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# machine learning engineer for public services

- **Company:** Требованияexpert
- **Location:** London, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Architectural Patterns, Machine Learning, Pair Programming, Tensorflow, Systems Integration, Web Services, Pytorch, SC Clearance, Kubernetes, Machine Learning Operations
- **Published:** September 21, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/machine-learning-engineer-for-public-services/47727390

## About the Role

and AI frameworks.ТребованияExpert ability to define technical roadmaps and manage project priorities for high-stakes outcomes;Mastery of cloud-native ecosystems and orchestration tools such as Kubernetes;Proven ability to design large-scale AI-powered platforms and justify critical architectural decisions;Expert-level experience operationalising models with frameworks such as TensorFlow or PyTorch;Experience defining engineering standards and architecture patterns for agentic systems;Exceptional ability to align multidisciplinary technical teams with business objectives and customer needs;Eligibility for UK Security Clearance (SC) may be required;Willingness to work on site with government clients from time to time.УсловияOffice role in London, England, United Kingdom; Candidates may need to be eligible for UK Security Clearance (SC); The company is open to conversations about part-time hours; Interview process: Talent Team Screen, Hiring Manager Introduction, Pair Programming Interview,
System Design Interview, Commercial & Leadership Interview. #J-18808-Ljbffr

## Description

Описание: Faculty develops and deploys responsible AI for over 350 global customers, delivering human-centric solutions across government, finance, retail, energy, life sciences, and defence. Its Public Services Business Unit applies AI to improve government decision-making, NHS operations, and bureaucratic processes.ЗадачиDesign, implement, and maintain reliable, scalable ML systems for production environments;Justify key architectural decisions;Drive the development of shared libraries and infrastructure for model deployment, lifecycle management, and CI/CD pipelines;Lead model integration with infrastructure by creating APIs and services for scalable AI functionality in applications;Oversee multiple complex workstreams and define project problems in high-risk environments;Define testing frameworks and model versioning systems for senior engineers to implement;Manage and coach multiple individuals and set team-wide development goals;Execute recommendations for adopting new technologies