Machine Learning Scientist

Introduction JOIN US! We seek a Machine Learning Scientist to join our SymphonyAI Retail team in London. As a Machine Learning Scientist at SymphonAI - Retail, you will join our team developing shelf intelligence—a computer vision–powered system that helps major retailers understand real-time shelf conditions and drive in-store execution. This hands-on, applied research role is ideal for early-career scientists passionate about building ML products from the ground up—empowering retailers to stay competitive and meet consumers’ evolving needs. Job Description What You’ll Do Design, train, and deploy deep learning models for product recognition, shelf segmentation, and visual reasoning Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end systems Perform error analysis and iterate on models continuously in production environments What You’ll Bring Master’s degree with 3+ years of experience or Ph.D. with 0–2 years of experience in machine learning or computer vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication skills and proven ability to collaborate across cross-functional teams Bonus: Prior experience with computer vision tasks (e.g., object detection, OCR, image classification) or retail/merchandising data Working Hours: Ability to maintain at least a 50% overlap with US working hours (PST timezone) to coordinate with the US team and support both US and EU clients. What We Offer Competitive Salary and benefits package designed to attract and retain top talent. Collaborative and Inclusive Work Environment that values diversity and teamwork. Access to the Latest Technologies and tools to enhance your work and skills. A Chance to Make a Tangible Impact on the retail industry through cutting-edge AI solutions. #LI-EH1 #LI-Hybrid About Us SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here, for more information about how we hire, what’s in it for you, our culture and values.What You’ll Do Design, train, and deploy deep learning models for product recognition, shelf segmentation, and visual reasoning Evaluate and implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end systems Perform error analysis and iterate on models continuously in production environments What You’ll Bring Master’s degree with 3+ years of experience or Ph.D. with 0–2 years of experience in machine learning or computer vision Strong foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication skills and proven ability to collaborate across cross-functional teams Bonus: Prior experience with computer vision tasks (e.g., object detection, OCR, image classification) or retail/merchandising data Working Hours: Ability to maintain at least a 50% overlap with US working hours (PST timezone) to coordinate with the US team and support both US and EU clients. What We Offer Competitive Salary and benefits package designed to attract and retain top talent. Collaborative and Inclusive Work Environment that values diversity and teamwork. Access to the Latest Technologies and tools to enhance your work and skills. A Chance to Make a Tangible Impact on the retail industry through cutting-edge AI solutions. #LI-EH1 #LI-Hybrid
SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries. Visit here, for more information about how we hire, what’s in it for you, our culture and values.