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For Companies At a Glance
- Tasks: Get hands-on with sensor equipment, data collection, and machine learning projects.
- Company: Join a dynamic UK-based AI start-up leading in machine vision technology.
- Benefits: Enjoy a paid internship, flexible hours, and potential for future opportunities.
- Why this job: Work on impactful AI projects in a supportive team environment that boosts your CV.
- Qualifications: Must be studying a STEM degree with strong Python and computer vision skills.
- Other info: Fieldwork required; UK driving licence needed for this role.
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: UK-based – 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)
- Must be 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)
Responsibilities for Machine Vision Intern:
- 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
What the role offers:
- 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
Applications:
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 applications@redtech-recruit.com.
Locations
Machine Vision Intern employer: RedTech Recruitment
Contact Detail:
RedTech Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Vision Intern
✨Tip Number 1
Familiarise yourself with the latest trends in machine vision and AI. This will not only help you during interviews but also show your genuine interest in the field, making you a more attractive candidate.
✨Tip Number 2
Engage with online communities or forums related to machine vision and robotics. Networking with professionals in these spaces can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss any relevant projects or coursework that demonstrate your Python skills and understanding of computer vision. Be ready to explain your thought process and the outcomes of your work.
✨Tip Number 4
If you have access to any hardware or sensor equipment, practice setting it up and testing it. Being hands-on will give you confidence and practical experience that can set you apart from other candidates.
We think you need these skills to ace Machine Vision Intern
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your academic achievements, particularly in STEM subjects. Include relevant projects or modules related to machine vision, Python programming, and any hands-on experience with sensors or robotics.
Showcase Relevant Skills: Emphasise your solid Python skills and any experience you have with computer vision. Mention specific projects or coursework that demonstrate your knowledge and interest in robotics and intelligent sensing.
Craft a Strong Cover Letter: Write a cover letter that expresses your enthusiasm for the internship and outlines how your background aligns with the responsibilities of the role. Highlight your proactive mindset and teamwork abilities, as well as your attention to detail.
Prepare for Potential Interviews: Be ready to discuss your technical skills and past experiences in detail. Think about examples where you've worked with data, set up equipment, or collaborated on projects. This will help you stand out during the interview process.
How to prepare for a job interview at RedTech Recruitment
✨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 coursework that reflect your interest in robotics or intelligent sensing, as this will show your genuine commitment to the field.
✨Prepare for Practical Questions
Since the role involves hands-on sensor deployment and testing, be ready to answer practical questions about setting up and managing physical equipment. Familiarise yourself with common challenges in this area and think about how you would approach them.
✨Emphasise Teamwork and Communication Skills
The internship requires collaboration with experienced engineers, so it's crucial to demonstrate your strong communication skills and proactive mindset. Share examples of how you've successfully worked in teams and contributed to group projects.
