Computer Vision Engineer + Co-Founder (Hiring Immediately)

Ediscene
London
1 month ago
Applications closed

Related Jobs

View all jobs

Computer Vision Development Engineer

Python - ML/Computer Vision Engineer

Machine Learning Engineer - Computer Vision

Senior Machine Learning Engineer - Computer Vision

Machine Learning Engineer

Machine Learning Engineer

Co-Founder (Computer Vision Expert) – AI-Powered Innovation in Stock Imagery


About Us

We’re building an AI-driven platform that will transform how people interact with stock imagery. Our vision is to create a tool that allows users to seamlessly edit and customise images, without the need for complex software.

To bring this to life, we’re looking for aComputer Vision Engineertojoin as a Co-Founder, working alongside a highly experienced CEO and CTO (both with 20 years in world-leading tech companies). This is a rare opportunity toshape the technology from the ground upand redefine the future of imagery.


The Role

As aCo-Founder (Part-Time, Equity Role), you’ll take the lead in developing the AI-powered image editing technology at the heart of our platform. Your expertise incomputer vision, deep learning, and generative AIwill drive the innovation that sets us apart in the £20bn stock imagery market.


What You’ll Do

✅ Architect, develop and build cutting-edge AI for image segmentation, object manipulation, and neural rendering.

✅ Build and optimise deep learning models using TensorFlow, PyTorch, OpenCV, and similar frameworks.

✅ Create a seamless, intuitive image editing experience for users.

✅ Collaborate with the CEO & CTO to define and execute the product roadmap.

✅ Help shape the technical direction of the company as a founding member.


What We’re Looking For

✔️ 8+ years of experience in Computer Vision, AI, or Machine Learning.

✔️ Expertise inimage segmentation, GANs, neural rendering, or scene understanding.

✔️ Proficiency inPython, OpenCV, TensorFlow, PyTorch, or similar frameworks.

✔️ Passion for AI-driven creativity and a desire tobuild something from the ground up.

✔️ A startup mindset—comfortable in a fast-moving, high-impact environment.


Why Join Us?

Be a Co-Founder– Help build and own a game-changing AI startup.

Equity Opportunity– Significant upside potential as we scale.

Work with the best– Join a team with deep experience in world-class tech companies.

Flexible & Remote– Work part-time with a long-term vision.


Interested? Let’s talk!

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.