Bunzl plc · 5 hours ago
AI Engineer
Bunzl is a company that combines the global reach and resources of an industry leader with an entrepreneurial spirit. McCue is seeking an AI Engineer to join their Innovation team, focusing on developing intelligence for safety-focused projects that interpret visual data for autonomous inspection systems. The role requires hands-on work across AI model development, dataset creation, and prototype validation, contributing to building innovative solutions within the company.
B2BHealth CareLogisticsSupply Chain ManagementWholesale
Responsibilities
Lead and maintain the development of the AI and perception architecture for different projects
Collaborate cross-functionally with robotics, mechanical, and software engineers to define system requirements
Build an internal knowledge base around AI and machine learning
Ensure all AI models and datasets meet quality, compliance, and data security standards
Play a leadership role in shaping future hiring, partnerships, and technology roadmap for different projects
Design, train, and evaluate computer vision models (e.g., YOLOv8, object detection, segmentation, classification) for industrial inspection tasks
Define and manage datasets, including data organization, annotation standards, augmentation strategies, and quality checks
Work with labeling tools and workflows such as Roboflow, CVAT, or similar platforms
Optimize models for edge deployment using tools such as ONNX and TensorRT
Develop and maintain evaluation frameworks using real-world metrics (precision, recall, mAP) tied to operational outcomes
Collaborate with robotics and systems engineers to ensure models integrate cleanly into perception pipelines
Support the design of data storage, retraining loops, and model versioning practices
Experiment with approaches to improve robustness across lighting conditions, camera angles, and facility variability
Qualification
Required
Bachelor's or master's degree in computer science, robotics, electrical engineering, or related field
3–6 years of experience in AI, computer vision, or applied machine learning (industrial or robotics applications preferred)
Proven ability to train and deploy object detection or segmentation models on real-world datasets
Experience optimizing models for deployment on edge devices (Jetson, ONNX, TensorRT preferred)
Solid Python programming skills; comfort working in Linux-based environments
Experience working with labeled datasets and evaluating model performance in applied settings
Comfortable operating in an early-stage, fast-moving environment with evolving requirements
3 year(s): Artificial Intelligence
Benefits
Competitive salaries
A comfortable work environment
A full range of benefits including a 401k with a company match
Company
Bunzl plc
We provide a one-stop-shop, on-time and in-full specialist distribution service accross more than 30 countries, supplying a broad range of internationally sourced non-food products to a variety of market sectors.
Funding
Current Stage
Public CompanyTotal Funding
unknown1957-06-20IPO
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