Deep Learning Engineer

🔒 Confidential Employer
Posted 13 August 2025
LOCATION
United Kingdom (Remote/Hybrid)
TYPE
Full-time
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Deep Learning Python PyTorch TensorFlow Machine Learning CNNs Model Deployment GPU

FULL DESCRIPTION

Summary

Designing and implementing deep learning models for computer vision, NLP, or multi-modal tasks. Experimenting with architectures like CNNs, RNNs, LSTMs, GANs, and Transformers. Fine-tuning and deploying large-scale models using frameworks like PyTorch or TensorFlow.

Key Responsibilities/Duties

  • Designing and implementing deep learning models for computer vision, NLP, or multi-modal tasks
  • Experimenting with architectures like CNNs, RNNs, LSTMs, GANs, and Transformers
  • Fine-tuning and deploying large-scale models using frameworks like PyTorch or TensorFlow
  • Optimizing training pipelines for performance, scalability, and resource efficiency
  • Collaborating with data scientists and engineers to bring models into production
  • Staying ahead of AI trends and integrating state-of-the-art research into practical applications

Core Requirements/Qualifications/Skills

  • Proven experience in deep learning model development and deployment
  • Proficiency in Python and deep learning libraries (PyTorch, TensorFlow, Keras)
  • Experience working with large datasets and GPU-accelerated training environments
  • Solid grasp of machine learning theory, model evaluation, and hyperparameter tuning
  • MSc or PhD in Computer Science, AI, Machine Learning, or related field preferred
  • Passion for solving complex problems with neural networks and AI

🔧 What You’ll Be Working On:

  • Designing and implementing deep learning models for computer vision, NLP, or multi-modal tasks
  • Experimenting with architectures like CNNs, RNNs, LSTMs, GANs, and Transformers
  • Fine-tuning and deploying large-scale models using frameworks like PyTorch or TensorFlow
  • Optimizing training pipelines for performance, scalability, and resource efficiency
  • Collaborating with data scientists and engineers to bring models into production
  • Staying ahead of AI trends and integrating state-of-the-art research into practical applications

🎯 What We’re Looking For:

  • Proven experience in deep learning model development and deployment
  • Proficiency in Python and deep learning libraries (PyTorch, TensorFlow, Keras)
  • Experience working with large datasets and GPU-accelerated training environments
  • Solid grasp of machine learning theory, model evaluation, and hyperparameter tuning
  • MSc or PhD in Computer Science, AI, Machine Learning, or related field preferred
  • Passion for solving complex problems with neural networks and AI
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