Vision Systems Engineer
What You\u0027ll Do...
We are seeking a highly skilled and motivated senior vision systems engineer to join our dynamic team in the battery manufacturing industry. The successful candidate will be responsible for designing, development, implementation and maintaining vision systems for automate inspection, measurement, and quality control in battery production processes
What You\u0027ll Do...
We are seeking a highly skilled and motivated senior vision systems engineer to join our dynamic team in the battery manufacturing industry. The successful candidate will be responsible for designing, development, implementation and maintaining vision systems for automate inspection, measurement, and quality control in battery production processes
The ideal candidate will have a passion for automation and machine vision, with a strong background in engineering and hands\u0027on experience with vision system integration in a manufacturing environment. The Vision Systems Engineer will be proactive, collaborative, and capable of solving complex technical challenges while maintaining a focus on quality, efficiency, and innovation.
Who We Are...
Agratas is a wholly owned subsidiary of Tata Sons. We will design, develop and manufacture high\u0027quality, high\u0027performance, sustainable batteries for the mobility and energy sectors. We are a scale\u0027up business with a start\u0027up mentality and the backing of a well\u0027established parent company. The UK business headquarters is in the Midlands and we are currently building a battery manufacturing facility in Bridgwater, Somerset.
The team you\u0027ll join...
The Process Engineering team is a dynamic group working across a range of areas such as electrode, cell assembly, FA\&T (formation, ageing and testing), control and automation, manufacturing systems, digital manufacturing, process safety and logistics engineering. Being a relatively new team, you\u0027ll play a critical part in creating processes and help building large scale manufacturing lines from the ground up.
What You\u0027ll Bring...
- Extensive knowledge of machine vision technologies, including camera systems, lighting, optics, and image processing tools (OpenCV, MATLAB, Halcon, etc.).
- Proficiency in programming languages such as Python, C\++, and familiarity with machine learning libraries for vision system applications.
- Experience in integrating vision systems into automated manufacturing environments, ideally in high\u0027precision industries such as battery production or electronics.
- Familiarity with smart manufacturing solutions, machine learning, IoT, and AI\u0027driven vision technologies is a plus.
- Bachelor\u0027s or Master\u0027s degree in Electrical Engineering, Computer Vision, Robotics, Mechatronics, or a related field.
- Experience in manufacturing environments or automated inspection systems is strongly preferred.
What You\u0027ll Get...
As a new company, our reward scheme is constantly evolving. We continue to review the market to deliver a competitive benefits package, which currently includes private healthcare, car allowance, company bonus, enhanced parental leave policy and a cash allowance to boost your benefits. We are a flexible business that is committed to promoting work\u0027life balance, partnering with Yulife to provide our team members with total wellbeing support.
You\u0027ll work in a rapidly scaling\u0027up environment as a subsidiary of the multinational corporation, Tata Sons, to help build the UK\u0027s biggest battery manufacturing facility and make your mark in a new organisation.
Agratas is a place to be authentically you.
At Agratas we strongly believe that people are at their best when they feel supported and happy in their workplace. To that end we continue to cultivate a diverse workforce which protects the individuality of each team member. We therefore warmly welcome applicants from any race, gender, sexuality, and ability. Should you have a preference in how your suitability is assessed for this role or require any reasonable adjustments please let the Talent Acquisition team know.
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