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.