Senior Deep Learning Engineer - Remote

About the Role

Our client, a trailblazer in AI and Emerging Technologies , is seeking a highly skilled Senior Deep Learning Engineer to join their fully remote team, based in the vicinity of Plymouth . You will be at the forefront of designing, developing, and deploying advanced deep learning models for a variety of applications, including computer vision, natural language processing, and predictive analytics. This role is ideal for an individual with a passion for innovation, a deep understanding of neural networks, and a proven ability to deliver impactful AI solutions in a collaborative, distributed work environment. Embrace the opportunity to shape the future of AI from the comfort of your home.

Key Responsibilities

• Design, implement, and optimize deep learning architectures (CNNs, RNNs, Transformers, etc.).
• Train and fine-tune models using large-scale datasets, ensuring efficiency and accuracy.
• Develop robust pipelines for data preprocessing, model training, and deployment.
• Collaborate with researchers and engineers to integrate deep learning solutions into product offerings.
• Stay updated with the latest advancements in deep learning research and apply them to practical problems.
• Mentor junior engineers and contribute to best practices in deep learning development within a remote context.

Requirements

• MSc or PhD in Computer Science, AI, Machine Learning, or a related field.
• 5+ years of professional experience in deep learning engineering or research.
• Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
• Solid understanding of neural network theory, optimization techniques, and regularization methods.
• Experience with GPU computing and distributed training is highly desirable.
• Excellent communication and collaboration skills, essential for a fully remote position.

Benefits

• Highly competitive salary and annual bonus.
• Comprehensive medical, dental, and vision insurance.
• Generous paid time off and flexible working schedules.
• Budget for professional development, including conferences and online courses.
• Opportunity to work on challenging and exciting deep learning projects with significant impact.