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Machine Learning Engineer

Sweden

Company: COODY

Published Dec 01, 2025

Role highlights

Contract type

Full Time

Schedule

Permanent

Experience

Senior

Work style

Remote

Key skills

This Senior Machine Learning Engineer role requires over four years of professional experience in building, training, and deploying machine learning models in production environments. Candidates should have a strong foundation in Python programming and extensive expertise with modern ML and AI frameworks such as PyTorch, TensorFlow, Transformers, LangChain, LangGraph, and Vertex AI. The role demands proficiency in cloud platforms including AWS, Google Cloud Platform, and Azure, as well as containerization and orchestration tools like Docker and Kubernetes. Experience with large-scale data processing tools such as Spark, Dask, PySpark, and Apache Beam is essential for handling complex datasets and building scalable ML pipelines. A solid understanding of machine learning infrastructure is critical, encompassing model deployment, monitoring, debugging, and optimization to ensure reliable production performance. The position involves full-stack ML assignments spanning generative AI, model development, training, and cloud platform construction, requiring the ability to quickly assimilate complex systems and deliver impactful results from day one. Candidates must hold a bachelor's degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related discipline. Fluency in English and legal authorization to work in Sweden are mandatory. The role offers opportunities to influence product direction and contribute to a collaborative, high-trust team culture within a fast-growing, diverse consultancy serving clients across multiple industries including gaming, fintech, medtech, AI, SaaS, aviation, and automotive. This position suits highly motivated engineers seeking freedom, flexibility, and career growth in a remote-friendly, digitally enabled environment.

#AI Engineer #Machine Learning Engineer #Data Engineer #Senior Machine Learning Engineer #Deep Learning Engineer #Data Scientist #AI Specialist #ML Engineer #ML Researcher #Applied Machine Learning Engineer

About the role

This is Coody

One of Sweden’s fastest-growing tech consultancies
Expanding in both people and revenue
Gravity-Free Consulting: combines freelancing freedom with employment security
Freedom, trust, and ambition: choose assignments that excite you
Vast client network across Sweden, Finland, US, and UK
Work with companies in Gaming, Fintech, Medtech, AI, SaaS, Aviation, and Automotive
Diverse community: over 14 nationalities
Platform approach: designed to help you work and live by your own priorities
Explore our Employee Handbook

Why Coody

Maximized compensation: typically +40% salary increase
Freedom & flexibility: no bosses, all digital, fully remote option
Employment security: fixed salary, pension, insurance, paid vacation, large educational fund
Shape the future: projects with digital leaders like Spotify, Hemnet, Visa, Tobii, Toca Boca, Mojang, Flightradar24, SJ, and startups/scaleups

Role Summary

As a Senior Machine Learning Engineer at Coody, you will:

Take on fullstack Machine Learning assignments (6–24 months)
Work across GenAI, model development, training, and cloud platform building
Gain broad and deep experience across industries and companies
Play a key role in projects, products, and teams
Dive into complex systems, ramp up quickly, and deliver impact from day one
Influence product direction and foster a collaborative, high-trust team culture

Requirements

4+ years of experience in Machine Learning
Proven track record of building and training ML models in production
Cloud experience: AWS, GCP, Azure, Docker, Kubernetes
Experience with data tools: Spark, Dask, PySpark, Apache Beam
Expertise in Python and modern ML/AI libraries: PyTorch/TensorFlow, Transformers, LangChain, LangGraph, Vertex AI
Strong understanding of ML infrastructure: deployment, monitoring, debugging, optimization
Degree in Computer Science, Engineering, Mathematics, Statistics, or similar
Based in Sweden with Swedish citizenship, valid work visa, or permanent residency
Fluent in English (spoken and written)

How to Apply

Are you excited to take your career to the next level and meet the criteria? Apply now, and we'll be in touch shortly!

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