F.H. Bertling Shipping

WE ARE HIRING

Hamburg, Germany

Globally set up

Full time

We are looking for a Machine Learning Engineer (m/f/x) working in the International department for Bertling in Hamburg, Germany.

Deadline for Applications: 30 November 2026

The Successful Applicant Will Be Involved With

• Monitor model performance, data quality, reliability, and potential model drift
• Develop, train, evaluate, and deploy machine learning models for real-world business and logistics use cases
• Work with data scientists, software engineers, business stakeholders, and logistics experts to translate business challenges into scalable technical solutions
• Build reliable data pipelines and feature engineering processes for training and production environments
• Productionize machine learning models using appropriate software engineering
• Contribute to the design of machine learning platforms, APIs, and data products
• Document models, assumptions, interfaces, processes, and results clearly
• Support the adoption of best practices in machine learning, software development, testing, version control, and deployment
• Stay up to date with developments in artificial intelligence, machine learning, cloud technologies, and responsible AI

The Successful Applicant Will Have/be

• Degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field
• Professional experience developing and deploying machine learning solutions
• Solid understanding of machine learning concepts, model evaluation, statistics, and data preparation
• Familiarity with cloud platforms and modern data or machine learning infrastructure
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Strong analytical and problem-solving skills
• Fluent English, both written and spoken

Benefits

• Permanent employment contracts and many opportunities to grow and develop a career
• Attractive and competitive salary based on regular performance reviews
• Opportunity to make an impact and contribute to our responsible logistics solutions
• Join our global and multinational team with the option to gain experience abroad
• Flexible work models depending on role and geography and modern work infrastructure and devices
• A modern office environment in a central location with good transport links
• A pleasant and collegial work environment with room for ideas, feedback and innovation
• Staff health initiatives and company-wide training programs for employee wellbeing