Machine Learning Engineer at Coody

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Cloud Experience, Data Tools, Python, ML Infrastructure, GenAI, Docker, Kubernetes, PyTorch, TensorFlow, Transformers, LangChain, LangGraph, Vertex AI

Industry

Financial Services

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. Fixed 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, 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!

Responsibilities

As a Senior Machine Learning Engineer, you will take on fullstack Machine Learning assignments, developing and training models in production and building cloud platforms. You will influence product direction and foster a collaborative team culture.