At a Glance
- Tasks: Innovate in Computer Vision and Machine Learning for autonomous systems.
- Company: Join a leading tech firm pushing the boundaries of AI.
- Benefits: Attractive salary, flexible working, and opportunities for growth.
- Other info: Collaborative environment with mentorship opportunities and global teamwork.
- Why this job: Make a real impact by transforming research into cutting-edge prototypes.
- Qualifications: MSc in relevant field and 4+ years in Deep Learning solutions.
The predicted salary is between 60000 - 80000 £ per year.
Responsibilities:
- Develop and innovate Computer Vision, Machine Learning and Multi-Modal Sensing technologies for perception in autonomous systems.
- Transform research concepts into working prototypes and work on their integration into autonomous systems.
- Support data collection and curation activities.
- Liaise and work cooperatively with our global team of experts and engineers.
- Mentor undergraduate and graduate engineers.
Minimum Requirements:
- MSc degree in Computer Vision, Machine Learning or a closely related field.
- 4+ years of industrial experience in development and delivery of Deep Learning based solutions for perception systems.
- Experience of production-grade and high-volume Computer Vision and Machine Learning pipelines for pre-processing, training and deployment.
- Excellent knowledge of the state-of-the-art Deep Learning techniques for Computer Vision.
- Strong knowledge of Object-Oriented programming and excellent skills in Python programming.
- Extensive experience in using major Deep Learning Libraries (e.g., PyTorch, TensorFlow) and Computer Vision libraries (e.g., OpenCV, PCL).
- Very good software engineering practices and familiarity with software development platforms, version control and issue tracking tools.
- Excellent verbal and written communication skills in English.
Preferred Requirements:
- Hands-on experience in developing multi-modal 3D Computer Vision solutions.
- Hands-on experience in using classical machine learning techniques.
- Good knowledge of neural network optimisation techniques, e.g., quantisation and pruning.
- Good knowledge of probabilistic methods for object tracking (e.g., Kalman/Particle Filters, RTS smoothing).
- Domain expertise in Robotics or Driver Assistance Systems.
Senior Machine Learning Engineer in London employer: Fusionride
As a Senior Machine Learning Engineer, you will thrive in an innovative environment that champions cutting-edge technology and collaborative teamwork. Our company offers exceptional benefits, a vibrant work culture that fosters creativity and mentorship, and ample opportunities for professional growth, all set in a dynamic location that is at the forefront of technological advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that Senior Machine Learning Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Computer Vision and Machine Learning. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in Computer Vision and Machine Learning. We want to see how your skills align with the responsibilities listed in the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about developing innovative technologies for autonomous systems. We love seeing enthusiasm and a clear connection to our mission at StudySmarter.
Showcase Your Technical Skills:Be specific about your experience with Deep Learning libraries like PyTorch and TensorFlow. We’re looking for solid examples of how you’ve used these tools in production-grade systems, so don’t hold back on the details!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Fusionride
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest Deep Learning techniques and libraries like PyTorch and TensorFlow. Brush up on your knowledge of Computer Vision and be ready to discuss how you've applied these technologies in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in developing Machine Learning solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you transformed research concepts into working prototypes.
✨Collaboration is Key
Since the role involves liaising with a global team, be ready to share examples of how you’ve successfully worked in teams. Emphasise your communication skills and any mentoring experience you have, as this will show your ability to support and guide others.
✨Stay Current and Curious
Demonstrate your passion for the field by discussing recent advancements in Machine Learning and Computer Vision. Show that you’re not just knowledgeable but also eager to learn and innovate, which is crucial for a Senior Engineer role.
