6 of 6 PyTorch Jobs in Scotland

Skills & Experience Strong Python (3.9+) development experience Hands-on experience with AI/ML technologies (OCR, LLMs, Object Detection) Experience with libraries such as PyTorch, Hugging Face, OpenCV, and Pandas Knowledge of AWS services (Lambda, S3, SQS, CloudWatch) Experience building APIs using FastAPI Solid understanding of data processing, system design ...

large-scale inference pipelines, specifically focusing on KV cache management and heterogeneous memory scheduling. AI Serving: Optimising high-throughput frameworks (vLLM, Ray Serve, PyTorch Distributed) to ensure low-latency, multi-tenant performance. Research Leadership: Contributing to top-tier venues (OSDI, NSDI, EuroSys, MLSys) and driving those innovations into real-world ...

manage the end-to-end lifecycle of machine learning models, including development, training, deployment, monitoring, and continuous improvement. Productionise ML models built with PyTorch, TensorFlow, or Scikit-learn, ensuring reliability, scalability, and security. Implement model versioning and experiment tracking using MLflow, along with controlled releases, rollback strategies, and continuous improvement … Automate infrastructure provisioning, environment management, and deployment using Terraform, ARM templates, or Ansible. Essential Technical Skills: Programming: Python, SQL, PySpark, Bash ML Frameworks: TensorFlow, PyTorch, Scikit-learn MLOps & Model Management: MLflow, Model versioning, CI/CD Cloud & Big Data: Databricks, Databricks APIs, MCP, Blob Storage Data Engineering: ETL/ ...

data pipelines, focusing on KV cache management, heterogeneous memory scheduling, and high-throughput inference serving using frameworks like vLLM, Ray Serve, and modern PyTorch Distributed systems. Scalable Model Serving Infrastructure : Develop and evaluate frameworks that enable efficient multi-tenant, low-latency, and fault-tolerant AI serving across distributed environments. Research … also welcome At least 2 years of experience with LLM inference/serving framework optimization (vLLM/Ray Serve/TensorRT-LLM/PyTorch) Hands-on experience with distributed KV cache optimization Familiarity with GPU and how they execute LLMs Strong knowledge of distributed systems, operating systems, machine learning systems ...

performance tuning of inference pipelines, focusing on KV cache management. Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch Distributed. Research and prototype novel techniques for cache sharing, data locality, and resource orchestration. Translate innovative designs into publishable contributions at top-tier venues (e.g., OSDI … Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this Systems Research Engineer position, please send a copy of your CV to ts@eu-recruit.com ...

infrastructure, and applied research, helping translate novel scientific ideas into robust ML systems. Key areas of focus include: Building and optimising deep learning models (PyTorch) Developing and maintaining scalable data pipelines for large genomics datasets Experiment tracking, benchmarking & reproducibility Improving model training efficiency and infrastructure Supporting deployment and model lifecycle … management Contributing to AI/agentic workflows for scientific automation We’re looking for: Strong Python & PyTorch experience Experience training/evaluating deep learning models in production or research environments A solid grounding in ML engineering best practice (pipelines, versioning, benchmarking, cloud compute) Experience working with large-scale datasets Bonus ...