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- Tasks: Develop advanced algorithms for robotic perception systems in welding applications.
- Company: Visionerds, a leader in robotics and AI innovation.
- Benefits: High-impact projects, career growth, and a collaborative culture.
- Other info: Inclusive environment valuing diversity and mentorship opportunities.
- Why this job: Shape the future of intelligent automation with cutting-edge technology.
- Qualifications: 5+ years in machine learning, strong Python and computer vision skills.
The predicted salary is between 60000 - 80000 £ per year.
Visionerds is looking for a passionate and experienced Senior Machine Learning Engineer – Robotics & Computer Vision to help build the future of intelligent robotic welding systems. In this role, you will work at the intersection of AI, robotics, computer vision, and industrial automation, developing advanced robotic perception systems for real-world manufacturing environments. You will collaborate closely with multidisciplinary teams to solve complex welding challenges using deep learning, sensor fusion, and 3D perception technologies. This is an opportunity to work on cutting‑edge robotics applications with real production impact while helping shape the future direction of perception technologies within the company.
Key Responsibilities
- Lead the development and implementation of advanced algorithms for robotic perception systems tailored to industrial welding applications.
- Integrate and process data from multiple vision sensors including RGB/GigE cameras, LiDAR, and ToF depth sensors.
- Drive research initiatives focused on solving welding-related challenges using computer vision, image processing, point cloud analysis, and 3D sensor fusion.
- Design and lead experiments evaluating state-of-the-art deep learning models for robotic perception systems.
- Optimize machine learning pipelines and deploy robust perception solutions for production environments.
- Collaborate with robotics, software, and hardware teams to build scalable intelligent systems.
- Stay updated with advancements in Robotics, Computer Vision, and AI research and apply cutting-edge approaches to real-world problems.
- Mentor junior engineers and provide technical leadership across perception and machine learning initiatives.
- Contribute to architectural and strategic technical decisions aligned with long‑term product and business goals.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Robotics, Artificial Intelligence, or a related technical field.
- 5+ years of experience developing machine learning solutions for real-world robotics or industrial systems.
- Strong expertise in Python, Deep Learning, Neural Networks, Computer Vision, and 3D Data Processing.
- Experience working with RGB/GigE cameras, LiDAR sensors, ToF depth sensors, and sensor fusion techniques.
- Strong understanding of machine learning model development, optimization, and deployment.
- Proven ability to bridge research concepts into practical production-ready systems.
- Ability to thrive in a fast‑paced startup environment.
Nice to Have
- Experience with ROS/ROS2.
- Familiarity with industrial robotics systems.
- Knowledge of welding automation or manufacturing workflows.
- Experience with C++ or performance‑critical systems.
- Publications or research background in Robotics or Computer Vision.
What We Offer
- Opportunity to work on cutting‑edge robotics and AI technologies.
- High‑impact projects with real‑world industrial applications.
- Collaborative and innovation‑driven engineering culture.
- Career growth and leadership opportunities.
- Chance to shape the future of intelligent automation.
We value diversity and create an inclusive environment for everyone.
Senior Machine Learning Engineer – Robotics & Computer Vision employer: Visionerds
Contact Detail:
Visionerds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer – Robotics & Computer Vision
✨Network Like a Pro
Get out there and connect with folks in the robotics and AI scene! Attend meetups, conferences, or webinars related to machine learning and robotics. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving deep learning and computer vision. Share your GitHub repos or any relevant research papers. This gives potential employers a taste of what you can do and how you tackle real-world problems.
✨Ace the Interview
Prepare for technical interviews by brushing up on algorithms and system design, especially in the context of robotics. Practice coding challenges and be ready to discuss your past projects in detail. Remember, they want to see how you think and solve problems!
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Visionerds and contributing to cutting-edge projects.
We think you need these skills to ace Senior Machine Learning Engineer – Robotics & Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning, robotics, and computer vision. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about robotics and AI, and how your background makes you a perfect fit for our team. Let us know what excites you about the role!
Showcase Your Technical Skills: We love seeing practical examples of your work! If you’ve developed algorithms or worked on projects involving deep learning or sensor fusion, include those details. Real-world applications are what we’re all about!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Visionerds
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, deep learning, and sensor fusion. Brush up on your knowledge of RGB/GigE cameras and LiDAR sensors, as you might be asked to discuss how you’ve used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to robotics and computer vision. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled complex problems.
✨Collaborate Like a Pro
Since this role involves working with multidisciplinary teams, be ready to talk about your experience collaborating with others. Share examples of how you’ve successfully worked with software and hardware teams to deliver projects, and emphasise your ability to mentor junior engineers.
✨Stay Current with Industry Trends
Demonstrate your passion for the field by discussing recent advancements in robotics and AI that excite you. This shows that you’re not just knowledgeable but also genuinely interested in contributing to the future of intelligent automation.