National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Vision Internship – Paid AI Opportunity

Saffron Walden
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Senior TypeScript Backend Software Engineer

Solutions Architect (AI)

IIoT/OT Solution Architect

Data Science Engineer

Machine Learning Research Engineer

Machine Vision Internship – Paid AI Opportunity

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

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

  • 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)

  • 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'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 (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.

    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
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Find Hidden Edge Computing Jobs in the UK Using Professional Bodies like BCS, IET & More

Edge computing is reshaping the way data is processed and delivered across industries—from real-time IoT in manufacturing to low-latency systems in healthcare, defence, and smart cities. With its growing influence, demand for UK-based edge computing professionals is rising rapidly. But here’s what most job seekers don’t realise: many edge computing jobs aren’t listed on public job boards. Instead, they’re shared through private networks, CPD events, special interest groups, and technical communities. In this guide, we’ll show you how to access these hidden job opportunities by engaging with professional bodies like the BCS, IET, TechUK, and niche edge computing communities. We’ll explore how to use directories, events, and collaborative ecosystems to position yourself at the front of the queue—before roles even go live.

How to Get a Better Edge Computing Job After a Lay-Off or Redundancy

Being made redundant from an edge computing role can feel like a serious setback—especially in a field as specialised and rapidly evolving as distributed computing. But edge computing remains a key growth area in the UK tech economy, with applications in autonomous vehicles, manufacturing, smart cities, telecoms, and defence. Whether you’re a cloud-edge integration engineer, embedded systems developer, IoT specialist, or network architect, there are real opportunities to reposition your career after redundancy. This guide offers a practical UK-focused plan to help you relaunch your career with confidence.

Edge Computing Jobs Salary Calculator 2025: Work Out Your True Worth in Seconds

Why last year’s pay survey misleads edge‑computing professionals today Ask an Edge Software Engineer debugging container images on a factory floor, an IoT Solutions Architect jostling latency and security, or a DevOps Lead deploying micro‑VMs on 5G towers: “Am I earning what I deserve?” The answer changes faster than the firmware you flashed last sprint. Retail chains move inferencing to store servers, autonomous vehicle start‑ups hoard FPGA talent, telcos monetise network slices, & every new use‑case nudges salary bands. A PDF survey printed in 2024 is already fossilised—missing the GPU shortages, fresh EU edge‑security directives, and the UK government’s Zero‑Carbon Edge computing grants that landed this spring. To give professionals an up‑to‑date benchmark, EdgeComputingJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority, and you’ll get a defensible figure—no stale averages, no guesswork. This article unpacks the formula, spotlights six forces driving pay higher, and lays out five practical moves to boost your market value within ninety days.