Lead Machine Learning Engineer

About the Role

Our client is seeking a highly experienced Lead Machine Learning Engineer to spearhead their AI initiatives. This role is fully remote , offering the flexibility to work from anywhere within the UK. You will be responsible for designing, building, and deploying scalable machine learning systems that drive key business decisions and product innovation. Leading a talented team, you'll guide the technical direction, mentor engineers, and foster a culture of excellence in ML engineering. This is a crucial position for someone passionate about leveraging data and advanced algorithms to create impactful, intelligent solutions in a remote-first environment.

Key Responsibilities

• Lead the design, development, and deployment of production-grade machine learning models and pipelines.
• Oversee the ML lifecycle, from data ingestion and feature engineering to model training, evaluation, and monitoring.
• Collaborate with data scientists, software engineers, and product managers to understand requirements and deliver robust ML solutions.
• Mentor and guide a team of machine learning engineers, fostering their technical growth and ensuring high-quality deliverables.
• Establish best practices for ML development, including version control, testing, and deployment strategies.
• Optimize ML systems for performance, scalability, and cost-effectiveness in cloud environments.

Requirements

• Master's or PhD in Computer Science, Statistics, or a related field, with a focus on machine learning.
• Extensive experience (5+ years) in building and deploying machine learning models in production.
• Proficiency in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong understanding of cloud platforms (AWS, Azure, GCP) and MLOps principles.
• Proven experience in leading technical teams and managing projects.
• Excellent communication and collaboration skills, essential for a remote setting.

Benefits

• Competitive salary and performance bonuses.
• Fully remote working arrangement with flexible hours.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and conference attendance.
• Opportunity to lead impactful AI projects and shape technical strategy.
• Collaborative and supportive virtual team culture.