Engineering Manager - AI/ML Platforms
London, London, United Kingdom
GBP 38K-49K (estimate) Mid-level Full Time
Tasks
- Architect scalable, secure, cost-effective solutions
- Build high-performing engineering team
- Champion agile delivery
- Collaborate with product teams to prioritize AI ML capabilities
- Define technical vision for AI ML engineering
- Deliver AI/ML capabilities
- Drive build-vs-buy decisions
- Embed engineering best practices
- Enable data scientists and ML engineers collaboration
- Ensure cross cloud compatibility Azure and AWS
- Hire and develop engineering talent
- Integrate Snowflake data hosting
- Lead ML platform engineering team
- Manage budgets and service support
- Manage training deployment and real time serving
- Migrate and modernize ML models
- Oversee SLAs
- Own ML Ops platform lifecycle
- Own end to end platform delivery and operations
Perks/Benefits
- Adoption leave pay
- Annual holiday
- Buy additional holiday
- Colleague discount
- Cycle to work scheme
- Employee assistance programme
- Flexible working
- Health cash plans
- Interest-free car loan
- Life cover
- Maternity leave pay
- Paternity leave pay
- Pay advance
- Pension
- Performance bonus
- Private healthcare
- Season ticket loans
Skills/Tech-stack
Agile | Amazon Web Services | Cloud Architecture | Cross-cloud | Cross-cloud Architecture | Data Pipelines | DevOps | Feature Engineering | Graph Neural Networks | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Microsoft Azure | Neural Networks | REST APIs | Real Time | Real-time analytics | Scrum | Service Level | Service Level Agreements | Snowflake | Stream processing | Web Services | XP
Education
N/A
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