Lead Machine Learning Engineer - Remote

Overview

The Lead Machine Learning Engineer will be responsible for maintaining and expanding the enterprise data model, developing business-critical reports, and collaborating with various stakeholders to solve organizational challenges through reporting and data visualization.

In Short

• Lead the development and deployment of machine learning models.
• Manage cloud-based platforms and CI/CD pipelines.
• Collaborate with stakeholders to gather requirements.
• Ensure compliance with data security best practices.
• Mentor junior engineers and contribute to the product lifecycle.
• Operate within an Agile/Scrum framework.
• Present findings to non-technical audiences.
• Drive best practices in ML solution development.
• Implement monitoring and logging for models in production.
• Work in a hybrid environment with a client-focused mindset.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• 5+ years of experience in machine learning or data science roles.
• Advanced programming skills in Python.
• Experience with AWS cloud services, particularly Amazon SageMaker.
• Knowledge of DevOps/MLOps practices and CI/CD pipelines.
• Excellent problem-solving and analytical thinking skills.
• Strong communication skills to explain complex concepts.
• Ability to work under tight deadlines and multitask.
• Familiarity with document classification and NLP techniques is a plus.
• Relevant certifications in AWS or machine learning are advantageous.

Benefits

• 25 days holiday plus bank holidays.
• Salary sacrifice schemes and retail vouchers.
• Life Assurance and Private Medical Insurance.
• Discounted gym memberships and Cycle-to-work scheme.
• Opportunities for career development.
• A diverse and inclusive work environment.
• Health assessments and dental insurance.
• Support for personal and professional well-being.
• Work for a global employer with a commitment to innovation.