TOMRA

Senior Python Software Engineer*

Mülheim-Kärlich, RP, Germany · Hybrid · Full-time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerTOMRA
LocationMülheim-Kärlich, RP, 56218, Germany
Work styleHybrid
Employment typeFull-time
Employer posted24 days ago

As a Senior Python Software Engineer, you will design, build, operate, and scale the technical platforms, services, and tools that support the entire machine learning lifecycle. You will create the foundation for data collection, model training, deployment, and operations, working at the intersection of software engineering, data platforms, MLOps, and machine learning.

The primary focus of this role is the development of production-ready software solutions, platforms, and workflows. Day-to-day responsibilities will mainly involve software development, architecture, automation, and system integration, rather than training machine learning models.

Typical tasks span:

Machine Learning Engineering

Build end-to-end ML training pipelines (ingestion, validation, transformation, training, evaluation)
Deploy, optimize and package models for inference
Support the platform team to serve models in cloud
Support the ai runtime team to serve models on edge/sorters
Participate in data and model centric research and innovation

Show full description

Data Management

Build, integrate and maintain secure data platforms (e.g., SQL/NoSQL warehouses, object storage, feature stores)
Ensure data security, privacy, and compliance

Service & ML Tooling

Design and implement REST APIs to expose ML services and data platform functionality
Develop and maintain internal tools and web-based UIs that support ML workflows

Software Engineering

Apply software engineering practices for version control, code reviews, and accurate technical documentation
Develop robust and maintainable code with unit, integration, and performance tests and knowledge transfer
Containerize components and implement CI/CD pipelines
Maintain and troubleshoot ML tooling in production
Close collaboration and alignment with our internal users

We expect high ownership of assigned projects including stakeholder management, requirements engineering, project management and technical decisions.

Several years of proven professional experience delivering production ML systems with measurable impact
Expertise in Python
Expertise in computer vision and ML/DL tooling
Proficiency in MLOps: data modelling, packaging, containerization, CI/CD
Proficiency in data science for vision-based model optimization
Knowledge with (or willingness to learn) TypeScript, REST API development, and modern frontend frameworks (e.g., Vue.js, React)
Knowledge in cloud and on-prem platform and interfaces
Knowledge in model optimization frameworks (TensorRT, ONNX, CUDA, cuDNN) and edge deployment on hardware (x64, ARM/Jetson)

What to Expect

Modern technologies and AI-driven systems
A hands-on engineering environment with direct impact on machine performance
Close collaboration with international teams
Informal culture with low hierarchies and short decision paths
Norwegian company culture with an open “you” mentality
Opportunity to actively shape future machine developments

What We Offer

Hybrid working model
Flexible and international working environment
Modern office and testing facilities
Sustainable and future-oriented industry
Competitive salary package including bonus
Laptop and mobile phone
Long-term development opportunities within an international technology company

If you enjoy solving complex technical challenges and want to see your software running on real industrial machines, we would love to hear from you.

Does this sound like the right opportunity for you?

Please send your CV, a motivation letter and certifications.

Application Process: We will review applications throughout the posting period and expect to start first-round interviews from early August 2026 onwards.

*Tomra does not differentiate on the basis of gender, race or ethnicity, religion, color, sexual orientation or identity, disability, age and other protected statuses as given by applicable law. We are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer.

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