Senior ML Engineer — Lead ML Projects, Hybrid Role

Datatonic; Stockholms kommun; Hybrid; SEK 900,000 - 1,200,000; Full time

Benefits offered by this job

Healthcare allowance

Wellness allowance

WFH equipment

Udemy access

Pension

Job summary

Datatonic is seeking a Senior Machine Learning Engineer to craft scalable ML solutions in Python and to lead client discussions. You will build production-grade ML and data engineering capabilities, optimize models, and shape ML architectures using Google Cloud tools.

You should bring 3+ years in ML engineering, strong Python skills, and experience with cloud platforms and CI/CD. This is a hands-on, hybrid role with opportunities to lead projects and engage clients.

Qualifications

• 3+ years as a Machine Learning Engineer, preferably in a consulting or product environment.
• Strong Python programming with production-grade code and testing.
• Experience with cloud platforms (Google Cloud, AWS, Azure).
• Solid software engineering practices and CI/CD familiarity.
• SQL proficiency for data querying and modeling.
• Excellent communication and client-facing collaboration skills.

Responsibilities

• Translate vague requirements into ML models that solve real-world problems.
• Conduct ML experiments and iterate with data science methods.
• Optimise ML solutions for performance and scalability.
• Implement tailored ML code for client needs.
• Ensure efficient data flow between databases and backends.
• Automate ML workflows focusing on testing and reproducibility.
• Design ML architectures using Google Cloud tools and services.
• Build production-grade software for ML and data-driven solutions.

Skills

Python

SQL

Cloud platforms

CI/CD

Flask

Communication

Tools

Flask

Job description

Datatonic is seeking a Senior Machine Learning Engineer to craft scalable ML solutions in Python and to lead client discussions. You will build production-grade ML and data engineering capabilities, optimize models, and shape ML architectures using Google Cloud tools.

You should bring 3+ years in ML engineering, strong Python skills, and experience with cloud platforms and CI/CD. This is a hands-on, hybrid role with opportunities to lead projects and engage clients.