At a Glance
- Tasks: Develop intelligent systems for agriculture using machine learning and robotics.
- Company: Innovative company transforming the agricultural sector with cutting-edge technology.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Onsite role in Newport Shropshire with great commuting options.
- Why this job: Make a real impact in agriculture while working with advanced technologies.
- Qualifications: Experience in machine learning, computer vision, and programming skills in C, C++, and Python.
The predicted salary is between 45000 - 60000 £ 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 revolutionizing 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.
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.
Machine Learning Engineer - Robotics & Perception. Job in Chetwynd Aston LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a pioneering company at the forefront of agricultural technology, where your role as a Machine Learning Engineer - Robotics & Perception will not only advance your career but also contribute to sustainable farming practices. With a collaborative work culture that fosters innovation and professional growth, you'll have access to cutting-edge resources and the opportunity to work alongside experts in robotics and machine learning. Located in Newport Shropshire, this position offers a vibrant community and easy commutes from nearby towns, making it an ideal place for those seeking meaningful employment in a dynamic environment.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Robotics & Perception. Job in Chetwynd Aston LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, 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 technical questions and practical scenarios. Practice explaining your past projects and how they relate to the role you're applying for. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our innovative team.
We think you need these skills to ace Machine Learning Engineer - Robotics & Perception. Job in Chetwynd Aston LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with machine learning pipelines, image segmentation, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about robotics and perception in agriculture. Share specific examples of your work that demonstrate your expertise and enthusiasm for the field. Let us know why you want to join our innovative team!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in C, C++, and Python, as well as your experience with frameworks like PyTorch and TensorFlow. We’re keen to see how you’ve applied these skills in real-world scenarios, so be specific about your achievements!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨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 Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in machine learning or computer vision projects. Think about how you designed and implemented solutions, particularly in areas like image segmentation or object detection. Real-world examples will help demonstrate your expertise.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with engineers from different disciplines. Highlight any successful projects where teamwork was key to achieving results, especially in integrating perception modules into broader systems.
✨Document Your Journey
Emphasise the importance of thorough documentation in your work. Be prepared to explain how you maintain records of model architectures, experiment results, and deployment procedures. This shows that you value clarity and organisation, which is crucial in a collaborative environment.
