AI Model Orchestration Platform Lead (London) chez Lenovo

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 Postuler maintenant