This CV guide shows how to write an entry-level computer vision CV tailored for the United Kingdom job market, highlighting relevant experience and helping your work stand out to recruiters. You will learn how to format your header, summarise your skills, and present projects and internships so UK employers can quickly assess your fit.
Building a Computer Vision Engineer resume?
Skip the blank page. Start with a template built for this role, then tailor it for each job you apply to.
Computer Vision Engineer CV Template
Preview the template, then edit it in JobCopy for your experience.
Tip: use the template as a starting point, then swap in your own numbers and project names.
Header and Contact
Start with a clear CV header that includes your full name, a professional UK email address, telephone number (with +44 or local UK format), and your city or region in the UK. Add links to your GitHub, LinkedIn, and a demo or portfolio page so recruiters can review code or view model outputs.
For roles in regulated sectors or healthcare, briefly indicate your right to work in the UK. Avoid including a photo or unnecessary personal details.
CV Summary or Objective
Use a 1-2 sentence summary or objective tailored to entry-level roles, and include the phrase 'entry-level computer vision CV' near the top. Focus on your strongest tools, a quick achievement, and what you want to contribute to the team.
Example: 'Recent computer science graduate with hands‑on experience building a real‑time object detection model and deploying it to a lightweight inference environment.'
Technical Skills
List relevant technical skills in a compact format grouped by category such as Programming, Frameworks, Computer Vision, and Tools. Include languages and libraries you can use confidently such as Python, OpenCV, PyTorch, TensorFlow, scikit‑learn, and tools like Git, Docker, and CUDA where applicable.
Education
Place your highest qualification first with the institution, degree, and graduation date (DD/MM/YYYY if available or expected), and the grade or classification (e.g. 2:1, First).
Add relevant coursework or a short line about a final‑year project focused on computer vision tasks such as image segmentation or real‑time detection. If your qualifications were earned in the UK, mention GCSEs and A‑levels if requested; UCAS points may be included if relevant.
If you studied at a Russell Group university or a UK‑based institution, you can note this where appropriate.
Projects (High Priority for Entry Level)
For entry‑level roles, projects often matter more than formal work history. Present 3-5 strong projects with a title, tech stack, and 2-4 concise bullet points explaining what you built, how you built it, and the result.
Examples
Internships and Work Experience
List internships and work experience in reverse chronological order. For each entry, include the role title, employer, location, and dates (DD/MM/YYYY - DD/MM/YYYY).
Add 2-4 bullet points describing responsibilities and outcomes, emphasising transferable skills, collaboration, and impact. If you have no paid work, include voluntary work and significant university projects.
For healthcare roles, reference NHS pay bands where relevant and ensure you state your right to work in the UK.
Additional Tips
- 1Keep the CV to one page for most early‑career applicants unless you have extensive internship history or multiple research outputs, and use a clear font on A4 with comfortable margins (roughly 2 cm).
- 2Where possible, include links to live demos and a short project video to show results without requiring an interview or code execution.
- 3Use consistent tense and clear verbs, past tense for completed work and present tense for current projects; check chronology and avoid tense shifts within bullets.
- 4Practice describing each project in around two minutes, focusing on the problem, your approach, and the outcome so you can answer questions confidently in interviews.