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Gazelle Global

Gen AI Engineer

CompanyGazelle Global
LocationNorwich, England, United Kingdom
Posted At3/12/2026

UK Visa Sponsorship Analytics

Analytics are greyed out due to low classification confidence (38.0%).
Occupation Type
Metal working machine operatives
Occupation Code Skill LevelIneligible
Sponsorship EligibilityIneligible for Sponsorship

Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.

Disclaimer: Hunt UK Visa Sponsors aggregates job listings from publicly available sources, such as search engines, to assist with your job hunting. We do not claim affiliation with Gazelle Global. For the most up-to-date job details, please visit the official website by clicking "Apply Now."

Description

The Role

Skilled and innovative Generative AI Engineer to join our AI/ML team. Expertise in design, develop, and deploy cutting-edge generative models (e.g., LLMs, diffusion models, GANs) to solve real-world problems and enhance our product offerings. Collaborate with cross-functional teams to integrate AI capabilities into scalable applications.


Your responsibilities:

  • Design and implement generative models using state-of-the-art architectures (e.g., GPT, DALL·E, Stable Diffusion, etc.)
  • Fine-tune and optimize large language models (LLMs) for specific tasks and domains
  • Build pipelines for data pre-processing, model training, evaluation, and deployment
  • Collaborate with product, design, and engineering teams to integrate AI features into products
  • Conduct research and stay up to date with the latest advancements in generative AI
  • Ensure ethical and responsible AI development, including bias mitigation and safety evaluations


Your Profile

  • Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers)
  • Solid understanding of deep learning, NLP, and generative modeling techniques
  • Experience with training and fine-tuning large-scale models
  • Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tool