Senior Python Software Engineer*

Posted 8 Days Ago
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Mülheim-Kärlich, Rheinland-Pfalz, DEU
Hybrid
Senior level
Design
The Role
Design, build, operate, and scale software platforms supporting the machine learning lifecycle. Responsibilities include developing ML pipelines, deploying and optimizing models for cloud and edge environments, managing secure data platforms, building REST APIs and internal tools, implementing testing and CI/CD, and maintaining production ML tooling. The role also involves architecture, automation, stakeholder management, requirements engineering, and technical decision-making.
Summary Generated by Built In
Company Description

Imagine a place where your contributions lead to real impact. Welcome to TOMRA, where innovation and sustainability are at the core of our mission. From all corners of the world, we transform how we obtain, use, and reuse the planet’s resources. With innovation at our core, we develop and manufacture sensor-based sorting technologies for the global recycling and waste management industry. Our success is reflected in more than 9,000 sorting units installed and a presence in over 100 countries - making TOMRA Recycling a trusted partner for customers around the globe. 

At TOMRA, we encourage a culture of purpose, collaboration, and continuous improvement. Our teams are empowered to make a real impact - driven by passion, guided by responsibility, and inspired by innovation we make a shared commitment to sustainability. We believe that diverse perspectives fuel creativity, and we actively cultivate an inclusive workplace where everyone feels valued and heard.

Job Description

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

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.

Qualifications

  • 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)

Additional Information

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.

#LI-MH1

Skills Required

  • Several years of professional experience delivering production machine learning systems with measurable impact
  • Expertise in Python
  • Expertise in computer vision and machine learning/deep learning tooling
  • Proficiency in MLOps, data modeling, packaging, containerization, and CI/CD
  • Proficiency in data science for vision-based model optimization
  • Knowledge of or willingness to learn TypeScript, REST API development, and modern frontend frameworks such as Vue.js or React
  • Knowledge of cloud and on-premises platforms and interfaces
  • Knowledge of TensorRT, ONNX, CUDA, and cuDNN model optimization frameworks
  • Knowledge of edge deployment on x64, ARM, or Jetson hardware

Tomra Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tomra and has not been reviewed or approved by Tomra.

  • Healthcare Strength — Feedback suggests comprehensive medical, dental, and vision coverage with supportive mental health and disability options, and low employee premium shares in some locations. This breadth and affordability are viewed as a strong part of the total rewards package.
  • Retirement Support — A company-sponsored retirement plan with matching contributions is highlighted as a core benefit that supports long-term savings. This foundation adds stability to the overall compensation offering.
  • Equity Value & Accessibility — An Employee Share Purchase Program enables broad participation with bonus or matching share mechanics tied to holding periods. This structure makes ownership more accessible and can enhance total compensation over time.

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The Company
HQ: Asker
2,366 Employees
Year Founded: 1972

What We Do

TOMRA was founded on an innovation in 1972 that began with the design, manufacturing and sale of reverse vending machines (RVMs) for automated collection of used beverage containers. Today TOMRA provides technology-led solutions that enable the circular economy with advanced collection and sorting systems that optimize resource recovery and minimize waste in the food, recycling and mining industries.

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