At a Glance
- Tasks: Design and implement machine learning pipelines for cutting-edge agricultural technology.
- Company: Innovative company transforming agriculture with intelligent systems.
- Benefits: Work on exciting projects with a supportive team in a dynamic environment.
- Other info: Onsite role in Newport Shropshire with excellent career growth opportunities.
- Why this job: Make a real impact in agriculture while developing your skills in machine learning.
- Qualifications: Experience in machine learning, computer vision, and proficiency in C, C++, 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 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.
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.
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.
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!
Machine Learning Engineer - Robotics & Perception in Shrewsbury employer: Jonathan Lee Recruitment Ltd
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 the opportunity to work on cutting-edge projects that are transforming the industry. With a focus on quality and meaningful contributions, this is an excellent employer for those looking to make a difference in the agricultural sector.
Contact Detail:
Jonathan Lee Recruitment Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Robotics & Perception in Shrewsbury
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, 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 love seeing real-world applications of your work, so make sure to highlight your achievements.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and practical scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals ready to make an impact in the agricultural tech space.
We think you need these skills to ace Machine Learning Engineer - Robotics & Perception in Shrewsbury
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!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Include specific examples of how you've used C, C++, or Python in your previous roles. We love seeing real-world applications of your expertise, especially in robotics and perception.
Keep It Clear and Concise:When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point—this shows us you can communicate effectively!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Don’t miss out on this opportunity to join our innovative team!
How to prepare for a job interview at Jonathan Lee Recruitment Ltd
✨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 these will likely come up during technical discussions.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and implemented machine learning pipelines. 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.
✨Understand the Agricultural Context
Familiarise yourself with how machine learning is applied in agriculture. Research current trends and technologies in the sector, so you can speak intelligently about how your skills can contribute to the company’s mission of revolutionising agricultural practices.
✨Collaborate and Communicate
Since the role involves working closely with cross-functional teams, be prepared to discuss your collaboration experiences. Highlight how you’ve effectively communicated complex technical concepts to non-technical team members, showcasing your ability to work in a team-oriented environment.
