Machine Learning Engineer*

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

You design, implement, test, deploy, and maintain data- and model-centric systems that deliver production-grade ML functionality. 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 few words about yourself, and your motivation for this position and joining TOMRA in the "Message to manager" field.

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