Machine Learning Engineer

About the Company

Datatonic is Google Cloud's premier partner in AI, driving transformation for world-class businesses through expertise in machine learning, data engineering, and analytics on Google Cloud.

Responsibilities

• Translate vague requirements into models that solve real-world problems
• Conduct ML experiments using programming languages and machine learning libraries
• Leverage generative AI to develop innovative solutions
• Optimise machine learning solutions for performance and scalability
• Implement tailored machine learning code and ensure efficient data flow
• Automate ML workflows focusing on testing, reproducibility, and MLOps
• Design machine learning architectures using Google Cloud tools
• Build and deploy production-grade software for machine learning solutions

Requirements

• 1-3 years of experience as a Machine Learning Engineer
• Proficiency in Python for delivering production-ready code in CI/CD pipelines
• Familiarity with cloud platforms such as Google Cloud, AWS, or Azure
• Hands-on experience with foundational software engineering practices
• Strong knowledge of SQL for querying and managing data
• Experience scaling computations using GPUs or distributed computing systems
• Familiarity with exposing ML components through web services (e.g., Flask)
• Strong communication and presentation skills

Preferred Qualifications

• Consulting background
• Scale-up experience
• Cloud certifications (Google CDL, AWS Solution Architect, etc.)

Benefits

• 25 days holiday plus bank holidays
• Private health insurance (Vitality Health) and Smart Health Services
• 50% gym membership discounts
• WFH allowance
• Access to learning platforms like Udemy
• Pension with employer contributions up to 10%
• Life Insurance (3x base salary)
• Income Protection
• Cycle to Work and Tech schemes