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- 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 on the future of agriculture through advanced technology.
- Qualifications: Experience in machine learning, computer vision, and proficiency in C, C++, Python.
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 employer: Jonathan Lee Recruitment Ltd
Contact Detail:
Jonathan Lee Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Robotics & Perception
✨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 and coding challenges relevant to machine learning and computer vision to boost your confidence.
✨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 and contributing to the future of agricultural technology.
We think you need these skills to ace Machine Learning Engineer - Robotics & Perception
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: When writing your application, clarity is key. Use straightforward language and avoid jargon unless it's necessary. We appreciate a well-structured application that gets straight to the point without fluff!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. Make sure to include all the required information, like your name, email, and location, so we can process your application smoothly!
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 latest machine learning frameworks like PyTorch and TensorFlow. Brush up on your understanding 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. Real-world examples will make you stand out!
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with robotics and systems engineers. Highlight any successful teamwork experiences that demonstrate your ability to integrate perception modules into broader system architectures.
✨Document Your Journey
Emphasise the importance of maintaining thorough documentation in your previous roles. Discuss how you’ve documented model architectures, experiment results, and deployment procedures, as this shows your attention to detail and commitment to quality.