Lead Machine Learning Engineer

About the Role

Our client is seeking a highly experienced and innovative Lead Machine Learning Engineer to spearhead their AI initiatives in Aberdeen . You will be instrumental in designing, developing, and deploying cutting-edge machine learning models and systems that drive business value and solve complex challenges. This is a critical leadership role within a forward-thinking team, offering the opportunity to shape the future of AI-driven solutions and mentor a growing team of talented engineers. If you are passionate about leveraging AI to create transformative products and eager to make a significant impact in a dynamic environment, this position is for you.

Key Responsibilities

• Lead the design, development, and implementation of machine learning models and algorithms for various applications.
• Oversee the end-to-end ML lifecycle, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Mentor and guide junior engineers, fostering a culture of technical excellence and continuous learning.
• Collaborate with data scientists, software engineers, and product managers to translate business requirements into scalable AI solutions.
• Research and implement state-of-the-art ML techniques and tools to enhance model performance and efficiency.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
• Proven experience (5+ years) in developing and deploying machine learning systems in production environments.
• Expertise in Python and popular ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Strong understanding of deep learning, natural language processing, and computer vision concepts.
• Demonstrated ability to lead technical projects and mentor team members.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for professional development and attending industry conferences.
• Generous paid time off and flexible working hours.
• A collaborative and innovative work environment with exciting AI projects.