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- Tasks: Dive into real-world projects involving data collection and sensor deployment.
- Company: Join a growing UK-based AI start-up at the forefront of machine vision.
- Benefits: Enjoy paid experience, flexible hours, and potential future opportunities.
- Why this job: Gain hands-on experience in a fast-paced tech environment with a supportive team.
- Qualifications: Must be studying a STEM degree with strong Python and computer vision skills.
- Other info: Position requires UK driving licence and security clearance eligibility.
A brilliant opportunity for a current undergraduate or postgraduate student to gain hands-on experience at a growing UK-based AI start-up working at the forefront of machine vision. This internship offers the chance to get stuck into real-world projects involving data collection, software tooling, and hands-on sensor deployment—ideal for someone excited by the intersection of hardware, data, and intelligent systems.
Location: Saffron Walden– mix of office, lab, and fieldwork (5 days per week)
Salary: £30,000 pro rata
Duration: 2–3 months, with flexible start date (potential to extend)
Requirements for Machine Vision Intern:- Consistent top academics and studying/studied for a degree in STEM subject such as Computer Science, Engineering, or Data Science
- Solid Python skills and a comfort working with technical systems
- Strong knowledge in Computer Vision (i.e. dissertation project, several modules etc)
- Interest in robotics, or intelligent sensing
- Attention to detail when working with large volumes of data
- Comfortable setting up and testing physical equipment (e.g. cameras or development boards)
- Strong communication skills and a proactive, team-focused mindset
- UK driving licence and access to a vehicle (due to the field-based nature of the role)
- In a position to qualify for UK security clearance (this usually means you have been a UK citizen for the past 5 years, have a clean criminal record etc)
- Supporting the set-up and testing of sensor equipment and mobile platforms
- Capturing and managing image and video data from a variety of environments
- Helping prepare data for use in training machine learning models
- Writing scripts to automate parts of the data pipeline or assist with visualisation
- Collaborating with experienced engineers across software, hardware, and AI domains
- Keeping clear documentation of tests and processes
- Working for a leading software company who have a fantastic track record of successfully hiring and training graduates
- A likelihood if the internship goes well, future opportunities will arise
- Paid work experience on impactful, real-world AI projects
- Exposure to a fast-moving tech start-up environment
- A close-knit team who’ll help you build both technical and professional skills
- The opportunity to see your work used in active deployments
- A standout experience for your CV if you’re interested in a future in applied AI
If you would like to apply for this unique Internship opportunity, please send an up-to-date CV via the relevant link, ensuring your academic achievements are included on your CV.
We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by emailing.
Machine Vision Internship – Paid AI Opportunity employer: RedTech Recruitment Ltd
Contact Detail:
RedTech Recruitment Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Vision Internship – Paid AI Opportunity
✨Tip Number 1
Make sure to showcase your hands-on experience with hardware and software in your conversations. If you've worked on projects involving sensor deployment or data collection, be ready to discuss these in detail during interviews.
✨Tip Number 2
Network with professionals in the AI and machine vision fields. Attend relevant meetups or online webinars to connect with people who might provide insights or even referrals for the internship.
✨Tip Number 3
Prepare to demonstrate your Python skills practically. You might be asked to solve a problem or write a script during the interview, so practice coding challenges that relate to data processing or automation.
✨Tip Number 4
Familiarise yourself with the latest trends in machine vision and AI. Being able to discuss current technologies or breakthroughs can set you apart and show your genuine interest in the field.
We think you need these skills to ace Machine Vision Internship – Paid AI Opportunity
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements, particularly in STEM subjects. Emphasise any relevant projects or modules related to machine vision, computer vision, or robotics.
Showcase Technical Skills: Clearly outline your Python skills and any experience you have with technical systems. Mention specific projects where you've applied these skills, especially in relation to data collection or sensor deployment.
Express Your Interest: In your application, convey your enthusiasm for the intersection of hardware, data, and intelligent systems. Discuss why you're excited about the opportunity to work in a fast-moving tech start-up environment.
Highlight Teamwork and Communication: Demonstrate your strong communication skills and proactive mindset by providing examples of past teamwork experiences. This will show that you can collaborate effectively with engineers across various domains.
How to prepare for a job interview at RedTech Recruitment Ltd
✨Showcase Your Technical Skills
Make sure to highlight your solid Python skills and any relevant projects you've worked on, especially those related to computer vision. Be prepared to discuss specific examples of how you've applied these skills in real-world scenarios.
✨Demonstrate Your Passion for AI and Robotics
Express your enthusiasm for the intersection of hardware, data, and intelligent systems. Share any personal projects or experiences that showcase your interest in robotics or intelligent sensing, as this will resonate well with the interviewers.
✨Prepare for Practical Questions
Since the role involves hands-on sensor deployment and testing, be ready to answer practical questions about setting up and testing physical equipment. Familiarise yourself with common tools and techniques used in machine vision to demonstrate your readiness for the role.
✨Emphasise Teamwork and Communication Skills
Highlight your strong communication skills and proactive mindset. Discuss experiences where you've collaborated with others, particularly in technical settings, as this internship will require working closely with experienced engineers across various domains.
