Robotics ML Engineer: Vision, Real-World Deployment in England

Robotics ML Engineer: Vision, Real-World Deployment in England

England Full-Time 50000 - 70000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and deploy advanced machine learning models for robotic systems.
  • Company: Leading robotics company at the forefront of industrial automation.
  • Benefits: Exciting opportunities to impact the future of robotics and automation.
  • Other info: Dynamic work environment with potential for significant career growth.
  • Why this job: Join a pioneering team and shape the future of technology in robotics.
  • Qualifications: PhD or equivalent experience in relevant fields, strong Python and ML skills.

The predicted salary is between 50000 - 70000 £ per year.

VIKASO® | Robotics 4.0 is seeking a machine learning engineer to develop and deploy advanced models for robotic systems. This role focuses on applying deep learning and computer vision techniques to improve automation and robotics performance.

Candidates should have a PhD in relevant fields or equivalent experience, and strong skills in Python and ML frameworks.

The position offers an exciting opportunity to impact the future of industrial automation in a leading robotics company.

Robotics ML Engineer: Vision, Real-World Deployment in England employer: VIKASO | Robotics 4.0

VIKASO® | Robotics 4.0 is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of robotics and automation. With a strong commitment to employee growth, we provide ample opportunities for professional development and hands-on experience in cutting-edge technologies. Located in a vibrant tech hub, our team enjoys a stimulating environment that encourages creativity and impactful contributions to the future of industrial automation.

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Contact Details:

VIKASO | Robotics 4.0 Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Robotics ML Engineer: Vision, Real-World Deployment in England

Tip Number 1

Network like a pro! Reach out to professionals in the robotics and ML fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning and computer vision. This will give you an edge and demonstrate your hands-on experience to potential employers.

Tip Number 3

Prepare for interviews by brushing up on common ML and robotics questions. We recommend doing mock interviews with friends or using online platforms to practice articulating your thoughts clearly and confidently.

Tip Number 4

Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows your genuine interest in joining our team at VIKASO®.

We think you need these skills to ace Robotics ML Engineer: Vision, Real-World Deployment in England

Machine Learning
Deep Learning
Computer Vision
Python
ML Frameworks
Robotic Systems Development
Automation Techniques

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with Python and ML frameworks in your application. We want to see how you've applied deep learning and computer vision techniques in real-world projects, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that relate to robotics and automation, as it shows us you’re genuinely interested in the position.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read, so avoid jargon unless it’s necessary to showcase your expertise.

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!

How to prepare for a job interview at VIKASO | Robotics 4.0

Know Your Tech Inside Out

Make sure you’re well-versed in the latest deep learning and computer vision techniques. Brush up on your Python skills and be ready to discuss specific ML frameworks you've worked with. The more you can demonstrate your technical expertise, the better!

Showcase Real-World Applications

Prepare examples of how you've applied your machine learning knowledge in real-world scenarios, especially in robotics. Discuss any projects where you improved automation or performance, as this will show your potential employer that you can make a tangible impact.

Ask Insightful Questions

Don’t just wait for them to ask if you have questions; come prepared with thoughtful queries about their current projects or future goals in robotics. This shows your genuine interest in the role and helps you gauge if the company aligns with your career aspirations.

Practice Problem-Solving

Expect technical questions or even coding challenges during the interview. Practice solving problems related to machine learning and robotics beforehand. This will help you think on your feet and demonstrate your analytical skills effectively.