Lead Machine Learning Engineer

About the Role

Our client is seeking a highly skilled and experienced Lead Machine Learning Engineer to spearhead innovative projects within their cutting-edge AI & Emerging Technologies division in London . This pivotal role involves guiding a team of talented engineers and researchers, shaping the technical direction of our AI initiatives, and developing sophisticated machine learning models that drive significant business value. You will be instrumental in transforming complex data into actionable insights and intelligent solutions, contributing to the forefront of technological advancement in a collaborative and dynamic environment. This position offers a unique opportunity to make a substantial impact, working on challenging problems that redefine industry standards and user experiences.

Key Responsibilities

• Lead the design, development, and deployment of advanced machine learning models and AI systems.
• Mentor and guide a team of machine learning engineers, fostering a culture of technical excellence and innovation.
• Collaborate with cross-functional teams to identify opportunities for AI integration and solve complex business challenges.
• Oversee the end-to-end machine learning lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Stay abreast of the latest research and advancements in AI, machine learning, and data science, applying them to project work.
• Ensure the scalability, performance, and reliability of deployed AI solutions in production environments.

Requirements

• Master's or PhD in Computer Science, Machine Learning, or a related quantitative field.
• Proven experience leading machine learning projects and teams.
• Deep understanding of machine learning algorithms, statistical modeling, and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python, with extensive experience in data manipulation and analysis libraries.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Excellent communication and leadership skills, with the ability to articulate complex technical concepts to diverse audiences.

Benefits

• Competitive salary package with performance-based bonuses.
• Comprehensive health, dental, and vision insurance coverage.
• Generous annual leave and company holidays.
• Opportunities for professional development, training, and conference attendance.
• Hybrid working model offering flexibility between office and remote work.