At a Glance
- Tasks: Design and implement machine learning pipelines for robotics in agriculture.
- 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 on agriculture using advanced machine learning and robotics.
- Qualifications: Experience in machine learning, computer vision, and proficiency in C, C++, Python.
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 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 and Perception Systems. Job in Chetwynd Aston LilyLifestyl[...] employer: United Cerebral Palsy of Georgia
Join a forward-thinking company at the forefront of agricultural technology, where your role as a Machine Learning Engineer will not only challenge you but also allow you to contribute to meaningful advancements in the industry. Located in Newport Shropshire, our R&D facility fosters a collaborative and innovative work culture, offering ample opportunities for professional growth and development. With a focus on cutting-edge projects and a supportive team environment, we are committed to empowering our employees to make a real impact in the world of robotics and perception systems.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Robotics and Perception Systems. Job in Chetwynd Aston LilyLifestyl[...]
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and robotics. We recommend including code samples, project descriptions, and any relevant results to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and practical scenarios. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your experience and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We have loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications this way!
We think you need these skills to ace Machine Learning Engineer - Robotics and Perception Systems. Job in Chetwynd Aston LilyLifestyl[...]
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 systems. Share specific examples of your work that relate to the job description, and 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!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy!
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 specific technologies mentioned in the job description, like PyTorch, TensorFlow, and CNN architectures such as YOLO. Brush up on your knowledge of stereo vision pipelines and depth estimation techniques, as these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving machine learning pipelines or real-time deep neural inference. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Collaborate Like a Pro
Since this role involves working closely with cross-functional teams, be prepared to talk about your collaboration experiences. Share examples of how you’ve successfully integrated different modules or worked with engineers from other disciplines. Highlighting your teamwork skills can set you apart.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the company’s projects or future directions in agricultural technology. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
