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What to Expect
We are recruiting for a Head of Cloud to join our Autonomous, Connected Mobility and AI team in Woking. As the Head of Cloud, you will architect and lead the cloud backbone for McLaren Automotive entire McLaren’s connected and intelligent vehicle ecosystem, enabling secure, low-latency, and high-performance AI-driven services across all global programs.
This role is mission-critical to supporting end-to-end autonomy stack development, real-time vehicle intelligence, and connected services. You will build the next-generation infrastructure to support large-scale fleet data ingestion, AI training pipelines, predictive diagnostics, and OTA model deployment — all within a global, safety-critical automotive context.
What Youll Do
As a Head of Cloud you’ll:
* Architect a cloud-native AI platform that enables seamless real-time data processing, large-scale AI training, and ultra-fast ADAS/AD software deployment.
* Develop multi-cloud and edge computing strategies, optimizing AI inference on-vehicle vs cloud-based model updates.
* Build a high-performance, low-latency cloud data pipeline, capable of ingesting and processing large-scale vehicle telemetry and sensor data in real time.
* Lead OTA software update strategies, ensuring secure, scalable, and fault-tolerant AI model and software deployments.
* Oversee AI/ML deployment workflows, ensuring optimized model retraining, fine-tuning, and continuous learning across connected vehicles.
* Develop real-time fleet intelligence dashboards, enabling predictive maintenance, fleet-wide AI analytics, and connected mobility services.
* Collaborate with the Head of Connectivity to ensure ultra-fast vehicle-to-cloud (V2C) and cloud-to-vehicle (C2V) communication architectures.
* Ensure compliance with global data protection, security, and automotive cloud governance standards (Including AI model fairness regulations).
* Work with AI and engineering teams to optimize distributed AI workloads, balancing edge computing and centralized cloud inference.
What Youll Bring
* Proven experience leading large-scale cloud architecture for real-time AI, autonomy, or IoT-based platforms
* Deep understanding of distributed systems, foundation model pipelines, MLOps workflows, and data security protocols
* Experience with hybrid compute environments (cloud + on-prem clusters) and globally distributed AI training workflows
* Familiarity with AI lifecycle tooling: model versioning, telemetry triage, continuous retraining, and OTA deployment infrastructure
* Expertise with public cloud services (AWS, GCP, Azure), container orchestration (Kubernetes), and data platforms (Kafka, Spark, Snowflake, etc.)
* Strong collaboration skills across software, AI, infrastructure, and compliance domains
What Well Do for You
We offer a wide – ranging benefits package, which includes:
* 25 days’ holiday, plus bank holiday. Annual buy & sell up to five days
* Enhanced company pension scheme
* Discretionary annual bonus award
* Private medical insurance and health cash plan
* Life assurance benefit
* Ability to apply for a sabbatical of up to one year after only two years’ service
* Benefits you can adapt to your lifestyle, such as discounted shopping
* Generous parental leave policies
* A range of wellbeing initiatives, such as employee assistance programme and free financial & mortgage advice
Who Are We?
No restraints. No limitations. We don’t simply push boundaries. We completely rethink them. McLaren Automotive exists to create breath-taking performance road cars.
It takes a community to do what we do. A diverse group of people with many areas of expertise, united by their passion to deliver visionary products and set new benchmarks.
McLaren Automotive commits to equal opportunity for all. Diversity, Equality and Inclusion is at the heart of our impact, it drives our innovation and enables us to truly create something special. Join us on our journey.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Information Technology and Engineering
* Industries
Automotive and Motor Vehicle Manufacturing
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