Deep Learning Engineer

Job Title: Contract Deep Learning Engineer

Location: London (Hybrid or On-site)

Contract Type: 6–12 months (with potential extension)

About the Role:

We are seeking a highly skilled Deep Learning Engineer to join our team on a contract basis. You will be responsible for designing, developing, and deploying deep learning models to solve complex real-world problems across domains such as computer vision, natural language processing, and time-series analysis.

Key Responsibilities:

• Design and implement deep learning models using frameworks such as PyTorch or TensorFlow.
• Collaborate with data scientists, ML engineers, and product teams to define model requirements and deployment strategies.
• Optimize model performance and scalability for production environments.
• Conduct experiments, evaluate model performance, and iterate based on results.
• Maintain clear documentation and contribute to knowledge sharing across the team.
• Stay up-to-date with the latest research and techniques in deep learning.

Required Skills & Experience:

• Proven experience in developing and deploying deep learning models in production.
• Strong proficiency in Python and deep learning libraries (e.g., PyTorch, TensorFlow, Keras).
• Solid understanding of neural network architectures (CNNs, RNNs, Transformers, etc.).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with MLOps practices and tools (e.g., MLflow, DVC, Airflow).
• Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications:

• MSc or PhD in Computer Science, Machine Learning, or related field.
• Experience with large-scale datasets and distributed training.
• Knowledge of model interpretability and responsible AI practices.

Benefits:

• Flexible working arrangements (hybrid or remote options available).
• Opportunity to work on cutting-edge AI projects.
• Collaborative and innovative team environment.