Staff Machine Learning Engineer
EDITED
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Job Level
Tech Stack
About the role
- Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
- Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerization practices.
- Build high-performance data pipelines (ETL/ELT) for both training and real-time inference.
- Act as a technical lead for the team, mentoring junior engineers and setting engineering best practices.
- Partner with Product Managers and Data Scientists to translate business ambitions into sophisticated technical requirements.
Requirements
- Strong proficiency in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn
- Hands-on experience with modern AI orchestration tools such as LangChain and LangSmith
- Proven experience with Docker, Kubernetes, and cloud infrastructure (AWS/GCP/Azure)
- Expert-level SQL/NoSQL skills
- A Master’s or PhD in Computer Science or a related field, or equivalent experience leading research-heavy engineering projects
- You take full responsibility for the health of your models from "code to customer."
- You value theoretical excellence but prioritize the delivery of scalable, reliable systems that move the needle for the business.
- You rely on empirical evidence and rigorous metrics to evaluate models and inform your architectural decisions.
- You can explain complex AI concepts to a non-technical stakeholder just as easily as you can conduct a deep-dive code review with a peer.
Benefits
- Flexible working options—including hybrid working, flexible hours and a work from anywhere policy
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPyTorchTensorFlowScikit-learnDockerKubernetesAWSGCPAzureSQL
Soft Skills
mentoringcommunicationresponsibilitytheoretical excellencedelivery of scalable systemsevaluation of modelsarchitectural decision-makingexplaining complex concepts
Certifications
Master’s in Computer SciencePhD in Computer Science