Computer Vision Engineer

AI Engineer (Computer Vision) Location: Fully Remote Salary: £125k–£160k DOE Equity Benefits Sector: AI / Computer Vision Type: Full-time, Permanent A fast-scaling, venture-backed SaaS company is building an innovative AI platform aimed at revolutionising a multi-trillion-dollar global industry. With backing from leading venture capital firms in Japan and the US, the business has recently exited stealth mode and is entering a significant phase of product expansion and commercial growth. We are now seeking an experienced AI Engineer specialising in Computer Vision to join a high-calibre engineering team. This is a unique opportunity to work on cutting-edge models, take ownership of end-to-end development, and contribute to the design of intelligent, scalable systems powering real-world innovation. Key Responsibilities: Design, build, and optimise production-level AI models using CNNs , Transformers , and generative techniques (e.g., diffusion models, GANs). Develop and deploy real-time and batch computer vision pipelines to support use cases such as object detection, document analysis, and synthetic data generation. Experiment with, fine-tune, and operationalise open-source models (e.g., LLaMA, Mistral, Stable Diffusion). Collaborate with cross-functional product and engineering teams to integrate AI solutions into core platform features. Drive innovation by staying abreast of the latest trends in machine learning, LLMs, and generative AI . Ensure responsible AI practices, including transparency, fairness, and scalability in production environments. Optimise models for performance, cost, and deployment efficiency on modern compute infrastructure (GPU/CPU). Ideal Candidate Profile: 3 years of experience in software development and machine learning engineering in a fast-paced, technical environment. Proven experience deploying AI models in production (not just research) across real-world use cases. Advanced proficiency in Python and deep learning frameworks such as PyTorch , TensorFlow , or Keras . Strong expertise in computer vision , generative models , and large-scale ML pipelines . Familiarity with LLMs , diffusion models , fine-tuning, and techniques like LoRA . Experience curating and utilising synthetic data for training and evaluation. Infrastructure knowledge including AWS , Kubernetes , and Terraform/OpenTofu . Strong problem-solving skills, with the ability to work independently and collaboratively within cross-functional teams. Why Join Us: Be part of a high-growth, international team transforming a globally significant industry through AI. Work on cutting-edge CV and generative AI technologies in a highly autonomous and creative environment. Enjoy the agility of a startup with the support of top-tier investors and a strong technical foundation. Competitive salary, equity options, and long-term career growth opportunities. If you're excited to contribute to a visionary platform at the intersection of AI, infrastructure, and global innovation , we’d love to hear from you. To apply, please submit your CV and a brief note outlining your interest and relevant experience.