Lead Machine Learning Engineer

About the Role

Our client is seeking an experienced and visionary Lead Machine Learning Engineer to spearhead their AI initiatives in Newcastle upon Tyne . This role offers a unique opportunity to guide the development and deployment of cutting-edge machine learning solutions that address critical business challenges. You will work within a hybrid model, enjoying flexibility while collaborating closely with a talented team of data scientists, engineers, and product managers. The position involves both strategic planning and hands-on implementation, ensuring our client remains at the forefront of AI and Emerging Technologies . If you are passionate about building scalable ML systems and leading a team to innovate, this role is for you.

Key Responsibilities

• Lead the design, development, and deployment of production-grade machine learning models and systems.
• Mentor and guide a team of machine learning engineers and data scientists.
• Define and implement ML best practices, MLOps pipelines, and model monitoring strategies.
• Collaborate with stakeholders to understand business needs and translate them into technical requirements.
• Optimize ML algorithms and infrastructure for performance, scalability, and reliability.
• Conduct code reviews, provide technical guidance, and foster a culture of innovation and technical excellence.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related quantitative field.
• Extensive experience in machine learning engineering, with a focus on building and deploying models in production.
• Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Demonstrated experience with cloud platforms (AWS, Azure, GCP) and MLOps tools.
• Proven ability to lead technical teams and manage complex ML projects.
• Excellent problem-solving skills and a deep understanding of ML algorithms and statistical modeling.

Benefits

• Competitive salary package with performance-based bonuses.
• Generous share options and long-term incentives.
• Comprehensive health, dental, and vision insurance.
• Hybrid working model offering work-life balance.
• Significant opportunities for professional growth and career advancement within a leading tech company.