Director, Model Orchestration (London)

Lenovo; Farnborough; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

A leading global technology firm is seeking a Senior AI Orchestration Engineer to architect and deliver an AI workloads orchestration system. The role involves collaboration with academic researchers and leadership of an R&D team. Ideal candidates have extensive experience in AI/ML and distributed systems, and the position requires a London-based presence with a hybrid work model.

Benefits

Holiday purchase

Private medical

Income protection

Life insurance

Lenovo and Motorola products discounts

Mortgage advice and support

Qualifications

• 8+ years in AI/ML engineering, distributed systems, or orchestration platform development.
• Minimum 3 years of experience working with AI/ML workloads.
• Demonstrated leadership in R&D settings, with a track record of translating research into deployed systems.

Responsibilities

• Architect and lead the development of Lenovo's AI model orchestration platform.
• Design dynamic, context-aware workload routing for cost, privacy, latency, and performance.
• Lead and mentor a high-caliber R&D engineering team.

Skills

AI/ML engineering

Distributed systems

Orchestration platform development

Model routing strategies

Orchestration frameworks

Experimentation platforms

Observability and monitoring systems

Leadership in R&D settings

Education

Advanced degree (MS/PhD) in Computer Science, AI/ML, or related

Tools

LangChain

Ray

Airflow

Prefect

Job description

We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

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 Responsibilities

• Architect 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 Qualifications

• 8+ 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.
• Holiday purchase
• Private medical
• Income protection
• Life insurance
• Lenovo and Motorola products discounts
• Mortgage advice and support

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.

Additional Locations

United Kingdom

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