Machine Learning Engineer

At SAS machine learning has moved well beyond experimentation. As part of our ongoing Digital & IT transformation we are expanding our investments in machine learning automation data platforms and Generative AI. We design deploy and operate production models that support pricing decisions personalize customer experiences and make our operations smarter every day.

As a Machine Learning Engineer you will play an important role in developing deploying and maintaining machine learning solutions that create real business value. You will work closely with data scientists data engineers and AI engineers to help bring models from development into production and ensure they perform reliably at scale.

If youre passionate about applying machine learning to real-world challenges and want to help shape the future of AI at SAS this is the role for you!

As our Machine Learning Engineer you willhelp develop and operationalize machine learning solutions across this role you will work hands-on with deployment monitoring and continuous improvement of production ML solutions.

You will collaborate closely with data scientists to transition models from experimentation to production help improve deployment processes and contribute to the ongoing development of our ML platform and engineering practices.

Key Responsibilities

• Design develop test deploy and monitor end-to-end pipelines for machine learning models in Azure.
• Apply MLOps best practices including version control continuous integration continuous delivery continuous training testing and monitoring to ensure the quality and reliability of the machine learning solutions.
• Monitor model performance and help identify issues related to model quality drift and reliability.
• Support automation of model training deployment and retraining processes.
• Contribute to best practices for machine learning engineering testing documentation and deployment.
• Work with Data Engineering and IT teams to ensure solutions are scalable secure and reliable.
• Help develop and improve CI/CD processes for machine learning applications.
• Participate in troubleshooting and resolving issues in production ML systems.
• Stay up to date with developments in machine learning MLOps and cloud technologies.

We are a central AI & Automation function within SAS Digital & IT that develops and operates solutions across machine learning automation MLOps and Generative AI. Our team consists of data scientists AI engineers ML engineers and automation specialists who work together to deliver solutions that create measurable business impact.

As SAS continues to strengthen its AI capabilities we are investing in modern cloud platforms scalable AI solutions and engineering practices that enable machine learning to create value across the business.

As part of the team you will contribute to a growing portfolio of machine learning products and collaborate across disciplines to ensure solutions are production-ready scalable and valuable to the business.

• Masters Degree in Computer Science Engineering Machine Learning Mathematics or a related field.
• 2-5 years of experience in Machine Learning Engineering MLOps or a related role.
• Experience developing deploying and operating machine learning solutions in production environments.
• Hands-on experience with Azure ML Azure Databricks Azure Data Factory or similar cloud-based ML platforms.
• Proficiency in Python SQL Git and Bash.
• Experience deploying and serving machine learning models through APIs as well as monitoring model performance in production.
• Understanding of model evaluation techniques hyperparameter tuning and validation approaches such as back-testing.
• Familiarity with Infrastructure as Code preferably Terraform on Azure.
• Solid understanding of software engineering practices including testing version control and CI/CD principles.
• Strong communication skills and the ability to explain and document technical concepts clearly and effectively.
• Experience with Generative AI LLMs or AI agents is considered a plus.

We believe you are a curious and pragmatic engineer who enjoys solving problems with data and machine learning. You are comfortable working across the ML lifecycle from experimentation to production and enjoy collaborating with colleagues from different disciplines.

You are eager to learn improve your technical skills and contribute to building reliable AI solutions that create real business value. Most importantly you understand that successful machine learning is not only about models but about delivering solutions that work in the real world and continue to provide value over time.

Join SAS at an exciting time of technological transformation. Digital & IT is modernizing our technology landscape strengthening cloud-native capabilities and expanding the use of AI across the company. As a Machine Learning Engineer you will work with modern Azure technologies MLOps practices and Generative AI while building solutions that support both customer experiences and critical airline operations.

At SAS we offer extensive opportunities for professional development in an international fast-paced working environment. We are dedicated to the continuous growth of our employees. Working with us comes with a variety of benefits including:

• Travel Perks: Enjoy discounted travel opportunities around the world with SAS.
• Health & Wellness: Access to health and wellness benefits including a newly renovated gym with complimentary classes such as CrossFit and yoga.
• Discounts: Receive discounts from a wide range of brands as well as on transportation to and from airports airport shops hotels and car rentals.
• Work Environment: Our office location in Frösundavik offers a vibrant workspace with a restaurant café and easy access to outdoor activities in Hagaparken and Brunnsviken. Engage in running tennis outdoor gym sessions kayaking and stand-up paddling with equipment available free of charge.
• Convenient Commute: Benefit from a non-stop bus service connecting our office to Solna station and commuter trains alongside a network of cycle paths.

At SAS we are dedicated to caring for each other delighting our travelers and driving the transformation towards sustainable aviation. As a future colleague on our team youll join a culture where we work collaboratively towards common goals recognize each others contributions and celebrate successes. Our focus is on safe sustainable and punctual execution and we are committed to protecting our planet while transforming SAS for the future. This is an empowering workplace where you can thrive grow and take ownership of your work. Join us at SAS and be part of shaping the future of aviation!

• Apply by September 4 2026. We review applications continuously and encourage you to apply early as the position may be filled before the closing date. Please note that due to GDPR regulations we cannot accept applications via email.
• This is a full-time position (100%) based at our headquarters in Frösundavik Solna Stockholm. We value in-person collaboration although flexible working arrangements may be available depending on team and business needs.
• As this role contributes to security-classified systems and business-critical capabilities a background check will be conducted as part of the final stage of the recruitment process.
  
  

If you would like to learn more about the role the team or how AI MLOps and Generative AI are evolving at SAS feel free to reach out to Warren Edgren Head of AI & Automation at

Please note that applications must be submitted through our careers site as we are unable to process applications received by email.