Senior AI Engineer – Machine Learning (Computer Vision)

Location: hirify.global headquarters in London is mentioned; the candidate work location is not otherwise specified.

Company

hirify.global is a fashion ecommerce company developing digital shopping experiences powered by imagery, video, AI, and cloud-native platforms.

What you will do

• Design and develop AI solutions using LLMs, generative AI, prompt workflows, and multimodal deep-learning techniques.
• Build scalable data pipelines and standardize reusable AI workflows for teams across different domains.
• Apply MLOps practices including CI/CD, monitoring, model management, feature governance, and automated testing.
• Fine-tune and evaluate computer-vision and generative-AI models for fashion imagery and styling signals.
• Partner with Studios, Machine Learning, Product, and Cloud Infrastructure teams to deliver secure and cost-effective AI workloads.
• Embed responsible AI practices by identifying and mitigating bias and other risks.

Requirements

• Professional experience fine-tuning and deploying end-to-end machine-learning solutions, especially deep-learning computer-vision systems.
• Proficiency in Python and familiarity with ML/AI libraries such as PyTorch, TensorFlow, and Hugging Face.
• Experience with generative AI, prompt engineering, retrieval-augmented generation, and LLM fine-tuning.
• Knowledge of version control, CI/CD, containerization, monitoring, and other software-development practices for MLOps.
• Experience taking machine-learning projects from inception through production.
• Strong communication skills and the ability to collaborate across multidisciplinary teams.

Culture & Benefits

• Collaborative, transparent, inclusive, and evidence-based working culture.
• Employee discount and access to employee sample sales.
• 25 days of paid annual leave plus an additional celebration day.
• Discretionary bonus scheme and private medical care.
• Flexible benefits allowance that can be taken as cash or used for other benefits.
• Personalised learning and development opportunities.

Hiring process

• Apply online.
• Callback and interview.
• Decision and onboarding.