Lead Machine Learning Engineer

About the Role

Our client is seeking an experienced Lead Machine Learning Engineer to join their innovative team based in Coventry . This hybrid role offers the chance to lead the development and deployment of cutting-edge machine learning models that drive significant business value. You will guide a talented team, bridge the gap between research and production, and architect scalable ML systems. This is an exciting opportunity to make a substantial impact within a forward-thinking organisation, contributing to the strategic direction of their AI capabilities and fostering a culture of technical excellence and collaborative problem-solving within a modern workplace environment.

Key Responsibilities

• Lead the design, development, and deployment of production-ready machine learning models and systems.
• Mentor and manage a team of machine learning engineers, fostering their technical growth and ensuring project success.
• Collaborate with data scientists, software engineers, and product managers to define ML strategies and implement solutions.
• Develop and maintain robust data pipelines and infrastructure for training and serving ML models at scale.
• Implement best practices for ML Ops, including version control, monitoring, and automated testing.
• Stay abreast of the latest advancements in machine learning and advocate for their adoption where appropriate.

Requirements

• Master's or PhD in Computer Science, Engineering, or a related field with a focus on Machine Learning.
• 5+ years of hands-on experience in machine learning engineering, with at least 2 years in a lead or senior capacity.
• Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Keras.
• Strong experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Demonstrated experience in building and deploying scalable ML systems in production.
• Excellent communication, leadership, and problem-solving skills.

Benefits

• Competitive salary package with performance incentives.
• Hybrid work model offering flexibility between home and office.
• Comprehensive health, dental, and vision insurance plans.
• Pension scheme with generous employer contributions.
• Opportunities for professional development and continuous learning.