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AI Model Orchestration Platform Lead (London) at Lenovo

Lenovo · London, United Kingdom · Hybrid

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This role is open for the London, UK location only. Candidates must be based there, as the position requires working from the office at least three days per week (3:2 hybrid policy).Responsible for architecting and delivering an orchestration system for AI workloads across devices, laptops, and cloud environments. This role also plays a founding leadership role in establishing Lenovo’s new site at Imperial College London.Key ResponsibilitiesArchitect and lead the development of Lenovo’s AI model orchestration platform.Design dynamic, context-aware workload routing that optimizes cost, privacy, latency, and performance.Collaborate with academic researchers to advance federated learning and privacy-preserving AI methods.Lead and mentor a high-caliber R&D engineering team (~6 engineers).Define evaluation pipelines and performance metrics to ensure scalability, reproducibility, and stability.Drive integration of orchestration capabilities into Lenovo’s products.Track emerging trends in distributed AI, multi-agent orchestration, and edge-to-cloud integration.Key Qualifications8+ years in AI/ML engineering, distributed systems, or orchestration platform development.Minimum 3 years of experience working with AI/ML workloads.Strong expertise in model routing strategies, orchestration frameworks (e.g., LangChain, Ray, Airflow, Prefect), and scaling multi-model inference.Proven ability to optimize for latency, cost, and throughput at scale.Experience with experimentation platforms (A/B testing, reinforcement learning, policy evaluation).Proficiency in observability and monitoring systems for correctness, drift detection, and performance.Demonstrated leadership in R&D settings, with a track record of translating research into deployed systems.Preferred:Experience collaborating with academic research institutions.Prior work in AI workload optimization for consumer electronics, IoT, or edge platforms.Advanced degree (MS/PhD) in Computer Science, AI/ML, Distributed Systems, or related discipline.Familiarity with federated learning, agent-based orchestration, and privacy-preserving AI frameworks.Ability to navigate emerging technology landscapes and define scalable innovation frameworks. Benefits: Holiday purchase Private medical Income protectionAttractive pension scheme Life insuranceLenovo and Motorola products discounts Mortgage advice and support
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