Lead Machine Learning Engineer

About the Role

Our client is seeking an experienced Lead Machine Learning Engineer to spearhead their AI initiatives. Working remotely, you will guide the design, development, and deployment of scalable machine learning solutions that address critical business challenges. This role requires a blend of technical expertise, strategic thinking, and leadership to build and mentor a high-performing team. You will be instrumental in shaping the company's machine learning roadmap, ensuring the integration of cutting-edge AI technologies into their product offerings, fostering a culture of innovation and continuous improvement within a fully distributed workforce across the UK .

Key Responsibilities

• Lead the end-to-end development and deployment of machine learning models and pipelines.
• Architect and implement scalable ML infrastructure and MLOps practices.
• Collaborate with data scientists, product managers, and software engineers to deliver impactful AI solutions.
• Mentor and guide junior ML engineers, fostering their technical growth.
• Stay abreast of the latest advancements in ML technologies and industry best practices.

Requirements

• Master's or PhD degree in Computer Science, Engineering, or a related quantitative field.
• 5+ years of professional experience in machine learning engineering.
• Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Proven ability to lead technical projects and mentor teams in a remote setting.

Benefits

• Competitive salary and performance-based bonuses.
• Remote work flexibility, allowing you to work from anywhere in the UK .
• Comprehensive health and wellness benefits package.
• Opportunities for professional growth and development.
• A collaborative and inclusive company culture that values autonomy and impact.