Senior 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 and leverage generative AI for innovative solutions
• Optimise machine learning solutions for performance and scalability
• Implement tailored machine learning code and ensure efficient data flow
• Automate ML workflows using MLOps practices
• Design machine learning architectures using Google Cloud tools
• Build and deploy production-grade software for data-driven solutions
• Lead client discussions and oversee project delivery

Requirements

• 4+ years of experience as a Machine Learning Engineer
• Proficiency in Python for delivering production-ready code
• Experience with CI/CD pipelines and foundational software engineering
• Familiarity with cloud platforms like Google Cloud, AWS, or Azure
• Strong knowledge of SQL for data management
• Experience scaling computations using GPUs or distributed systems
• Ability to expose ML components via web services (e.g., Flask)
• Excellent 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 and Smart Health Services
• 50% gym membership discounts
• WFH allowance
• Pension with employer contributions up to 10%
• Life insurance (3x base salary)
• Income protection
• Cycle to Work and Tech schemes