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- Tasks: Lead exciting computer vision projects to detect vehicle damage using AI.
- Company: Innovative tech firm at the forefront of AI technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real-world impact by enhancing operational efficiency in the transport industry.
- Qualifications: Strong machine learning experience, especially in object detection, and Python proficiency.
- Other info: Join a dynamic team passionate about solving real-world challenges.
The predicted salary is between 36000 - 60000 £ per year.
A technology firm specializing in AI is seeking a Machine Learning Engineer to take ownership of computer vision projects focused on detecting damage on large commercial vehicles. You will design and train models using real-world data, improve model accuracy, and collaborate closely with data and engineering teams.
Ideal candidates will have strong experience in machine learning, particularly in object detection, be proficient in Python, and have a passion for solving real-world challenges. This role offers visibility and impact on operational efficiency.
CV ML Engineer – Vehicle Damage Detection (Production) in London employer: Fruition Group
Contact Detail:
Fruition Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land CV ML Engineer – Vehicle Damage Detection (Production) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. 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, especially those related to computer vision and object detection. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨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. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from passionate candidates like you. It shows initiative and gives us a chance to see your enthusiasm for the role.
We think you need these skills to ace CV ML Engineer – Vehicle Damage Detection (Production) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and object detection. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our vehicle damage detection projects. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: Be specific about your proficiency in Python and any other tools or frameworks you’ve used in your projects. We’re looking for someone who can hit the ground running, so let us know what you bring to the table!
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 Fruition Group
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially around object detection. Be ready to discuss your previous projects in detail, particularly any that involved real-world data and model training.
✨Showcase Your Passion
Let your enthusiasm for solving real-world challenges shine through. Share examples of how you've tackled complex problems in the past and how you can apply that passion to the role at the technology firm.
✨Collaborate Like a Pro
Since this role involves working closely with data and engineering teams, be prepared to discuss your experience in collaboration. Highlight any successful teamwork experiences and how you contributed to achieving common goals.
✨Python Proficiency is Key
As proficiency in Python is crucial for this position, be ready to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and object detection beforehand.
