Leading global distributor of chemicals and ingredients, connecting customers and suppliers within networks, headquartered in Essen, Germany.

Brenntag, the global leader in chemical and ingredient distribution, is seeking a Machine Learning Engineer to join their innovative team in Amsterdam. This role presents an exciting opportunity to work at the intersection of machine learning and enterprise-scale operations.

The position requires 3-5 years of experience in Machine Learning Engineering, with a strong focus on MLOps and production deployment of ML models. You'll be responsible for integrating machine learning models with operational applications, designing APIs, and managing model deployment at scale. The role combines hands-on technical work with collaborative team engagement.

As a Machine Learning Engineer at Brenntag, you'll work in a unique greenfield environment where you can drive real change in a global business. The company, headquartered in Essen, Germany, operates in 72 countries with over 17,500 experts across 600 locations. This provides an exceptional opportunity to work on high-impact projects with international reach.

The ideal candidate should have a bachelor's degree in a relevant field and extensive experience with tools like Databricks, GitLab pipelines, and AWS. Strong programming skills in Python, Bash, and C++ are essential, as is experience with MLOps and model lifecycle management. You'll be part of a passionate and experienced team, working in a hybrid model that combines remote flexibility with office presence.

Brenntag offers a compelling package including competitive compensation, a modern office environment with amenities like a canteen and social activities, and the opportunity to work with a friendly, supportive international team. The company strongly values diversity and inclusion, welcoming applications from candidates of all backgrounds.

This role is perfect for someone who wants to combine technical expertise with business impact, working at a company that's at the forefront of global chemical and ingredient distribution. You'll have the chance to innovate, learn, and grow while contributing to meaningful projects that drive business value.

Machine Learning Engineer position at Brenntag focusing on developing and deploying ML models at scale, requiring 3-5 years of experience in MLOps and ML engineering.

Machine Learning Engineer

Leading global distributor of chemicals and ingredients, connecting customers and suppliers within networks.

Brenntag, the global leader in chemical and ingredient distribution, is seeking a Machine Learning Engineer to join their innovative team in Amsterdam. This role offers a unique opportunity to work on high-impact machine learning applications in a global business environment. The position involves integrating and optimizing ML models, designing distributed systems, and working with cutting-edge technologies like Databricks and AWS.

As an ML Engineer, you'll be responsible for building and deploying scalable machine learning solutions that directly impact business operations. You'll work alongside data scientists and engineers in a collaborative, international environment, participating in the full analytics engineering lifecycle. The role requires expertise in Python, MLOps, and cloud infrastructure, with a focus on delivering production-ready solutions.

Brenntag offers an attractive work environment with a hybrid model, combining the flexibility of remote work with a modern office space featuring amenities like a canteen and social activities. The company's commitment to innovation is evident through initiatives like the Product Engineering Guild, where you can share ideas and learn from colleagues.

The ideal candidate will bring 3-5 years of ML engineering experience, strong programming skills, and a passion for solving complex problems. You'll be joining a company with over 17,500 experts across 72 countries, offering excellent opportunities for professional growth and impact on a global scale. Brenntag's inclusive culture values diversity and fosters collaboration, making it an ideal place for ambitious ML engineers looking to advance their careers.

Machine Learning Engineer position at Brenntag in Amsterdam, focusing on building and deploying scalable ML solutions with 3-5 years experience required.

Brenntag, the global leader in chemical and ingredient distribution, is seeking a Machine Learning Engineer to join their innovative team in Amsterdam. This role offers a unique opportunity to work on high-impact machine learning applications in a global business environment. The position involves integrating and deploying ML models at scale, designing distributed systems, and working with cutting-edge technologies like Databricks and AWS.

As an ML Engineer, you'll be responsible for building and optimizing machine learning models, developing APIs, and working closely with data science and engineering teams. The ideal candidate should have 3-5 years of experience in Machine Learning Engineering, strong programming skills in Python, Bash, and C++, and experience with MLOps and model lifecycle management.

Brenntag offers a modern hybrid workplace with an engaging office environment, including perks like a canteen, Friday social events, and gaming facilities. The company values diversity and innovation, providing opportunities to work with an international team and make significant contributions to real-world business solutions.

The role combines technical expertise with business impact, offering the chance to work on greenfield projects while being part of a global organization with over 17,500 experts across 72 countries. This position is perfect for someone who wants to blend advanced technical work with practical business applications in a supportive, collaborative environment.

Machine Learning Engineer position at Brenntag in Amsterdam, focusing on ML model deployment, API development, and MLOps with 3-5 years experience required.

Brenntag, the global leader in chemical and ingredient distribution, is seeking a Machine Learning Engineer to join their innovative team in Amsterdam. This role offers a unique opportunity to work on high-impact machine learning applications in a global business environment. The position involves integrating and optimizing ML models, designing distributed systems, and working with cutting-edge technologies like Databricks and AWS.

As an ML Engineer, you'll be responsible for building and deploying scalable machine learning solutions that directly impact business operations. You'll work alongside data scientists and engineers in a collaborative, international environment, participating in the full analytics engineering lifecycle from design to deployment.

The ideal candidate brings 3-5 years of ML engineering experience, strong programming skills in Python, Bash, and C++, and expertise in MLOps and model lifecycle management. You'll have the opportunity to work in a hybrid model, enjoying modern office amenities and a strong team culture.

Brenntag offers a competitive compensation package and emphasizes professional growth through their Product Engineering Guild. The company's global presence, with 17,500+ experts across 72 countries, provides extensive opportunities for career development and impact. They maintain a strong commitment to diversity and inclusion, welcoming applications from all backgrounds.

This role is perfect for someone who wants to combine technical expertise with business impact, working on real-world applications of machine learning in a global enterprise setting. You'll be part of driving digital transformation in a traditional industry, with the backing of a major global organization.

Machine Learning Engineer position at Brenntag in Amsterdam, focusing on developing and deploying scalable ML solutions with 3-5 years experience required.

Brenntag Engineering Jobs

Leading global distributor of chemicals and ingredients, connecting customers and suppliers within networks, headquartered in Essen, Germany.