MLOps Engineer (ML Platform)

We are looking for a 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.

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.

What we are looking for

• Solid programming skills, ideally in Python, with a strong foundation in software engineering principles.
• Experience working with Kubernetes, Docker, GitOps (e.g., ArgoCD), and cloud platforms (GCP preferred).
• Familiarity with event-driven architectures, microservices, and data stores like PostgreSQL.
• Comfort navigating multiple technical environments with different tools, standards, and deployment patter
• Understanding of the ML lifecycle, including data preprocessing, model evaluation, and monitoring.
• Strong communication and collaboration skills, especially in cross-functional teams.
• A proactive mindset. You thrive in dynamic settings and take ownership without waiting for perfect conditions.

What we offer:

• A place for everyone - an international environment where we have teammates coming from 20+ different countries.
• Room for you to do things your way.
• We like to inspire your passion by organising hackathons, and knowledge-sharing events, as well as giving you the opportunity to join global conferences.
• You can learn lots of things through our Schibsted Learning platform, skilled sparring partners, and a good budget for competence development.
• A wellness program for yoga, meditation, running, and other activities with colleagues and coaches.
• 4 000 SEK of health promotion allowance.
• 30 days of paid leave.
• Central office location and a hybrid workplace.
• We also chip in on your pension and give you extra Schibsted shares for free if you join our share-saving plan.
• And yes, we have the industry standard perks such as team activities and fun parties!

The recruitment process

We conduct interviews and review applications on an ongoing basis, which means the position may be filled before the application deadline. While experience is valuable, we also focus on your potential. To ensure a fair and objective recruitment process, we use work psychology assessments. As part of the process, you will be asked to complete a personality test and a logical reasoning test.

We look forward to your application!