Artificial Intelligence Engineer

METTLER TOLEDO is a global leader in precision instruments and weighing solutions, known for delivering high-quality, innovative products across various industries. Our X-ray Division specialises in cutting-edge inspection technologies that help customers ensure product safety and quality - focusing on designing and manufacturing advanced X-ray inspection systems that detect contaminants, verify product integrity, and support compliance with industry standards.

Join us as an AI Engineer
and use your skills in deep learning and computer vision to create smart AI systems for detecting foreign objects in X-ray inspections, mainly for the food and pharmaceutical industries. You'll tackle exciting challenges like spotting tiny contaminants—metal, glass, or bone fragments—and making sure AI models run smoothly and quickly on production lines. As our AI expert, you'll work closely with global teams to bring the latest AI technology into our inspection systems.

Be part of a mission to build intelligent, reliable, and efficient solutions that raise the bar for product safety and quality.

What You'll Do

• Design, train, and improve AI algorithms for detecting objects and segmenting images in grayscale X-ray scans.
• Enhance AI models for better accuracy, reliability, and faster results.
• Collect, label, and prepare X-ray data for training and testing AI models.
• Research new AI methods like transformers and diffusion models for possible industrial use.
• Develop anomaly detection models to find defects and contaminants.
• Ensure secure and efficient data transfer between inspection systems and external devices in isolated environments.
• Use model compression techniques to make AI models efficient without losing accuracy.
• Customize AI models to meet food and pharmaceutical safety standards, detecting contaminants like metal, bone, glass, and plastic.
• Align AI solutions with safety regulations such as HACCP, ISO, and FDA standards.
• Collaborate with hardware teams to improve X-ray imaging quality.
• Test AI models on-site and in labs to ensure they work well in real production.
• Help prepare user manuals and regulatory documents following industry standards.

What You Need to Succeed

• Master's degree or higher in Computer Science, Electrical Engineering, Biomedical Engineering, Artificial Intelligence, or a related field
• Proven experience in deep learning model development using PyTorch and/or TensorFlow, with CUDA acceleration
• Strong programming expertise in Python and C++, with practical knowledge of OpenCV and other vision libraries
• Demonstrated proficiency in object detection and image segmentation frameworks (e.g., YOLO, U-Net, Mask R-CNN)
• Experience with ONNX model conversion and deployment pipelines
• Effective cross-functional communicator, comfortable working across global teams and diverse technical disciplines
• Self-motivated, detail-oriented, and capable of managing multiple projects simultaneously

Our Offer to You

• Competitive salary
• Employee bonus plan
• Free onsite parking
• Career progression and development opportunities
• 25 days holiday plus bank holidays
• 4x salary Life Assurance
• Access to 24/7 Employee Assistance Programme to support mental health and wellbeing.

About Mettler Toledo

METTLER TOLEDO is a global leader in precision instruments and services. We are renowned for innovation and quality across laboratory, process analytics, industrial, product inspection, and retailing applications. Our sales and service network is one of the most extensive in the industry. Our products are sold in more than 140 countries, and we have a direct presence in approximately 40 countries. For more information, please visit

Equal Opportunity Employment

We promote equal opportunity worldwide and value diversity in our global workforce, which reflects the diversity in the many countries in which we operate internationally. Our commitment to Equal Opportunity and Diversity begins with our recruitment and selection process. We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the job application or interview process. If you consider yourself to have a disability or learning difficulty which means you are unable to complete the application process online, please get in touch by email to

so that we can make alternative arrangements for you. For more information on our commitment to Sustainability, Diversity and Equal Opportunity please visit us
here
.