Job Description

We are looking for a Senior Python Backend Developer to join our Machine Learning Team, contributing to the deployment and maintenance of machine learning solutions in production environments.

In this role, you will work closely with ML engineers to bridge the gap between model development and scalable, reliable production systems. You will design and implement backend services that enable robust ML workflows, ensuring performance, scalability, and operational excellence in cloud environments.

What you’ll bring

Proficiency in Python and experience with the Python data stack:

Pandas, NumPy, scikit-learn, and related libraries.

AWS Cloud experience (e.g., Lambda, SQS, RDS, SageMaker).

Strong understanding of software engineering principles and version control (Git).

Familiarity with ML frameworks and tools such as PyTorch, MLflow, or similar.

Experience with containerization (Docker) and CI/CD pipelines.

Preferred Qualifications:

Knowledge of RESTful API development.

Exposure to MLOps practices and tools.

Experience with monitoring and logging solutions for ML systems.

Knowledge of database systems (e.g., PostgreSQL).

Exposure to data engineering or data warehouse projects.

What you’ll do

Develop and maintain robust, efficient Python production applications.

Ensure best practices for code quality, testing, and documentation.

Optimize performance and scalability of ML services in cloud environments.

Support ML engineers in developing ML workflows and experiments:

Set up data pipelines for new data sources.

Run and scale experiments.

Develop evaluation metrics and monitoring systems.

Working together

Hybrid: This is a hybrid role, where you will spend at least eight days a month at our office, enjoying the benefits of connecting and collaborating with your colleagues in person.

What we offer

Impactful Work: You’ll be working on the backbone of our ML solutions, directly influencing how data-driven insights are delivered.

Technical Challenges: Build scalable systems that support advanced machine learning workflows.

Collaborative Team: Work closely with ML engineers, product managers, and operations teams to deliver high-quality solutions.

Continuous Learning: We value innovation, knowledge sharing, and professional growth.

Join us at Wolters Kluwer and be part of a global technology company that makes a difference every day. Be the difference. If making a difference matters to you, then you matter to us.

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.