8 of 8 Permanent vLLM Jobs in the UK excluding London

test design to ensure high-quality, maintainable software solutions. AI Framework & Deep Learning: Strong understanding of AI frameworks such as PyTorch, Triton and vLLM, with applied knowledge across domains such as Natural Language Processing, Vision, Audio and Recommendation Systems. GPU Computing: Strong experience with GPU Programming models (CUDA, HIP). ...

Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. · Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python for research prototyping. · Solid grounding ...

operating systems, and runtime environments; Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation Proficient in using ...

operating systems, and runtime environments; Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation Proficient in using ...

operating systems, and runtime environments; Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation Proficient in using ...

operating systems, and runtime environments; Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation Proficient in using ...

operating systems, and runtime environments; Hands-on experience with Serverless architectures and cloud-native optimization technologies such as containers, Kubernetes, service orchestration, and autoscaling vLLM, SGLang, Ray Serve, etc.); understand common optimization concepts such as continuous batching, KV-Cache reuse, parallelism, and compression/quantization/distillation Proficient in using ...

field. Strong knowledge of distributed systems, operating systems,machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience withLLM serving frameworks(e.g.,vLLM,Ray Serve,TensorRT-LLM,TGI) anddistributed KV cache optimization. Proficiency inC/C++, with additional experience inPythonfor research prototyping. Solid grounding insystems research methodology,distributed ...