Senior Computer Vision AI Engineer — Hybrid (London)

C4S Search Ltd; Greater London; On-site; GBP 104,000 - 136,000; Part time

Job summary

C4S Search Ltd. is seeking a Senior AI Engineer - Machine Learning (Computer Vision) to design, develop and deploy AI-powered CV/vision solutions in a hybrid North London setting. You will build scalable data pipelines, fine-tune models, and apply MLOps across the lifecycle to ensure high-quality, responsible AI.

You will collaborate with product and cloud teams to deliver secure, scalable AI that enhances customer experiences and operational efficiency while driving future growth.

Qualifications

• Proven experience delivering CV and DL in production environments.
• Strong Python ML framework experience.
• Experience with ML model fine-tuning and deployment.

Responsibilities

• Design, develop and deploy AI-powered solutions using DL, CV, LLMs and generative AI.
• Build scalable data pipelines with data quality and governance.
• Develop multimodal models combining visual, textual, and customer data for automation and personalization.
• Apply MLOps across the AI lifecycle: CI/CD, monitoring, deployment, testing, optimization.
• Collaborate with product, engineering and cloud teams to deliver secure, scalable and responsible AI.

Skills

Python

PyTorch

TensorFlow

Hugging Face

Computer Vision

Deep Learning

Generative AI

LLMs

Prompt Engineering

RAG

MLOps

Git

CI/CD

Containerisation

Data Pipelines

Production Deployment

AI Evaluation

Responsible AI

Stakeholder Management

Communication

Learning Mindset

Tools

Job description

C4S Search Ltd. is seeking a Senior AI Engineer - Machine Learning (Computer Vision) to design, develop and deploy AI-powered CV/vision solutions in a hybrid North London setting. You will build scalable data pipelines, fine-tune models, and apply MLOps across the lifecycle to ensure high-quality, responsible AI.

You will collaborate with product and cloud teams to deliver secure, scalable AI that enhances customer experiences and operational efficiency while driving future growth.