At a Glance
- Tasks: Design and implement machine learning pipelines for innovative agricultural technology.
- Company: Revolutionary company transforming agriculture with cutting-edge technology.
- Benefits: Competitive salary, supportive team, and opportunities for continuous learning.
- Other info: Onsite role in Newport Shropshire with excellent career growth potential.
- Why this job: Make a real impact on agriculture while working with advanced machine learning systems.
- Qualifications: Experience in machine learning, proficiency in C/C++/Python, and knowledge of CNN architectures.
The predicted salary is between 40000 - 55000 € per year.
Are you ready to take your career to the next level by working on cutting-edge technology in the agricultural sector? This is your opportunity to be part of an innovative company that is revolutionising the way agriculture operates at their UK R&D facility. As a Machine Learning Engineer - Robotics & Perception, you will play a pivotal role in developing intelligent systems that are deployed in real-world environments, making a tangible impact on the industry. By helping design, train, and deploy perception systems — from image segmentation and object classification through to stereo camera pipelines and real-time deep neural inference. You will work closely with robotics, embedded, and systems engineers to bring cutting-edge vision intelligence into production agricultural environments. By joining this company, you'll contribute to creating intelligent systems that are transforming agricultural practices. The role offers the chance to work on innovative projects alongside a supportive and talented team. This company values quality, continuous learning, and delivering real-world solutions that make a difference.
What You Will Do:
- Design and implement machine learning pipelines for image segmentation, object detection, and 3D scene reconstruction.
- Train and optimise deep neural network models using frameworks such as PyTorch and TensorFlow.
- Manage and curate training datasets, including developing data augmentation and annotation strategies.
- Deploy machine learning models to embedded and edge computing platforms for real-time performance.
- Collaborate with cross-functional teams to integrate perception modules into broader system architectures.
- Maintain thorough documentation of model architectures, experiment results, and deployment procedures.
What You Will Bring:
- Proven experience in machine learning or computer vision engineering, with a strong understanding of CNN architectures such as YOLO.
- Proficiency in C, C++, Python and familiarity with Linux-based development environments.
- Knowledge of stereo vision pipelines, depth estimation, and geometric computer vision techniques.
- Experience in optimising and deploying models to constrained hardware environments.
- A PhD or degree in Computer Science, Electrical Engineering, Mechatronics, or equivalent industry experience.
Location: This role is based onsite in Newport Shropshire, this position is commutable from Telford, Shrewsbury, Wolverhampton, Cannock and Bridgnorth.
Interested? Don't miss the chance to be part of this exciting journey. Apply today to become a Machine Learning Engineer - Robotics & Perception and help shape the future of intelligent agricultural technology!
Locations
Machine Learning Engineer - Robotics & Perception in Newport, Wales employer: Jonathan Lee
Join a pioneering company at the forefront of agricultural technology, where as a Machine Learning Engineer - Robotics & Perception, you will be part of a dynamic team dedicated to innovation and real-world impact. Located in Newport Shropshire, this role offers a collaborative work culture that prioritises continuous learning and professional growth, alongside competitive benefits and the opportunity to work on groundbreaking projects that are transforming the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Robotics & Perception in Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 machine learning and robotics. 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 common interview questions related to machine learning and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer - Robotics & Perception in Newport, Wales
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and computer vision. Use keywords from the job description, like 'image segmentation' and 'deep neural networks', to show we’re on the same page.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for agricultural technology and how your skills can contribute to our innovative projects. Keep it concise but impactful!
Showcase Relevant Projects:If you’ve worked on any projects related to robotics or perception systems, don’t hold back! Include links or descriptions of your work to give us a taste of what you can bring to the table.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at Jonathan Lee
✨Know Your Tech Inside Out
Make sure you’re well-versed in the machine learning frameworks mentioned in the job description, like PyTorch and TensorFlow. Brush up on your knowledge of CNN architectures, especially YOLO, as you might be asked to discuss how you’ve used these technologies in past projects.
✨Showcase Real-World Applications
Prepare examples of how you've applied machine learning in real-world scenarios, particularly in robotics or computer vision. Be ready to discuss specific projects where you designed and implemented machine learning pipelines, focusing on image segmentation or object detection.
✨Collaboration is Key
Since this role involves working closely with cross-functional teams, think of instances where you successfully collaborated with others. Highlight your experience in integrating perception modules into broader system architectures and how you maintained thorough documentation throughout the process.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects and future goals in agricultural technology. This shows your genuine interest in their work and helps you understand how you can contribute to their innovative journey.
