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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Engineer - Applied ML & Research - **Company:** Super Technologies - **Location:** Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Amazon Elastic Compute Cloud, Data Analysis, Big Data, Software Quality, Code Review, Python (Programming Language), Machine Learning, Open Source Technology, Standard Sql, Cloud Platform System, Feature Engineering, Pytorch, Large Language Models, Cloudformation, Scikit Learn, Information Technology, Xgboost, Apache Kafka, Machine Learning Operations, Multiaccess Edge Computing - **Published:** May 22, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=802af5238c79fd60 ## About the Role Do you have a Master's degree?, * Bachelor's degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's a plus) * 4+ years of industry experience building and deploying ML systems * Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL * Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies * Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices * Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively, * Familiarity with ML tooling such as MLflow, ZenML, or Metaflow * Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito) * Exposure to streaming data platforms like Kafka * Contributions to open-source ML projects ## Description We are on a mission to pioneer the world's next era of play. As we grow across Europe and Latin America, we're building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day. As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily. You'll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration., * Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact * Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components) * Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring * Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability * Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders * Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Effective Machine Learning - Managing Complexity with MLOps](https://www.wearedevelopers.com/videos/185-effective-machine-learning-managing-complexity-with-mlops) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [Why Upskilling And Reskilling is Important For Developers](https://www.wearedevelopers.com/magazine/428-why-upskilling-and-reskilling-is-important-for-developers)