Lead Machine Learning Engineer

1 day ago


London Area, United Kingdom Xcede Full time

Lead Machine Learning Engineer – Retailx2 days per week in a central London office (hybrid)About the CompanyWe’re working with a fast-scaling AI organisation that partners with large product and platform-led businesses to deliver machine learning systems that support personalisation, demand forecasting, and operational resilience. Their work helps clients enhance customer experience, optimise fulfilment and logistics, and make smarter, data-driven decisions.This is a senior-level technical role with plenty of scope to shape the architecture, tooling, and delivery practices across impactful applied AI projects.What You’ll Be DoingLead the design and development of robust machine learning platforms that power core business functions across multiple client environmentsSet technical strategy across projects and drive execution on model development, deployment workflows, and infrastructureCollaborate with engineers, product teams, and stakeholders to translate high-level objectives into scalable ML solutionsBuild shared tools and frameworks that support consistency and reusability across the engineering functionGuide project scoping and delivery plans while helping define best practices around ML system designMentor engineers at varying levels and contribute to hiring, capability building, and tooling decisionsHelp clients understand trade-offs and solution architecture, acting as the senior point of technical contact throughout deliveryWhat They’re Looking ForStrong experience leading end-to-end ML engineering projects, ideally with exposure to customer-centric, high-traffic environmentsProficiency in Python and hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learnFamiliarity with cloud-based deployment workflows and infrastructure management (e.g. AWS, Azure, or GCP)Real-world experience working with Docker, Kubernetes, and production ML pipelinesStrong communication skills and comfort engaging across technical, commercial, and executive teamsA pragmatic and detail-oriented approach to balancing experimentation with reliable, scalable deliveryIf this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).



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