Lead Machine Learning Engineer

About the Role

Our client is excited to invite applications for a Lead Machine Learning Engineer , a pivotal remote role based in Newcastle upon Tyne . This position is designed for an experienced professional to spearhead the design, development, and deployment of scalable machine learning systems. You will lead a talented team, driving innovation and ensuring the robustness and efficiency of our AI solutions. Working remotely, you will collaborate closely with stakeholders across the organisation to translate complex requirements into actionable AI strategies. This is a fantastic opportunity to make a significant impact on cutting-edge AI projects from a fully remote setting, fostering a culture of technical excellence and continuous learning.

Key Responsibilities

• Lead the end-to-end development and deployment lifecycle of machine learning models and systems.
• Design and implement scalable, production-ready ML pipelines and infrastructure.
• Mentor and guide a team of ML engineers, fostering best practices in coding, testing, and deployment.
• Collaborate with data scientists, software engineers, and product teams to define ML requirements and deliver impactful solutions.
• Monitor and optimize the performance of deployed ML models, ensuring reliability and accuracy.
• Research and evaluate new ML technologies and methodologies to enhance our capabilities.

Requirements

• MSc or PhD in Computer Science, Machine Learning, or a related field, or equivalent practical experience.
• Minimum of 6 years of professional experience in machine learning engineering, with at least 2 years in a lead or senior capacity.
• Expertise in programming languages like Python and proficiency with ML frameworks (e.g., TensorFlow, PyTorch).
• Strong understanding of ML algorithms, statistical modelling, and data mining techniques.
• Proven experience with MLOps, CI/CD pipelines, and cloud platforms (AWS, Azure, GCP).
• Excellent leadership, communication, and problem-solving skills, with a proven ability to work effectively in a remote team.

Benefits

• Highly competitive salary and bonus structure.
• Fully remote working environment with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous allowance for home office setup and professional development.
• Opportunities to work on challenging and impactful AI projects.