About the job

SEB is more than just a bank with an IT function. We are a progressive tech company powered by innovation and fueled by collaboration. From Java to AI and everything in between, we offer you an impressive tech stack and several technology paths. Together we're innovating for a sustainable society and building the tech arena of the future, a welcoming space for everyone.

Do you see the potential in data and want to contribute to accelerating our data driven automation journey using AI, Machine Learning and other data driven automation tools? Then this might be the right challenge for you!

About the Role

We are seeking a Senior Machine Learning Engineer to join our data team and lead the creation of scalable AI/ML solutions. You’ll work in the Fraud Prevention Team, helping various business areas use data to automate processes, improve decisions, and fight financial crime.

This position lets you work on impactful, real-time machine learning systems in a collaborative and agile setting, where technical skills and ownership matter.

As a Senior Machine Learning Engineer, you’ll manage machine learning solutions from start to finish - including design, deployment, monitoring, and improvement. You’ll collaborate with Data Engineers, Data Scientists, MLOps Engineers, Software Testers, and other teams to deliver reliable AI solutions that support fraud prevention and protect customers.

You’ll work closely with engineers, data scientists, solution architects, and business stakeholders to build AI-powered products that drive innovation and efficiency across the organization.

Who You Are

You are an analytical problem solver with solid experience in machine learning, software engineering, and running systems in production. You enjoy tackling technical challenges and always seek to improve your skills and ways of working.

You work well with others, take ownership of your solutions, and communicate clearly in English. You are comfortable visualizing data and explaining technical insights to different audiences, and you thrive in a team-focused, responsible, and continuously improving environment

Core Responsibilities

Lead and help deliver complex AI/ML projects focused on scalability, reliability, and quality.
Design and implement cloud-based ML systems (preferably on GCP).
Build and operate real-time ML and MLOps workflows in production.
Oversee the full lifecycle of ML solutions, ensuring they are robust, high-performing, and secure. Mentor junior engineers and promote best practices.
Work with business and technical teams to turn requirements into valuable AI/ML solutions.
Identify and drive AI/ML use cases that improve processes and customer experience.
Develop, train, and evaluate machine learning models for business and risk challenges.
Manage technical risks and coordinate across teams.
Collaborate with cross-functional teams to deliver production-ready, maintainable systems.

To Thrive in This Role, You Have

MSc in Computer Science, Data Science, Statistics, Mathematics, or similar—or equivalent experience.
5+ years of hands-on experience in machine learning and software development, with ML models in production.
Strong background in designing, building, and running real-time ML and MLOps workflows.
Deep knowledge of system architecture, performance, scalability, and security.
Proficient in Python and SQL; good understanding of data warehouse architecture.
Proven MLOps/DevOps skills, including CI/CD, testing, monitoring, and supporting ML systems in production.
Experience in data engineering, software engineering, and data science for effective teamwork.
Strong experience deploying ML models in cloud environments, preferably Google Cloud Platform (GCP).
Experience with Git, cloud platforms, and remote-first collaboration.

Nice-to-have:

Experience with containerized, microservices-based architectures using Docker and Kubernetes in regulated environments (e.g., Fraud Prevention or AML).
Experience designing and deploying end-to-end ML workflows on GCP for fraud detection, transaction monitoring, or risk scoring.
Experience running high-throughput, low-latency ML prediction services at scale.
Experience building real-time ML systems for fast decisioning, alerting, or scoring in fraud and financial crime prevention.
Strong statistical skills applied to fraud analytics, anomaly detection, and risk modeling, with good software design for scalable systems.
Experience using Infrastructure as Code (Terraform) to manage and secure GCP infrastructure in compliance-driven environments.

What we offer

Extensive training and learning opportunities.
Work-life balance.
International opportunities and working environment.
Access to SEB staff banking with exclusive benefits.
Innovative company in forefront of technology.

Do you want to be part of SEB?

Attach your CV and a personal letter describing yourself and how you can contribute to our journey. We will contact candidates on a running basis, feel free to send in your application today, but no later than 2026-01-31.

If you have questions about the position, please contact Delila Mauritzon, Team Manager – Fraud Prevention, at delila.mauritzon@seb.se

SEB Sweden has a redeployment responsibility, why this position might be covered by internal redeployment.

Learn more about working at SEB at www.sebgroup.com/career