Staff Machine Learning Engineer
EDITEDLondon, England, United Kingdom
Posted January 22, 2026
Full Time
About the Company
EDITED offers a comprehensive retail intelligence platform that provides businesses with market context, AI-driven insights, and actionable analytics. Our suite of services includes retail analytics, competitive analysis, big data solutions, and SaaS offerings, enabling clients to optimize pricing, product assortment, buying, merchandising, and overall business operations. EDITED stands out by delivering real-time visibility and predictive capabilities that empower businesses to make informed decisions quickly.
Job Description
As a Staff Machine Learning Engineer at EDITED, you will be a driving force behind our AI strategy, building complex, production-ready AI agents and scalable systems. You will take full ownership of the ML lifecycle and lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Requirements
- ML Fundamentals: Strong proficiency in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn, with a deep understanding of NLP, deep learning, or reinforcement learning.
- Agentic AI: Hands-on experience with modern AI orchestration tools such as LangChain and LangSmith.
- Production Excellence: Proven experience with Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure), with a focus on scaling models in production.
- Data Fluency: Expert-level SQL/NoSQL skills and the ability to design high-performance pipelines for massive datasets.
- Academic/Practical Background: A Master’s or PhD in Computer Science or a related field, or equivalent experience leading research-heavy engineering projects.
Benefits
- Enhanced parental leave policy
- 25 days annual leave + public holidays (and an extra day for every year at EDITED)
- Work from anywhere policy
- Season Ticket Loan & Cycle to Work schemes
- Health Cash App
- Access to an Employee Assistance Programme
- Gifts for work anniversaries and big life events
- Dog friendly office
