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Machine Learning Engineer

Roles & Responsibilities

  • 4+ years of experience delivering ML solutions with a proven track record of production deployments.
  • Cloud experience with AWS, GCP, or Azure and containerization using Docker and Kubernetes.
  • Strong Python expertise and hands-on experience with ML/AI libraries such as PyTorch/TensorFlow, Transformers, LangChain, LangGraph, and Vertex AI, plus experience with data tools (Spark, Dask, PySpark, Apache Beam).
  • A degree in Computer Science, Engineering, Mathematics, Statistics, or a related field, plus eligibility to work in Sweden (citizenship, visa, or residency) and fluent English.

Requirements:

  • Take on full-stack ML assignments ranging from GenAI development and training models in production to building cloud platforms where they can run.
  • Each assignment lasts 6-24 months, offering exposure to multiple industries and company contexts.
  • Influence product direction and foster a collaborative, high-trust team culture beyond coding and training models.
  • Dive into complex systems, ramp up quickly, and deliver real impact from day one.

Job description

This is Coody

We’re one of Sweden’s fastest-growing tech consultancies, expanding in both people and revenue. We attribute our growth to our simple yet powerful approach to Gravity-Free Consulting, combining the freedom and flexibility of freelancing with the security of traditional employment.

At Coody, we believe in freedom, trust, and ambition which means you’ll feel like a freelancer with free rein on assignments that excite you, while enjoying the benefits of being employed by a company that invests in your growth.

Our senior sales team has built a vast, carefully curated client network, enabling our consultants to work with some of the most innovative companies in Sweden, Finland, the US, and the UK across Gaming, Fintech, Medtech, AI, SaaS, Aviation, and Automotive, tackling real technical challenges while shaping their own career paths.

We’re a diverse community of ambitious tech professionals, representing more than 14 nationalities.

Coody is more of a platform than a traditional consultancy. Everything we do is designed to help you work and live according to your own priorities and ambitions. If you’re curious to see how this works in practice, explore our Employee Handbook and discover a company that truly puts consultants first.

Why Coody

At Coody, we cut out everything unnecessary to give more back to you as a consultant. And we have done it in the package of a lean and efficient organization, meaning no overpaid managers, no fancy offices and no extravagant conferences. Instead we give you: 

Maximized Compensation. Typically a +40% salary increase.

Freedom & Flexibility. No bosses. All digital. Fully remote for those who prefer.

Employment Security. High salary, pension, insurance, paid vacation and a big educational fund.

Shape the Future. Projects and assignments for digital game changers like Spotify, Hemnet, Visa, Tobii, Toca Boca, Mojang, Flightradar24, SJ, and exciting startups and scaleups. 

What you’ll be doing

As a Senior Machine Learning Engineer at Coody, you'll take on fullstack Machine Learning Assignments covering the full spectra from GenAI, developing and training models in production, and building cloud platforms where they can run. Each assignment is 6–24 months and will give you both broadness and deepness from various industries and companies. Often, we play a key role for the project, product and team we work in. You will dive into complex systems, ramping up fast, and delivering real impact from day one. Beyond coding and training models, you’ll influence product direction, and fostering a collaborative, high-trust team culture.


Who you are

We believe that you have about 4+ years of experience and a proven track record of delivering real results within Machine Learning. If you’ve got the following, you’re probably a great fit:

  • A track-record of building and training ML models in production

  • Cloud experience (AWS, GCP, Azure, Docker, Kubernetes)

  • Experience with commonly used 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

  • A degree in Computer Science, Engineering, Mathematics, Statistics, or similar

  • You must be based in Sweden with a Swedish citizenship, a valid work visa, temporary 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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