Posted May 10, 2026
Senior Machine Learning Engineer
Translating Requirements: Interpret vague requirements and develop models to solve real-world problems. - Data Science: Conduct ML experiments using programming languages with machine learning libraries. - GenAI: Leverage generative AI to develop innovative solutions. - Optimisation: Optimise machine learning solutions for performance and scalability. - Custom Code: Implement tailored machine learning code to meet specific needs. - Data Engineering: Ensure efficient data flow between databases and backend systems. - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage. - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services. - Engineering Software for Production: Build and deploy production-grade software for ai and data-driven solutions. ### What You’ll Bring
Experience: Multiple years experience as a Machine Learning Engineer, preferably with a consulting background. - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested 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 machine learning components through web services or wrappers (e.g., Flask in Python). - Strong communication and presentation skills to effectively convey technical concepts. ###
Scale-up experience. - Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.). ### What’s in It for You?
We believe in empowering our team to thrive, with benefits including:
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
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