Machine Learning Ops Engineer at Stillfront

Stockholm, , Sweden -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

0.0

Posted On

24 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

MLOps, Machine Learning Pipelines, Model Deployment, Model Monitoring, CI/CD, Python, SQL, Software Engineering, Cloud Environments, Distributed Processing, Git, Data Flow Integration, Feature Engineering, Testing, Containerization, Orchestration

Industry

Entertainment Providers

Description

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

Responsibilities

The role involves designing, building, and maintaining ML pipelines covering training, validation, deployment, monitoring, and retraining to operationalize ML models in production. Key duties include building infrastructure, driving developer experience for ML engineers, and applying strong software engineering practices to ensure scalability and reliability.