Machine Vision Internship Paid AI OpportunityConsidering making an application for this job Check all the details in this job description, and then click on Apply.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 deploymentideal for someone excited by the intersection of hardware, data, and intelligent systemLocation: UK-based mix of office, lab, and fieldwork (5 days per week)Salary: 30,000 pro rataDuration: 23 months, with flexible start date (potential to extend)Requirements for Machine Vision InternConsistent top academics and studying/studied for a degree in STEM subject such as Computer Science, Engineering, or Data ScienceSolid Python skills and a comfort working with technical systemsYou should have strong knowledge in Computer Vision (i.e. dissertation project, several modules etc)Interest in robotics, or intelligent sensingAttention to detail when working with large volumes of dataComfortable setting up and testing physical equipment (e.g. cameras or development boards)Strong communication skills and a proactive, team-focused mindsetUK 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 InternSupporting the set-up and testing of sensor equipment and mobile platformsCapturing and managing image and video data from a variety of environmentsHelping prepare data for use in training machine learning modelsWriting scripts to automate parts of the data pipeline or assist with visualisationCollaborating with experienced engineers across software, hardware, and AI domainsKeeping clear documentation of tests and processesWhat the role offers:Working for a leading software company who have a fantastic track record of successfully hiring and training graduatesA likelihood if the internship goes well, future opportunities will arisePaid work experience on impactful, real-world AI projectsExposure to a fast-moving tech start-up environmentA close-knit team wholl help you build both technical and professional skillsThe opportunity to see your work used in active deploymentsA standout experience for your CV if youre interested in a future in applied AIApplications: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 applications@redtech-recruit.com (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 isnt 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.Keywords BSc / MSc / BA / MA / Junior Developer / Graduate Developer /Computer Science / Mathematics / Software Engineering / Machine Vision / Internship / AI Intern / Robotics Internship / Python Developer / Vision Systems / Sensor Integration / Embedded AI / Summer Internship / Computer Vision Student / Applied AI / Data Science Intern / Imaging / Autonomous Systems / Computer Science / Engineering / MSc AI / Real-World AI / CV Annotation / Edge AI / Tech Intern UK 2025
Job Title
Machine Vision Intern