Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop advanced robotic perception systems and tackle complex engineering challenges.
- Company: Visionerds, a leader in robotics and computer vision innovation.
- Benefits: Career growth opportunities and involvement in high-impact projects.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a passionate team and shape the future of robotic welding technology.
- Qualifications: 5+ years in machine learning, strong Python and Deep Learning skills.
The predicted salary is between 60000 - 84000 £ per year.
Visionerds is seeking a passionate Senior Machine Learning Engineer – Robotics & Computer Vision to work on advanced robotic welding systems. In this role, you will develop robotic perception systems and collaborate with teams to solve complex engineering challenges.
Candidates should have over 5 years of experience in machine learning, strong skills in Python and Deep Learning, and a relevant degree. The position offers opportunities for career growth and involvement in high-impact projects.
Senior ML Engineer: Robotics & Vision for Welding in London employer: Visionerds
Contact Detail:
Visionerds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: Robotics & Vision for Welding in London
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and machine learning space on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those related to robotic perception systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and Deep Learning skills. Practice coding challenges and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our team.
We think you need these skills to ace Senior ML Engineer: Robotics & Vision for Welding in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for robotics and computer vision shine through. We want to see how excited you are about tackling complex engineering challenges and developing innovative solutions.
Highlight Relevant Experience: Make sure to detail your experience in machine learning and Python. We’re looking for someone with over 5 years in the field, so don’t hold back on showcasing your projects and achievements that align with our needs.
Tailor Your Application: Customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We appreciate when candidates take the time to connect their background with what we’re looking for in a Senior ML Engineer.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Visionerds!
How to prepare for a job interview at Visionerds
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially in robotics and computer vision. Be ready to discuss your past projects and how you've applied Python and Deep Learning in real-world scenarios.
✨Show Your Passion
Visionerds is looking for someone who’s genuinely excited about robotic welding systems. Share your enthusiasm for the field and any personal projects or research that demonstrate your commitment to advancing technology in this area.
✨Collaborative Mindset
Since the role involves teamwork, be prepared to talk about how you’ve successfully collaborated with others in previous roles. Highlight specific examples where you solved complex engineering challenges as part of a team.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s projects and future goals. This shows that you’re not just interested in the position but also in how you can contribute to their mission and grow within the company.