environments, as this is key for us.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
How to prepare for a job interview at microTECH Global Limited
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, C++, and Bash. Brush up on your knowledge of ONNX and Qualcomm AI Runtime, as these are crucial for the role. Being able to discuss your experience with model deployment and quantization will definitely impress.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving on-device model deployment or web app development. Bring examples that highlight your skills in creating demo apps or implementing inference pipelines, as this will demonstrate your hands-on experience.
✨Collaborative Spirit is Key
Since teamwork is essential for this position, be ready to share examples of how you've successfully collaborated with others in past projects. Highlight your ability to communicate effectively and contribute to a team environment, as this will show you’re a good fit for their culture.
✨Ask Smart Questions
Prepare thoughtful questions about the Future Interaction Research Programme and the specific challenges they face in Computer Vision and Deep Learning. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.