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LM
Luis Minvielle
How to Become an AI Engineer
almost 3 years ago
AI Platform Deployment Lead
QuantumBlack, AI by McKinsey
Greater London, UK
1 day ago
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Apply on www.collegerecruiter.com
Prepare application
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Python (Programming Language)
Cloud Platform System
AI Platforms
Kubernetes
Job description
QuantumBlack, AI by McKinsey is seeking a skilled engineer to lead AI platform deployments in Greater London. The role focuses on navigating complex client environments, deploying advanced AI capabilities, and ensuring operational stability. Candidates should possess 8+ years of experience in software and infrastructure engineering, with proficiency in Python, cloud systems like AWS, and container orchestration using Kubernetes. The position offers competitive benefits and the opportunity for significant impact in driving AI innovations.
Requirements
QuantumBlack, AI by McKinsey is seeking a skilled engineer to lead AI platform deployments in Greater London. The role focuses on navigating complex client environments, deploying advanced AI capabilities, and ensuring operational stability. Candidates should possess 8+ years of experience in software and infrastructure engineering, with proficiency in Python, cloud systems like AWS, and container orchestration using Kubernetes. The position offers competitive benefits and the opportunity for significant impact in driving AI innovations. #J-18808-Ljbffr
Apply for this position
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Apply on www.collegerecruiter.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
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Container hosting options available on Amazon Web Services
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Understanding Kubernetes architecture and core cluster components
Marc Nimmerrichter · World Congress 2022
2:06 min
Elevating the QA engineering role for complex challenges
Ondřej Gróf · World Congress 2026 Europe
3:03 min
Career evolution in data engineering and AI platforms
Maria Apazoglou · Coffee With Developers
4:04 min
Overview of Kubernetes operators and custom resource definitions
Philipp Krenn · World Congress 2022
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