Company Description
TOMRA Food is a multinational organisation and a leading provider of sensor-based sorting, peeling and integrated post-harvest solution for the food industries. Transforming global food production to maximise food safety and minimise food loss by making sure Every Resource Counts™, has been our strength for over 50 years.
At TOMRA, we want people to innovate, show passion in their work and be responsible. We encourage the freedom to innovate and take risks that result in breakthroughs that challenge the status quo. We value passion that focuses and commits to meeting success. We believe in a responsible and safe mindset that takes care of our customers, products, and fellow employees.
Join the resource revolution!
Job Description
We are looking for a Full Stack Software Engineer to design, develop and maintain TOMRA's digital platforms, supporting the scalable deployment, monitoring and lifecycle management of machine-learning models used across our sensor-based sorting and analytics systems.
You will build and optimise software systems that leverage machine-generated data to enable advanced analytics, model feedback loops, and seamless integration with cloud-based services and internal data platforms. Working closely with data scientists, cloud engineers, product teams and systems engineers, you will help ensure reliable data flows, robust model operations and the successful delivery of data-driven features.
You will also contribute to cross-functional software projects that use machine-generated information to create new digital services, performance insights, and automation capabilities. Ocassional travel may be required for onsite collaboration, deployment activities, or cross-team workshops.
Key Responsibilities:
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Develop and maintain software components for TOMRA’s digital platforms
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Support the deployment, monitoring, and lifecycle management of machine-learning models.
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Build and enhance data pipelines and services that process and distribute machine-generated information to digital products and cloud systems.
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Extend and optimise existing MLOps tooling, integrations, and communication interfaces to improve performance and scalability.
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Perform unit and end-to-end testing to ensure software quality, robustness, and maintainability.
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Investigate and resolve issues raised by data science, digital, and platform teams.
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Collaborate with data science, cloud engineering, machine software, and service teams to align data flow and operational requirements.
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Provide technical support for model deployment processes and data-driven features.
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Contribute ideas for improving software quality, automation, and development efficiency.
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Create and maintain technical documentation for platform components and operational processes.
Qualifications
About You:
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Bachelor's a Master's degree in Computer Science or related field.
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Excellent programming skills in JavaScript/TypeScript; experience with Node.js and React is highly valued.
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Strong software engineering fundamentals, including design patterns, testing practices, and CI/CD workflows.
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Experience with GraphQL, Prisma, and PostgreSQL, or similar API and database technologies.
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Solid understanding of cloud-integrated systems and data flows; exposure to Microsoft Azure or comparable cloud platforms is a plus.
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Familiarity with modern frontend technologies such as Tailwind CSS and testing frameworks like Playwright.
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Understanding of system interfaces between software, data pipelines, and cloud services.
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Excellent interpersonal skills with the ability to collaborate effectively across teams.
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Excellent written and spoken English.
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Curious, proactive and motivated to learn and contribute to TOMRA’s digital and MLOps capabilities.
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Strong technical problem-solving, troubleshooting, and follow-up skills.
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Organised, detail-oriented and able to work independently and under pressure.
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Willingness to travel internationally to support new digital solutions and/or new applications (<10%).
Additional Information
How to Apply:
If this sounds like you, we would love to hear from you! All applications will be managed in the strictest confidence.
TOMRA is proud to be an Equal Opportunity Employer and provides equal employment opportunities to all employees and applicants regardless of race, colour, religion, gender, gender identity, age, national origin, disability, parental or pregnancy status, marriage and civil partnership, sexual orientation, veteran status, or any other characteristics. Reasonable accommodations will be made and will be provided as requested by candidates taking part in all aspects of the selection process.
