Lead Deep Learning Engineer

About the Role

Our client is a world-renowned leader in AI & Emerging Technologies and is seeking a highly accomplished Lead Deep Learning Engineer to join their prestigious research hub in Cambridge . This senior role is essential for pushing the boundaries of deep learning research and development, leading projects that create novel AI models and applications. You will guide a team of talented engineers and researchers, contributing significantly to breakthroughs in areas like neural networks and generative AI. This hybrid position in Cambridgeshire offers an unparalleled opportunity to work at the forefront of AI innovation.

Key Responsibilities

• Lead the design, development, and implementation of advanced deep learning models and architectures.
• Manage and mentor a team of deep learning engineers and researchers, fostering technical excellence.
• Conduct cutting-edge research and experimentation in deep learning, exploring new techniques and algorithms.
• Oversee the optimization of deep learning models for performance, scalability, and efficiency.
• Collaborate with cross-functional teams to integrate deep learning solutions into impactful products and services.
• Stay abreast of the latest advancements in the field of deep learning and AI research.

Requirements

• PhD or Master's degree in Computer Science, Artificial Intelligence, or a related field with a specialization in Deep Learning.
• Minimum of 6 years of professional experience in deep learning engineering and research.
• Expertise in developing deep learning models using frameworks like TensorFlow, PyTorch, or Keras.
• Strong understanding of various neural network architectures (CNNs, RNNs, Transformers, GANs).
• Proficiency in Python and experience with relevant libraries (e.g., NumPy, SciPy, scikit-learn).
• Proven ability to lead technical projects and mentor junior team members.

Benefits

• Highly competitive salary and significant performance-related bonuses.
• Hybrid working model combining cutting-edge lab facilities in Cambridge with remote flexibility.
• Exceptional private healthcare coverage and wellness programs.
• Generous pension contributions and long-term incentive plans.
• Access to world-class research facilities and opportunities to publish findings.