Generative Ai Engineer (Remote)

Job Title: Generative AI Engineer

Location: Remote. UK ONLY.

Employment Type: Salaried Full-Time.

Salary: £6,333– £9,166 per month

We are representing a US-based client that is at the forefront of AI innovation, helping organizations harness the power of cutting-edge artificial intelligence technologies. The client develops impactful solutions that empower businesses worldwide to thrive in a rapidly evolving landscape.

Job Overview

We are seeking a talented Generative AI Engineer to join our dynamic team. In this role, you will design, develop, and implement generative AI models to create innovative solutions tailored to our clients’ needs. You’ll collaborate with cross-functional teams, ensuring the seamless integration of AI-powered applications.

Key Responsibilities

• Develop and fine-tune generative AI models (e.g., GPT, diffusion models, GANs) to create high-quality outputs aligned with project objectives.
• Collaborate with data scientists, engineers, and stakeholders to identify and solve complex challenges using generative AI.
• Design, test, and optimize machine learning models for performance, scalability, and accuracy.
• Stay updated on the latest advancements in generative AI and incorporate them into ongoing and future projects.
• Document technical processes and provide clear guidelines for implementing generative AI solutions.
• Support deployment and integration of generative AI applications into production environments.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field.
• 2+ years of experience working with generative AI models (e.g., GPT, DALL-E, Stable Diffusion, or GANs).
• Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, or Hugging Face.
• Proficiency in natural language processing (NLP), computer vision, or multimodal model development.
• Strong understanding of AI model training, fine-tuning, and evaluation techniques.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and MLOps best practices.
• Excellent problem-solving skills and a passion for AI innovation.

Skills: gan,natural language processing,artificial intelligence,python