ABOUT THE POSITION
We’re looking for a Machine Learning Engineer Lead to own the technical delivery and engineering planning of our ML flows. This is a leadership role focused on designing scalable ML infrastructure, productionizing models, and planning team efforts.

You’ll work closely with our Lead Data Scientist, who owns modeling methodology and domain insight. Your job is to turn great data science into great software: robust, scalable, and maintainable ML systems ready for production.

This role combines hands-on ML engineering with strategic planning, technical leadership, and coordination of team workflows.

KEY RESPONSIBILITIES
As a Machine Learning Engineer Lead you will:

• Lead technical planning and execution of ML engineering work, ensuring models and systems are delivered reliably and at scale.
• Translate data science outputs into production-grade machine learning pipelines using Python and AWS.
• Collaborate closely with the Lead Data Scientist to ensure handoff from modeling to deployment is smooth and robust. Design and maintain ML infrastructure using AWS SageMaker, S3, Lambda, Step Functions, etc.
• Define and own technical architecture for model deployment, monitoring, and retraining workflows.
• Manage technical sprint planning, task assignment, and capacity planning for the ML engineering team.
• Drive code quality, reproducibility, and automation in model training and deployment.

CANDIDATE REQUIREMENTS

• 5+ years of experience in ML development, with at least 1-2 years in a leadership or planning role.
• Proven experience with Python, including common ML libraries (e.g., scikit-learn, pandas, PyTorch/TensorFlow).
• Experience planning, assigning, and following up work using Linear (or similar tools like Jira), with a structured approach to sprint planning and progress tracking.
• Experience managing backlogs, sprint planning, and resource allocation for technical teams.
• Strong knowledge of AWS services, especially SageMaker, S3, Lambda, and Step Functions.
• Experience in building, deploying, and maintaining ML models in production environments.
• Comfortable working with CI/CD pipelines, version control (Git), and containerized environments (e.g., Docker).
• Strong communication skills and ability to align cross-functional teams.

MERITORIOUS SKILLS

• Experience in Open Banking/PSD2.
• Experience from working with credit information within Financial Services

WHAT KREDITZ CAN OFFER

• Growth Journey: A unique chance to be part of a rapidly growing scaleup where every team member plays a crucial role in the company's success.
• Inclusive Culture: Join a diverse, fun-loving, and collaborative team that celebrates both big and small milestones together.
• Wellness Perks: 24/7 access to an on-site gym, sauna, and sports center, plus a wellness allowance.
• Medical insurance: Quick access to professional medical advice and care
• Compensation: Fixed salary

APPOINTMENT OF ROLE

As soon as possible

SCOPE

Full-time, permanent employment (tillsvidareanställning)

SALARY

Fixed monthly salary

REPORTING

Head of Analytics

WORKPLACE

Our office is in Danderyd, Stockholm

RECRUITMENT PROCESS

We interview candidates on an ongoing basis (ongoing selection)

CONTACT

Lorenzo Puccio, COO, lorenzo@kreditz.com