Machine Vision Intern

Machine Vision Internship

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 system.

Our client values those with absolute top academics - therefore, requires a 2.1 or 1st from internationally renowned university and all A's at A-Level (or international equivalent).

Due to the nature of some client projects, you must be willing and eligible to obtain DV Security Clearance. This generally requires a long-term UK residency history (typically 10+ years) and the ability to pass government security vetting. You can join the team and work on other commercial projects while your clearance application is progressing.

Location: North Uttlesford / Greater Cambridge Area – 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 a STEM subject such as Computer Science, Engineering, or Data Science
  
• Solid Python skills and a comfort level working with technical systems
  
• You should have 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)
  
• Due to the nature of some projects, you 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 that’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're 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 Show email (if this email address has been removed by the job board, full details for contact are available on our website).

RedTech Recruitment Ltd focus on finding roles for people leaving STEM academia and entering industry. Even if the above role isn’t of interest, please visit our website to see our other opportunities.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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