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 experiencedAI Engineer specialising in Computer Visionto 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 usingCNNs,Transformers, andgenerative techniques(e.g., diffusion models, GANs).
• Develop and deployreal-time and batch computer vision pipelinesto support use cases such as object detection, document analysis, and synthetic data generation.
• Experiment with, fine-tune, and operationaliseopen-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 inmachine 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 insoftware development and machine learning engineeringin a fast-paced, technical environment.
• Proven experience deploying AI models in production (not just research) across real-world use cases.
• Advanced proficiency inPythonand deep learning frameworks such asPyTorch,TensorFlow, orKeras.
• Strong expertise incomputer vision,generative models, andlarge-scale ML pipelines.
• Familiarity withLLMs,diffusion models, fine-tuning, and techniques likeLoRA.
• Experience curating and utilisingsynthetic datafor training and evaluation.
• Infrastructure knowledge includingAWS,Kubernetes, andTerraform/OpenTofu.
• Strong problem-solving skills, with the ability to work independently and collaboratively within cross-functional teams.

Why Join Us:

• Be part of ahigh-growth, international teamtransforming a globally significant industry through AI.
• Work oncutting-edge CV and generative AI technologiesin 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 ofAI, 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.