At a Glance
- Tasks: Design and develop software for cutting-edge industrial vision systems.
- Company: Join Bytronic, a leader in machine vision and automation technology.
- Benefits: Competitive salary, hybrid working options, and opportunities for professional growth.
- Other info: Dynamic work environment with exciting projects in AI and robotics.
- Why this job: Make a real impact by solving complex production challenges with innovative tech.
- Qualifications: 3 years of software engineering experience, strong Python skills, and teamwork abilities.
The predicted salary is between 35000 - 35000 £ per year.
Salary: £35,000 - £35,000 per year
Requirements:
- At least 3 years of software engineering experience, or equivalent practical capability.
- Strong Python development experience with the ability to write structured, maintainable and reliable code.
- Experience with Python development environments, including virtual environments, pip dependency management and reproducible project setup.
- Good working knowledge of OpenCV and practical image processing techniques.
- Experience working with image data, numpy arrays, tensors, metadata outputs and structured numerical data.
- Ability to handle file I/O, image datasets, JSON/YAML configuration files and software settings in a clear and maintainable way.
- Understanding of object-detection model workflows, including dataset preparation, annotation quality, training, validation, testing and export for deployment.
- Experience preparing labelled datasets for training, including train/validation/test splits and checking label quality.
- Experience using annotation tools such as Label Studio, CVAT, Roboflow or comparable platforms.
- Working knowledge of PyTorch or similar deep learning frameworks, including model loading, inference, checkpoint handling and interpreting model outputs.
- Ability to interpret model results such as confidence scores, bounding boxes, class outputs, tensors and detection metadata.
- Understanding of software development principles, debugging, code structure and version control.
- Strong problem-solving skills and a practical engineering mindset.
- Good communication skills and the ability to work effectively within a multidisciplinary engineering team.
- Willingness to work on real industrial applications, not just pure software products.
- UK work authorisation.
- A full driving licence and the ability to travel to customer sites.
- A Masters degree in Software Engineering, Computer Science, Electronic Engineering, Mechatronics, Robotics, AI, Computer Vision or a related discipline, or equivalent practical experience is preferred.
- A Bachelors degree.
- Software work experience of 3 years.
- A Driving Licence.
Responsibilities:
- Design, develop, test and support software for industrial vision inspection and automation systems.
- Develop software that captures images, processes inspection data and interprets model outputs.
- Build and maintain Python-based tools and applications for vision and AI inspection workflows.
- Develop user interfaces, HMIs, configuration tools, application logic, data handling and reporting functions.
- Work with image datasets, labelled data, model outputs, confidence scores, bounding boxes and inspection metadata.
- Support the preparation, training, validation, testing and export of object-detection models for deployment.
- Use OpenCV and related libraries for image processing, inspection support and diagnostic tooling.
- Work on software that interfaces with cameras, sensors, industrial PCs, databases, PLCs, HMIs and industrial hardware.
- Assist with integrating AI model outputs into complete inspection systems used on customer production lines.
- Support debugging, validation, commissioning and performance optimisation.
- Collaborate with software, vision, controls and project engineers to define requirements and deliver reliable project outcomes.
- Produce clear technical documentation for software design, testing, deployment and support.
- Contribute to coding standards, software structure, reusable modules and development processes.
- Support fault-finding and problem-solving during internal testing and customer deployment.
- Take ownership of allocated tasks and deliver them to agreed timescales and quality standards.
Technologies:
- AI
- Computer Vision
- Hardware
- Support
- JSON
- PyTorch
- Python
- Robotics
- numpy
- opencv
- Ethernet
- PLC
- TCP/IP
We are Bytronic, an innovative engineering and technology business specialising in machine vision, automation, AI-enabled inspection and industrial software solutions. We work with leading manufacturers and global brands across food, automotive, logistics and industrial manufacturing to solve complex production and quality challenges with advanced real-world technology. Our systems combine software, cameras, sensors, AI models, robotics, industrial PCs, databases, HMIs and factory systems in demanding production environments. This is a primarily in-person role based in Bromsgrove, with hybrid working potentially available depending on project requirements and experience. We offer the chance to work on meaningful projects, build software used on real production lines, and grow within a business with strong ambitions in automation, AI and machine vision.
Software Engineer in Bromsgrove employer: Bytronic Vision Automation
Bytronic is an exceptional employer that fosters a collaborative and innovative work culture, where software engineers can thrive while tackling real-world challenges in machine vision and automation. Located in Bromsgrove, we offer competitive salaries, opportunities for professional growth, and the chance to work on impactful projects that integrate cutting-edge technology in demanding production environments. Join us to be part of a forward-thinking team dedicated to excellence in AI-enabled inspection and industrial software solutions.
Contact Details:
Bytronic Vision Automation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer in Bromsgrove
✨Join Local Tech Meetups
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We think you need these skills to ace Software Engineer in Bromsgrove
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Bytronic Vision Automation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Bytronic Vision Automation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Bytronic Vision Automation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Bytronic Vision Automation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
