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- Tasks: Develop cutting-edge image and video generation capabilities in a fully remote role.
- Company: Join a leading AI organisation focused on ethics and user privacy.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Why this job: Be at the forefront of technology, shaping the future of gaming and creative expression.
- Qualifications: 3+ years experience with generative vision models and proficiency in Python.
- Other info: Work in a dynamic team with excellent career advancement opportunities.
The predicted salary is between 72000 - 84000 £ per year.
We are working with a leading AI organisation who offer a unique and personalised gaming and role playing reality. They aim to push the boundaries of technology whilst focusing on ethics and user privacy.
As an AI Vision Engineer, you'll play a pivotal role in developing cutting-edge image and video generation capabilities. You'll work hands-on with generative models and computer vision systems, shipping production-ready features that elevate user engagement and creative expression.
What You'll Do
- Collaborate cross-functionally with AI engineers, product teams, and creators to shape and deliver new visual AI features.
- Fine-tune diffusion-based models using techniques such as DreamBooth, LoRA, or textual inversion to embed novel concepts.
- Enhance and scale our image and video generation pipelines using state-of-the-art computer vision and generative modeling techniques.
- Design and implement advanced prompt engineering and conditioning strategies to ensure consistent, high-quality visual outputs.
- Evaluate and integrate open-source models such as Stable Diffusion, VideoCrafter, ModelScope, and Hunyuan.
- Build internal tools and libraries to streamline dataset preparation, experimentation, and quality control workflows.
Technical Skills:
- Bachelor's or higher degree in Computer Science, Mathematics, Physics, or a related field.
- 3+ years of hands-on experience with generative vision models (e.g. Stable Diffusion, GANs, LoRA, DreamBooth, or video diffusion models).
- Proficient in Python, with practical experience using libraries such as PyTorch, Hugging Face Diffusers, Pillow, OpenCV.
- Solid software engineering practices - modular code, testing, version control (e.g. Git), and collaborative development workflows.
- Experience working in cloud-based environments such as AWS or GCP for model training, experimentation, and data processing.
Please note, some work will include NSFW images and videos.
Desired Skills and Experience:
- Computer Vision
- Diffusion
- GAN
- LoRA
Computer Vision Engineer in London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to generative models and computer vision. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and coding challenges relevant to AI and computer vision. Practising with mock interviews can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Computer Vision Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computer Vision Engineer role. Highlight your experience with generative models and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include links to your GitHub or any portfolio showcasing your work with Python, PyTorch, or other relevant libraries. This gives us a chance to see your coding style and the projects you're passionate about.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this role and how you can contribute to our team. Be genuine and let your personality shine through – we love to see enthusiasm!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It streamlines the process and ensures your application lands in the right hands. We can't wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your Tech Inside Out
Make sure you’re well-versed in the generative models mentioned in the job description, like Stable Diffusion and GANs. Brush up on your Python skills and be ready to discuss how you've used libraries like PyTorch and OpenCV in your past projects.
✨Showcase Your Collaboration Skills
Since the role involves working cross-functionally, prepare examples of how you've successfully collaborated with AI engineers or product teams. Highlight any specific projects where teamwork led to innovative solutions or improved outcomes.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with diffusion-based models and prompt engineering. Practice explaining complex concepts in a simple way, as this will demonstrate your understanding and communication skills.
✨Discuss Ethical Considerations
Given the focus on ethics and user privacy, be prepared to discuss how you approach these issues in your work. Share any experiences where you had to balance innovation with ethical considerations, especially in AI and computer vision.
