Senior AI Engineer – Computer Vision & ML

Cognizant; Greater London; On-site; GBP 60,000 - 100,000; Full time

Job summary

Cognizant is seeking an AI/ML engineer to work with Studios, ML Engineers and Product teams in shaping next‑gen AI-powered automation for fashion and retail applications. You will apply computer vision to product imagery and external inspiration to create smarter image generation and personalized experiences.

The role involves building end‑to‑end ML/AI solutions, developing data pipelines, standardising workflows, and embedding responsible AI practices across cross‑functional teams in a

Qualifications

• Must have hands-on experience in building and deploying ML/CV solutions end-to-end.
• Experience with fine-tuning models for specific use cases.
• Familiarity with CI/CD, containerization, monitoring in MLOps.
• Strong collaboration across multidisciplinary teams.

Responsibilities

• Design and develop AI solutions using LLMs and generative AI.
• Build scalable data pipelines and ensure data quality.
• Standardise and reuse AI workflows across domains.
• Apply MLOps practices to AI systems including CI/CD and monitoring.
• Collaborate with Cloud Infrastructure to enable secure, cost-effective AI environments.
• Embed ethical and responsible AI practices to mitigate bias and risk.
• Fine-tune pre-trained models for relevance and performance.
• Contribute to evaluation frameworks with automated tests and benchmarking.

Skills

Python

ML/DL libraries

Computer vision

Generative AI

Prompting & RAG

MLOps & CI/CD

Model fine-tuning

Team collaboration

Tools

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

Job description

You’ll work closely with Studios, Machine Learning Engineers and Product teams to shape the next generation of AI-powered automation for client's studio . By applying computer vision to product imagery and external visual inspiration, you’ll uncover rich styling signals and combine them with customer insights to create smarter image generation, more engaging shopping journeys and more personalized fashion experiences.

• Designing and developing AI solutions using LLMs and generative AI, including iterating on prompts and workflows to improve output quality
• Building and maintaining scalable data pipelines, applying best practices in data preparation to ensure quality and reliability
• Helping to standardise and reuse AI workflows, making it easier for teams across different domains to build consistently and efficiently
• Applying MLOps principles to AI systems, including CI/CD, monitoring, model management and feature governance
• Partnering with Cloud Infrastructure teams to design secure, cost‑effective environments for AI workloads
• Embedding ethical and responsible AI practices into development, proactively identifying and mitigating bias and risk
• Fine‑tuning pre‑trained models for specific use cases to improve relevance and performance
• Designing and contributing to evaluation frameworks for AI models, including automated testing and benchmarking to support ongoing improvement

Key Skills and Experience

• Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision.
• Hands‑on professional experience in fine‑tuning and deploying machine learning solutions end‑to‑end, with a focus on deep learning for computer vision (e.g Fashion-Clip)
• Experience with generative AI systems, prompting, retrieval augmented generation (RAG) and fine tuning LLMs
• Familiar with software development practices including version control, CI/CD, containerization, and monitoring for MLOps
• Experience in taking projects from inception to production.
• A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
• Motivated self‑starter with a desire to learn, share knowledge, and grow in a fast‑paced environment.