Software Engineer, Machine Learning Infrastructure
London - The River Building HQ
GBP 28K-28K (estimate) Mid-level Full Time
Tasks
- Build generative ai model serving infrastructure
- Build gpu autoscaling and utilization systems
- Create observability and monitoring for llm systems
- Design scalable distributed systems for inference
- Develop model fine tuning and training pipelines
- Implement high throughput batch inference pipelines
- Implement real time gpu endpoints
- Improve reliability incident response and performance optimization
- Optimize cost and latency for GPU inference
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Batch inference | Cost Optimization | DPO | Debugging | Distributed Systems | Fine Tuning | GCP | GPU autoscaling | Kubernetes | LLM Inference | Latency optimization | LoRA | Model Fine-tuning | Observability | Performance optimization | Python | Quantization | RLHF | Reliability Engineering | SFT | SGLang | TensorRT-LLM | VLLM
Education
Roles
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