(Senior) Machine Learning Engineer
Full-time remote contract building and deploying machine learning systems for clients: ML pipelines, MLOps workflows and scalable ML platforms on Microsoft Azure.
Last updated November 3, 2026
- Employment type
- Contract
- Location
- Remote
- Where you can work from
- EU (all 27 member states)
- Department
- Data & AI Engineering
- Posted
- November 3, 2026
About the engagement
Bandpey GmbH is a data and AI software company in Munich, Germany. We build and deliver innovative, scalable solutions that drive business transformation across industries, from financial services to retail. As a Machine Learning Engineer you will use your technical expertise to show how our platforms and AI-driven solutions solve complex business challenges, and build and deploy machine learning models that deliver tangible results for our clients.
What you will do
- Engage with clients to understand their business needs and translate them into technical solutions.
- Design, develop and streamline ML pipelines for efficient and secure deployment of AI solutions.
- Lead the integration of AI-based analytics solutions, particularly using OpenAI technologies for industrial applications.
- Collaborate with multidisciplinary teams, turning complex technical challenges into practical solutions.
- Architect scalable ML platforms on Microsoft Azure for client projects and internal product development.
- Implement MLOps workflows for continuous training, deployment and monitoring of machine learning models.
- Stay on top of AI/ML advancements and apply them in real-world financial services and retail applications.
What you bring
- Bachelor's or Master's degree in Computer Science, Engineering or a related field, or equivalent work experience.
- 5+ years of experience in ML Engineering or Data Science, with deep expertise in Microsoft Azure services.
- Strong proficiency in Python and SQL, and experience with hyperscaler platforms (preferably Azure).
- Proven experience building scalable, high-performance machine learning systems.
- Familiarity with the full lifecycle of AI product development, from concept to deployment.
- Expertise in MLOps practices, deployment workflows and model performance monitoring.
- Ability to create and communicate technical architecture designs (HLD and LLD).
- Experience deploying models in enterprise settings, including infrastructure, networking and security considerations.
- Strong problem-solving skills and the ability to explain technical concepts to a non-technical audience.
Nice to have
- Experience with OpenAI technologies in industrial or enterprise applications.
- Experience in financial services or retail.
Engagement details
- Full-time contract.
- Remote; you must be able to work from within the EU.
How to apply
Email direct@bandpey.com with the role title in the subject line, a short summary of your relevant experience, your availability and your daily rate. See our Privacy Statement for how we handle applicant data.