Senior ML Engineer

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform.

Responsibilities

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

Requirements

Multiple years experience as a Machine Learning Engineer, preferably with a consulting background; 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

Nice to have

Scale-up experience; Cloud certifications (Google Cloud Professional Machine Learning Engineer, AWS Solution Architect, etc.)

Benefits

Holiday: 30 days plus bank holidays; Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation); Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice); Hybrid Model: 1200 kr WFH Equipment Allowance (after probation); Learning & Growth: Access to platforms like Udemy; Pension: Private Salary Sacrifice Pension available