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Computer Vision Engineer

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below

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 Dream Booth, 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, Video Crafter, Model Scope, 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, Dream Booth, 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 Dream Booth, 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, Video Crafter, Model Scope, 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, Dream Booth, 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,…
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