oracle
Sr Lead AI Platform Engineer
JPMC Candidate Experience page
Glasgow, GBR
Full-time
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago
PythonKubernetes
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Job responsibilities
- Owns the design and build of the team's platform: deployment pipelines, model serving, containerisation, orchestration, and environment management
- Sets the standard for reliability, observability, and operational excellence across the team's production AI/ML services
- Builds the tooling and paved paths that let AI engineers ship agentic AI and ML products safely and quickly
- Implements platform-level security, secrets management, and access controls to firm-wide standards
- Partners with data and AI engineers to productionise models, and coordinates with external infrastructure functions to reduce operational dependency and risk
- Leads capacity, cost, and performance management for the team's compute and inference workloads
- Mentors platform and DevOps engineers and sets engineering standards through design and code review
- Champions the firm's culture of diversity, Opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced proficiency in Python and infrastructure-as-code, with modern software engineering practices
- Deep hands-on experience with Kubernetes, containerisation, and cloud-native deployment patterns
- Strong CI/CD experience and a track record of building deployment and release automation
- Experience serving, scaling, and monitoring ML models or data-intensive services in production (MLOps)
- Practical experience with observability tooling (metrics, logging, tracing) and production incident response
- Experience operating ML / LLM workloads in production (LLMOps, inference reliability, cost/performance management)
- Strong communication skills and the ability to set standards other engineers adopt
- Industry-recognised container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)
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