Lead Machine Learning Engineer

About the Role

Our client is searching for an experienced and visionary Lead Machine Learning Engineer to spearhead their AI initiatives in Newcastle upon Tyne . This role is critical in guiding the strategy, architecture, and execution of machine learning projects that will define our client's future products and services. You will manage a team of talented engineers, fostering a culture of innovation and technical excellence, while ensuring the delivery of robust and scalable ML solutions. The ideal candidate is a hands-on leader passionate about leveraging data to solve complex problems and drive significant business value, working in a company that champions cutting-edge technology and professional growth.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning systems and infrastructure.
• Manage and mentor a team of ML engineers, providing technical guidance and project oversight.
• Define and implement best practices for MLOps, including CI/CD, model monitoring, and version control.
• Collaborate with stakeholders across product, engineering, and research to align ML strategies with business objectives.
• Evaluate and adopt new technologies and frameworks to enhance the ML platform's capabilities.
• Drive research into novel ML techniques and their potential application to business challenges.

Requirements

• Extensive experience (7+ years) in machine learning engineering, with a proven track record of leading successful projects.
• Strong command of Python and ML frameworks like TensorFlow, PyTorch, or Keras.
• Deep understanding of ML algorithms, statistical modeling, and data mining techniques.
• Experience with cloud computing environments (AWS, Azure, GCP) and distributed systems.
• Demonstrated leadership and team management skills.
• Excellent communication and interpersonal abilities, with the capacity to articulate complex technical concepts to diverse audiences.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Significant opportunities for career advancement and leadership development.
• Access to advanced computing resources and cutting-edge AI research.
• Flexible working arrangements, including fully remote options.
• A dynamic and supportive work culture that encourages creativity and collaboration.