MLOps Engineer (ML Platform)

• Application Deadline: June 22, 2025
• Stockholm
• Hybrid

Job Description

At Lendo, Scandinavia’s largest marketplace for loans, we are on a mission to empower people to make smarter financial decisions. Our digital customer experience is powered by data & AI, helping users navigate complex financial choices with confidence.

We are looking for an MLOps Engineer to join our data & ML team. You will play a crucial role in building and owning our ML platform, integrating ML into production systems, and ensuring reliable and robust ML applications across multiple environments and markets. You will be offered a unique possibility to partake in creating an ML platform to serve multiple use cases and markets with a strong value-driven and business-centric approach.

We value people who are solution-oriented, result-oriented, genuinely care about the things they are building, take a lot of ownership, and are collaborative. If you tick these boxes and have a strong background in software engineering, knowledge of or willingness to learn more about ML, and want to be part of a dynamic team that is making a difference, we encourage you to apply.

Why join us?

• Make a difference. You will be a part of a highly competent and result-driven team in a fast-paced fintech company where data is at the heart of everything we do. You will not just deploy models, you will see your work translate directly into measurable business value. At Lendo, you will be able to say, “I made that happen” when our ML solutions drive better decisions for users and create growth for the company.
• Freedom with responsibility. We believe in trusting great engineers. You will have high ownership, real autonomy, and the space to shape your own approach, backed by a team that values accountability and collaboration. You will work in an environment that gives you room to experiment, learn, and grow.
• Work across the data spectrum. You will collaborate daily with MLOps engineers, software engineers, data scientists, and data engineers, giving you exposure to multiple facets of the ML lifecycle. This is a great opportunity to deepen your expertise or broaden your skills across disciplines.
• Hybrid setup, global culture. Join a welcoming, international company with colleagues from 20+ nationalities. Our flexible setup combines the best of in-person collaboration with the freedom of remote work. On top of that, we offer competitive salaries.

What you will do

• Take end-to-end ownership of our ML platform, ensuring it is scalable, secure, and reliable across multiple markets.
• Design, maintain, and optimize production-ready machine learning applications., including integrating ML applications into our microservices architecture.
• Use modern tech such as Kubernetes, Docker, PostgreSQL, GCP, CI/CD.
• Collaborate with data scientists, software engineers, product owners, and analysts to deliver ML-driven features.
• Implement best practices in monitoring, testing, and versioning for ML models.
• Support the team in handling complex technical environments across different markets.