Principal AI Engineering Lead (GenAI & MLOps)
London, South Bank Central, United Kingdom
GBP 85K-109K (estimate) Senior-level Full Time
Tasks
- Architect secure cloud native microservices and APIs
- Build and improve LLM solutions
- Coach engineers and mentor technical delivery
- Collaborate with Engineering Data Science and Product
- Deploy and monitor machine learning models
- Design CI CD pipelines for model deployment
- Ensure AI governance and operational reliability
- Implement embeddings and retrieval approaches
- Implement messaging and event driven patterns
- Lead AI enabled enterprise platform design and delivery
- Perform model tuning and evaluation
- Set MLOps engineering standards
Perks/Benefits
- Company pension
- Enhanced parental leave
- Flexible benefits
- Flexible hybrid working
- Healthcare options
- Paid life-event leave
- Paid volunteering leave
Skills/Tech-stack
.Net Core | Application Programming | Application Programming Interfaces | C Sharp | Cloud Native | Continuous Deployment | Continuous integration | Cybersecurity | Data Privacy | Distributed Systems | Embeddings | Event Driven | Event-driven architecture | Fine Tuning | GPU Computing | Generative AI | Go | Language Models | Large Language Models | MLOps | Machine Learning | Message queuing | Microservices | Model Evaluation | Model Fine-tuning | Model Hosting | Model Monitoring | NoSQL | Orchestration pipelines | Programming interfaces | Python | Retrieval | SQL | Secure Coding | Semantic Search | TypeScript | Vector Databases | Vector Search
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | MLOps Engineer | Principal | Principal AI Engineering Lead
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