Senior ML/Backend Engineer

Join Our Team as a Senior ML/Backend Engineer

Are you a seasoned ML/Backend Engineer looking to make a tangible impact on business-critical challenges? Do you want to be part of a purposeful and value-driven company on a mission to empower consumers to make smarter financial decisions? We’re seeking someone like you to join our dynamic data & machine learning team at Lendo, a leading Scandinavian marketplace for loans and Sweden's biggest comparison service for private loans, business loans, and mortgages.

Role Overview

In this role, you will play a pivotal part in bridging the gap between traditional software engineering and cutting-edge machine learning, deploying, integrating, and maintaining models within our production systems. As an experienced ML/Backend Engineer, you’ll collaborate closely with data scientists, data engineers, software engineers, product owners, designers, and data analysts to translate innovative machine learning models into scalable, robust software solutions that drive real business outcomes. You will have the autonomy to take ownership of production initiatives, working independently while also contributing to a collaborative team environment.

At Lendo, we believe in empowering our employees to grow and thrive in their careers. As a Senior ML/Backend Engineer, you’ll play a key role in driving innovation by implementing and integrating machine learning models that directly impact how we empower consumers to make smarter financial decisions. This role offers the opportunity to expand your expertise by working with the latest technologies in cloud computing, microservices, and MLOps, with continuous learning and professional development. Your contributions will not only enhance our technology stack but also strengthen Lendo's position as a leading Scandinavian marketplace for loans, ultimately helping millions of consumers make informed financial decisions.

Key Responsibilities

• Deploy and manage machine learning models in our production environments using tools like Kubernetes and Docker.
• Integrate ML applications into our microservices architecture, ensuring seamless communication through message brokers such as RabbitMQ.
• Collaborate with cross-functional teams to translate machine learning models into scalable, robust software solutions.
• Maintain and continuously optimize the performance, scalability, and reliability of deployed ML applications.
• Drive continuous improvement in our MLOps practices to enhance the security, maintainability, and scalability of integrated models, reducing the development time for new models.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related STEM field, or equivalent industry experience.
• Strong programming skills in Python, with a solid understanding of software engineering principles.
• Hands-on experience with cloud platforms (e.g., GCP, AWS) and containerization technologies like Docker.
• Proven experience in deploying and managing applications using Kubernetes.
• Experience integrating new applications within a microservices architecture, with a strong understanding of event-driven design.
• Proficiency in working with relational databases.
• Excellent problem-solving abilities combined with strong collaboration skills in cross-functional teams.
• Demonstrated ability to thrive in a high-paced, dynamic work environment.

Nice To Have

• Experience in machine learning model development, deployment, and integration in production environments.
• Good understanding of the machine learning model development lifecycle, including data pre-processing, feature engineering, and model evaluation.
• Experience with the development and implementation of large language models.
• Experience with programming in Java and Go.

What We Offer

• A place for everyone - an international environment where we have teammates coming from 20+ different countries.
• Be a part of the Schibsted family with endless possibilities.
• Room for you to do things your way.
• We like to inspire your passion by organizing 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!

Join us at Lendo and be part of a team that’s making a difference in the financial services industry.