Manako Labs
Computer Vision Intern

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Company Description
Manako is a Vision Agent platform that turns existing cameras into real-time, automated decision-making tools. The platform allows organizations to describe what they need, then Manako creates and deploys Vision Agents that act on what they see without requiring new hardware. This approach removes the need for dedicated engineers or complex coding, making advanced computer vision accessible and practical. Manako focuses on real-time, actionable insights, helping customers streamline operations and improve responsiveness through computer vision.
Role Description
The Computer Vision Intern will collaborate closely with engineers and product teams to develop and improve Vision Agents in a full-time capacity. Daily tasks include:
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
- Implementing and testing computer vision models
- Preprocessing and annotating image and video data
- Evaluating model performance in real-world scenarios
- Integrating models into the Vision Agent platform
- Debugging issues related to deployment on camera feeds
- Documenting technical findings and workflows
- Researching state-of-the-art methods in computer vision
- Contributing to prototypes
- Supporting internal knowledge sharing through presentations or technical notes
Qualifications
- Programming skills in languages commonly used for computer vision and machine learning (Python, C++...), including familiarity with relevant libraries and frameworks.
- Basic hardware-interfacing skills, such as understanding how cameras and edge devices operate within a vision pipeline.
- Teaching or mentoring abilities, including clear technical communication, documentation, and a willingness to share knowledge with teammates.
- Foundational knowledge of computer vision concepts (image processing, object detection, tracking) and machine learning basics.
- Currently pursuing or recently completed a degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.


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