Lead AI Research Scientist

About the Role

Our client is seeking a highly innovative and experienced Lead AI Research Scientist to spearhead groundbreaking research initiatives in Leicester . This pivotal role involves driving the future of artificial intelligence within the company, focusing on developing novel algorithms and intelligent systems that push the boundaries of current technology. You will lead a dedicated team of researchers and engineers, fostering a collaborative environment that encourages creative problem-solving and scientific rigor. This position offers a unique opportunity to make a significant impact in the rapidly evolving field of AI, working on challenging projects with real-world applications.

Key Responsibilities

• Lead the design and implementation of cutting-edge AI models and algorithms for complex problems.
• Mentor and guide a team of AI researchers and data scientists, fostering their technical and professional growth.
• Conduct in-depth research, publish findings in top-tier conferences, and stay abreast of the latest advancements in AI.
• Collaborate with product and engineering teams to translate research breakthroughs into viable product features.
• Secure research grants and manage project budgets effectively.

Requirements

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Proven track record of 5+ years in AI research, with significant contributions to the field (publications, patents).
• Expertise in machine learning, deep learning, natural language processing, or computer vision.
• Strong programming skills in Python, R, and experience with AI frameworks like TensorFlow or PyTorch.
• Excellent leadership, communication, and project management skills.

Benefits

• Competitive salary and bonus structure.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for professional development, including conference attendance.
• Generous annual leave and flexible working options.
• Access to state-of-the-art research facilities and computing resources.