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
