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- Tasks: Design and deploy cutting-edge machine learning models for retail applications.
- Company: Join SymphonyAI, a leader in enterprise AI solutions transforming industries globally.
- Benefits: Enjoy a competitive salary, inclusive culture, and access to the latest tech tools.
- Why this job: Make a real impact in retail with innovative AI solutions while collaborating with diverse teams.
- Qualifications: Master’s or Ph.D. in machine learning/computer vision; strong Python skills required.
- Other info: Flexible working hours with a focus on collaboration across US and EU teams.
The predicted salary is between 42000 - 84000 £ per year.
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.
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.
Seniority level
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Seniority level
Entry level
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Employment type
Full-time
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Job function
Information Technology
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Software Development
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Machine Learning Scientist employer: SymphonyAI
Contact Detail:
SymphonyAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and computer vision, especially focusing on deep learning architectures. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your hands-on experience with ML frameworks like PyTorch and TensorFlow Lite. If you have personal projects or contributions to open-source that demonstrate your skills, be ready to discuss them in detail.
✨Tip Number 3
Network with professionals in the field by attending relevant meetups or conferences. Engaging with others can provide insights into the industry and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Prepare to discuss how you've tackled real-world problems using machine learning. Be ready to explain your thought process, the challenges you faced, and how you iterated on your models, as this will demonstrate your practical experience.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and computer vision. Emphasise any projects where you've designed, trained, or deployed deep learning models, especially those related to retail or image datasets.
Craft a Compelling Cover Letter: In your cover letter, express your passion for machine learning and how it can impact the retail industry. Mention specific skills that align with the job description, such as your proficiency in Python and familiarity with ML frameworks like PyTorch.
Showcase Your Projects: If you have worked on relevant projects, include links to your GitHub or portfolio. Highlight any experience with generative AI models or model optimisation tools, as these are particularly relevant to the role.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail. Review common machine learning concepts and be prepared to explain how you've applied them in real-world scenarios, especially in production settings.
How to prepare for a job interview at SymphonyAI
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning architectures and frameworks like PyTorch. Bring examples of projects where you've designed, trained, and deployed models, especially in production settings.
✨Familiarise Yourself with Recent ML Research
Since the role involves evaluating ideas from recent ML papers, it’s a good idea to read up on the latest advancements in machine learning, particularly in computer vision. Be ready to discuss how you could apply these concepts to real-world retail challenges.
✨Prepare for Collaborative Scenarios
As collaboration is key in this role, think of examples where you've worked with cross-functional teams. Highlight your communication skills and how you’ve successfully integrated models into end-to-end systems.
✨Understand Retail-Specific Applications
Research the retail industry and understand how machine learning can impact it. Be ready to discuss specific use cases, such as product recognition or shelf segmentation, and how your skills can contribute to SymphonyAI's goals.
