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Machine Learning Ops Engineer at Goodgame Studios

Tjänst Machine Learning Ops Engineer
Publicerad 04 Mar 2026
Utgången 03 Apr 2026
Företag Goodgame Studios
Plats Stockholms län | SE
Anställningsform Full Time

Jobbbeskrivning:

Senaste jobbinformationen från Goodgame Studios för tjänsten som Machine Learning Ops Engineer. If the Machine Learning Ops Engineer lediga tjänsten i Stockholms län matchar dina kvalifikationer, vänligen skicka din senaste ansökan eller CV direkt via den uppdaterade Jobkos-portalen.

Observera att det inte alltid är enkelt att söka jobb, eftersom kandidater måste uppfylla vissa krav från företaget. Vi hoppas att karriärmöjligheten hos Goodgame Studios för tjänsten som Machine Learning Ops Engineer nedan matchar din profil.

We are looking for a Machine Learning Engineer specialized in MLOps to join our central AI/ML Hub and collaborate closely with game studios and other central hubs (Data, Marketing, Ads) in order to operationalize and scale machine learning solutions across Stillfront.

We are at a pivotal stage in scaling AI and ML across Stillfront, with a clear ambition to accelerate and consolidate our efforts in order to establish AI and ML as a fundamental part of our DNA. This role will be instrumental in ensuring that our ML solutions are reliable, maintainable, and scalable in production.

As our MLOps Engineer, you will be leading building ML pipelines, infrastructure, and development workflows, while also contributing to modeling work when needed.

You will play a key role in driving the creation of the technical pillars that allow the team to ship, iterate, and scale ML effectively across the Stillfront portfolio.

YOUR MISSION
  • Design, build, and maintain ML pipelines covering training, validation, deployment, monitoring, and retraining.
  • Operationalize ML models developed in collaboration with ML, data and backend engineers, and ensure their reliability in production.
  • Support experimentation by making ML systems easier to deploy, monitor, and iterate on.
  • Build up the developer experience for ML engineers (environment setup, dependency management, automation, CI/CD). Focused on reusability, standardization and scalable development workflows.
  • Apply strong software engineering practices within ML codebases (modularity, testing, version control, code reviews).
  • Contribute to modeling tasks when needed, including data preparation, feature engineering, experiment execution, and evaluation.
  • Collaborate closely with data engineers and backend engineers to ensure clean data flows and robust integrations.
YOUR PROFILE
  • Degree in Computer Science, Software Engineering, Data Engineering, or related technical disciplines.
  • 5 years of professional experience in software engineering, ML engineering, or data-intensive engineering roles.
  • Hands-on experience building, shipping and maintaining production ML systems, pipelines, or data workflows.
  • Strong programming skills, especially in Python and SQL, with a clear software engineering mindset.
  • Experience with cloud-based environments and production infrastructure.
  • Experience working with large-scale datasets and distributed processing frameworks (e.g. Spark or similar).
  • Practical experience of the ML lifecycle and ability to collaborate effectively on modeling tasks.
  • Experience contributing to collaborative codebases using Git and following structured development practices (pull requests, reviews, branching workflows).
Bonus Experience
  • Experience contributing to internal platforms or shared developer tooling.
  • Exposure to containerization and orchestration tools.
  • Prior experience in gaming, consumer products, or large-scale data environments.
Benefits
  • Competitive salary and comprehensive benefits package.
  • Autonomy to explore and implement new technologies, tools, and partners.
  • Work in a dynamic environment with high exposure to a wide variety of genres, tools, and diversified products.
  • Flexible working hours and a supportive, collaborative work environment.
  • Opportunity to work with a talented team of professionals and make a significant impact on a globally recognized product
Stillfront

Stillfront is a global gaming Företag. We develop a wide range of digital games that attract over 50 million players each month. From well-established franchises like Supremacy, Big Farm, and BitLife to niche games, we span many different genres, including strategy, simulation, RPG and action, and casual and mash-up games.

We believe gaming can be a force for good. And we want to create a gaming universe that is digital, affordable, equal, and sustainable. So, we focus on developing games that are all about having a rewarding hobby, a great social experience, or a strategic challenge.

Our HQ is in Stockholm, Sverige, but our game development is done by teams and studios all over the world. Our main markets are the US, Japan, MENA, Tyskland, and the UK. We’re proud that our Företag shares are listed on the Nasdaq Stockholm.

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Om tjänsten:

  • Företag: Goodgame Studios
  • Tjänst: Machine Learning Ops Engineer
  • Arbetsplats: Stockholms län
  • Land: SE

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