At a Glance
- Tasks: Design and implement machine learning pipelines for innovative agricultural technology.
- Company: Join a pioneering company transforming agriculture with cutting-edge robotics and perception.
- Benefits: Work on exciting projects with a supportive team in a dynamic environment.
- Other info: Located in Newport Shropshire, with excellent career growth opportunities.
- Why this job: Make a real impact in agriculture by developing intelligent systems that change the industry.
- 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 Newport employer: Jonathan Lee Recruitment
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 that support your career development. Embrace the opportunity to contribute to transformative projects while enjoying a supportive environment that values quality and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Robotics & Perception in Newport
✨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, it shows you’re genuinely interested in joining our innovative team.
We think you need these skills to ace Machine Learning Engineer - Robotics & Perception in Newport
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. If you've worked with frameworks like PyTorch or TensorFlow, let us know how you applied them in real-world scenarios.
Keep It Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for your achievements and keep your descriptions concise. This helps us quickly see your qualifications without sifting through too much text.
Apply Through Our Website:We encourage you to apply directly through our website. This ensures your application gets to the right people and makes it easier for us to process your details. Plus, it shows you're keen on joining our innovative team!
How to prepare for a job interview at Jonathan Lee Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of machine learning frameworks like PyTorch and TensorFlow. Be ready to discuss your experience with CNN architectures, especially YOLO, and how you've applied them in real-world projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, particularly around image segmentation or object detection. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your critical thinking abilities.
✨Collaborate Like a Pro
Since this role involves working closely with cross-functional teams, be ready to share examples of how you've successfully collaborated with others in the past. Discuss any experiences where you integrated perception modules into broader system architectures.
✨Document Your Journey
Emphasise the importance of documentation in your work. Be prepared to explain how you maintain thorough records of model architectures and experiment results, as this shows your attention to detail and commitment to quality.
