AI & ML Engineer
London, England, United Kingdom
R
GBP 70K-90K (estimate) Senior-level Full Time
Tasks
- Build production ML pipelines and services
- Deploy and operate ML systems
- Design agentic systems
- Develop AI ML APIs and microservices
- Ensure security, scalability, and observability
- Establish AI guardrails and evaluation frameworks
- Implement ML CI/CD
- Implement infrastructure-as-code
- Monitor model data drift and performance
- Support evaluation of new AI technologies
Perks/Benefits
- Birthday day off
- Employee assistance program
- Hybrid work model
- Life assurance
- Paid time off
- Parental leave
- Pension
- Product Discounts
- Social events
- Wellness benefits
Skills/Tech-stack
Batch Processing | CI/CD | Embeddings | Experiment tracking | FastAPI | GCP | GCP Pipelines | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Guardrails | IAM | Infrastructure as Code | Langchain | Langgraph | MLOps | Model Evaluation | Model Registry | Monitoring | PII | Privacy Compliance | Prompt engineering | Python | RAG | Ranking Models | Real Time | Real-time ML | Recommender Systems | Secrets management | Security | Terraform | Vector Databases | Vector Search | Vertex AI | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
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