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 a software engineer with a strong interest in machine learning to join our data & ML team. You will play a crucial role in building and owning our ML platform, integrating ML into production systems (we have already done a lot of that), 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 other 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 and other engineers 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.
Who you are:
We believe you have
- Solid programming skills, ideally in Python, with a strong foundation in software engineering principles.
- Comfort navigating multiple technical environments with different tools, standards, and deployment patterns.
- Understanding of the ML lifecycle, including data preprocessing, model evaluation, and monitoring.
- 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.
- Strong communication and collaboration skills, especially in cross-functional teams.
- 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 (2 days a week in the office).
- 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!
Lendo, part of Lendo Group, is a leading marketplace for loans. On our marketplace people seek guidance, browse, get and manage consumer loans, car loans, credit cards, business loans and mortgages. Today we operate in Scandinavia including 250+ employees working each day to empower people to make smart financial decisions that actually make a difference in their lives. Since our humble beginning back in 2007, we have helped thousands of people get a fair price on loans, get in control and let the lenders compete for their business.
Since the launch, we have worked hard to make the market for loans more transparent and digital. After the success in Sweden, we expanded into the Scandinavian countries of Norway and Denmark.
Since 2009 Lendo is also a part of the Vend family of brands.
Lendo has always been about helping people keep control over their personal finances and lenders finding quality customers. As a leader in our category, we have made it easier for people to get a fair price on loans, often reducing their interest substantially.
We believe in a market built on trust and transparency. This is why we strive for openness between our customers and partners.