Education

Machine Learning Engineer

Sweden
Company: COODY
Published Dec 15, 2025

Role highlights

Contract type

Full Time

Schedule

Permanent

Experience

Mid

Work style

Remote

Key skills

This Machine Learning Engineer role requires a mid-level professional with over four years of experience in machine learning and a proven track record of building and deploying ML models in production environments. Candidates should possess strong expertise in Python and modern machine learning and AI libraries, including PyTorch, TensorFlow, Transformers, LangChain, LangGraph, and Vertex AI. Proficiency with cloud platforms such as AWS, Google Cloud Platform, and Azure is essential, alongside containerization and orchestration tools like Docker and Kubernetes. Experience with big data processing tools such as Spark, Dask, PySpark, and Apache Beam is also required. The role involves full-stack machine learning assignments across diverse industries, including gaming, fintech, medtech, AI, SaaS, aviation, and automotive, with a focus on generative AI, model development, training, and production deployment. A strong understanding of ML infrastructure aspects such as deployment, monitoring, debugging, and optimization is critical. Candidates should hold a bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. Fluency in English and legal work authorization in Sweden (citizenship, valid work visa, or permanent residency) are mandatory. The position offers flexibility, remote work options, and the opportunity to work with innovative companies and startups, contributing to product direction and fostering collaborative team culture. This role is ideal for candidates seeking to advance their careers in a dynamic, diverse, and supportive consultancy environment.

#AI Engineer #Machine Learning Engineer #Data Engineer #Deep Learning Engineer #Data Scientist #ML Developer #AI Researcher #Cloud ML Engineer #Applied Scientist #ML Operations Engineer

About the role

  • Join Coody, one of Sweden’s fastest-growing tech consultancies
  • Experience "Gravity-Free Consulting": freedom and flexibility of freelancing with the security of employment
  • Work with innovative companies across Gaming, Fintech, Medtech, AI, SaaS, Aviation, and Automotive
  • Be part of a diverse community representing over 14 nationalities
  • Platform approach: work and live according to your own priorities and ambitions

Why Coody

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

Responsibilities

  • Take on fullstack Machine Learning assignments (6–24 months) across various industries
  • Work on GenAI, develop and train models in production, and build cloud platforms
  • Dive into complex systems, ramp up quickly, and deliver real impact from day one
  • Influence product direction and foster a collaborative, high-trust team culture

Requirements

  • 4+ years of experience in Machine Learning with a proven track record
  • Experience building and training ML models in production
  • Cloud experience (AWS, GCP, Azure, Docker, Kubernetes)
  • Experience with data tools (e.g., 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

  • If you meet the criteria and are excited to take your career to the next level, apply now. Coody will be in touch shortly.

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COODY

IT

Coody believes in combining the freedom and flexibility of freelancing with the security of traditional employment. It's not rocket science. Overpaid managers,...

Location
Sweden
Employees
11-50 employees
Website
coody.io