Computer Vision Engineer

Harnham; England; Remote; GBP 35,000 - 46,000; Full time

Job summary

A leading AI organization is seeking a Computer Vision Engineer who will develop innovative image and video generation capabilities, leveraging cutting-edge technology in a fully remote setup. This role requires collaboration with AI teams and a robust understanding of generative models, ensuring high-quality outputs while maintaining user privacy and ethics.

Qualifications

• 3+ years of experience in generative vision models required.
• Experience in Python and libraries like PyTorch essential.
• Solid software engineering practices including version control.

Responsibilities

• Develop image and video generation capabilities using generative models.
• Collaborate on new visual AI features with cross-functional teams.
• Implement advanced model techniques for consistent visual outputs.

Skills

Computer Vision

Generative Models

AI Collaboration

Image Generation Techniques

Prompt Engineering

Model Evaluation

Python

Education

Bachelor's or higher degree in Computer Science or related field

Tools

PyTorch

Hugging Face

OpenCV

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Computer Vision Engineer - Fully Remote (Global)

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*

Computer Vision Engineer - Fully Remote (Global)

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Science

• Industries

  Software Development

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