At a Glance
- Tasks: Design and implement machine learning pipelines for innovative agricultural technology.
- Company: Join a pioneering company transforming agriculture with cutting-edge tech.
- Benefits: Work on impactful projects with a talented team in a supportive environment.
- Other info: Onsite role in Newport Shropshire with excellent career growth opportunities.
- Why this job: Make a real difference in agriculture while advancing your career in tech.
- 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 revolutionising the way agriculture operates at their UK R and D facility. As a Machine Learning Engineer, 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.
How to Apply
Interested? Don’t miss the chance to be part of this exciting journey. Apply today to become a Machine Learning Engineer and help shape the future of intelligent agricultural technology.
Machine Learning Engineer : Robotics and Perception in Newport-On-Tay employer: TipTopJob
Join a pioneering company at the forefront of agricultural technology, where as a Machine Learning Engineer: Robotics and 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.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer : Robotics and Perception in Newport-On-Tay
✨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 computer vision. 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! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Machine Learning Engineer : Robotics and Perception in Newport-On-Tay
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 that showcase your skills in C, C++, and Python.
Showcase Your Projects:Include specific examples of projects you've worked on, especially those involving deep neural networks or computer vision. This gives us a clear picture of your hands-on experience and how you can contribute to our innovative team.
Be Clear and Concise:When writing your application, keep it clear and concise. We appreciate straightforward communication, so avoid jargon and get straight to the point about your skills and experiences.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in agricultural technology.
How to prepare for a job interview at TipTopJob
✨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 previous roles, particularly related to image segmentation or object detection. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled these issues effectively.
✨Demonstrate Collaboration Experience
Since this role involves working with cross-functional teams, be ready to share examples of how you’ve collaborated with engineers from different disciplines. Talk about any successful projects where teamwork was key to achieving results, especially in robotics or embedded systems.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s innovative projects and their impact on agriculture. Inquire about their current challenges in deploying machine learning models or how they envision the future of intelligent agricultural technology. This will demonstrate your enthusiasm and forward-thinking mindset.
