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- Tasks: Lead the development of models that detect damage on large vehicles using machine learning.
- Company: A leading technology company focused on real-world impact.
- Benefits: Salary between £65,000 - £85,000 with growth opportunities.
- Why this job: Make a real difference in vehicle safety with cutting-edge technology.
- Qualifications: Significant machine learning experience, especially in computer vision, and Python proficiency.
- Other info: Collaborative environment with a focus on operational success of ML systems.
The predicted salary is between 65000 - 85000 £ per year.
A leading technology company is seeking a Machine Learning Engineer - Computer Vision to lead the development of models that detect damage on large vehicles. This role involves designing and optimizing object detection models, collaborating with various teams, and ensuring operational success of ML systems.
Candidates should have significant machine learning experience, particularly in computer vision and proficiency in Python.
The position offers a salary of £65,000 - £85,000 and comes with opportunities for growth and impact.
Remote Computer Vision ML Engineer - Real-World Impact in London employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Computer Vision ML Engineer - Real-World Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working in computer vision. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in machine learning and computer vision. This is your chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with object detection models and how you’ve tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about making a real-world impact with their skills.
We think you need these skills to ace Remote Computer Vision ML Engineer - Real-World Impact in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in machine learning and computer vision. We want to see how you've tackled similar challenges in the past, so don’t hold back on those impressive projects!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our mission and can connect their skills to the specific requirements of the job.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
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 Fruition Group
✨Know Your Stuff
Make sure you brush up on your machine learning and computer vision knowledge. Be ready to discuss specific models you've worked on, especially in object detection. We recommend preparing examples of how you've optimised these models in past projects.
✨Showcase Your Python Skills
Since proficiency in Python is key for this role, be prepared to demonstrate your coding skills. We suggest practising common algorithms and data manipulation tasks in Python. You might even want to bring a small project or code snippet to discuss during the interview.
✨Collaboration is Key
This role involves working with various teams, so highlight your teamwork experience. We advise preparing anecdotes that showcase your ability to collaborate effectively, whether it’s with data scientists, engineers, or product managers. Think about how you’ve contributed to team success in the past.
✨Impact Matters
The company is looking for candidates who can make a real-world impact. We suggest you prepare to discuss how your work has led to tangible results in previous roles. Be ready to explain how your contributions can help improve operational success in ML systems.
