Gen AI – Engineer

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
Remote
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£70,000 / year
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python PyTorch TensorFlow Transformer-based architectures NLP Computer Vision Generative AI

FULL DESCRIPTION

Summary

Develop and fine-tune generative AI models. Design and implement scalable pipelines for training and deploying generative models. Collaborate with product teams to create AI-driven applications. Explore advancements in generative AI and integrate cutting-edge techniques. Monitor and optimize model performance for speed, accuracy, and quality.

Key Responsibilities

  • Develop and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion).
  • Design and implement scalable pipelines for training and deploying generative models.
  • Collaborate with product teams to create AI-driven applications.
  • Explore advancements in generative AI and integrate cutting-edge techniques.
  • Monitor and optimize model performance for speed, accuracy, and quality.

Core Requirements

  • Proficiency in Python and AI frameworks like PyTorch or TensorFlow.
  • Experience with Transformer-based architectures and deep learning.
  • Strong understanding of NLP, computer vision, or multimodal systems.
  • Familiarity with distributed computing and cloud-based AI platforms.
  • Bachelor’s or Master’s in AI, Computer Science, or a related field.

Responsibilities:

Develop and fine-tune generative AI models (e.g., GPT, DALL-E, Stable Diffusion). Design and implement scalable pipelines for training and deploying generative models. Collaborate with product teams to create AI-driven applications. Explore advancements in generative AI and integrate cutting-edge techniques. Monitor and optimize model performance for speed, accuracy, and quality.

Requirements:

Proficiency in Python and AI frameworks like PyTorch or TensorFlow. Experience with Transformer-based architectures and deep learning. Strong understanding of NLP, computer vision, or multimodal systems. Familiarity with distributed computing and cloud-based AI platforms. Bachelor’s or Master’s in AI, Computer Science, or a related field.

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