Transfer Learning Specialist

Summary

[Employer hidden — view at passion-project.co.uk] is seeking a Transfer Learning Specialist to apply transfer learning techniques, fine-tune pre-trained models, design experiments for domain adaptation, and collaborate with cross-functional teams to deploy scalable ML solutions. The role involves building pipelines for various learning tasks and exploring continual learning methods.

Key Responsibilities

• Applying transfer learning techniques to accelerate training and improve model generalization
• Fine-tuning and adapting large-scale pre-trained models (e.g., BERT, GPT, ResNet) to new domains
• Designing experiments to evaluate domain adaptation and task transfer effectiveness
• Collaborating with cross-functional teams to deploy efficient and scalable ML solutions
• Building pipelines for multi-task, domain adaptation, and few-shot learning tasks
• Exploring continual learning and mitigating catastrophic forgetting in transferred models

Core Requirements

• Deep understanding of transfer learning, domain adaptation, and representation learning
• Hands-on experience with ML frameworks like PyTorch or TensorFlow
• Familiarity with foundation models in NLP and computer vision
• Strong mathematical foundation in linear algebra, optimization, and statistics
• Excellent problem-solving and communication skills
• Master’s or PhD in Machine Learning, AI, Computer Science, or a related field preferred