10 of 10 PyTorch Jobs in Cambridgeshire

services using Microsoft and .NET . 4+ years in a Data Scientist or AI/ML Engineer role. Proficiency in Python , including libraries like pandas , scikit-learn , TensorFlow , and PyTorch . Deep understanding of ML algorithms : regression, classification, clustering, and deep learning. Hands-on experience with Large Language Models (LLMs) and techniques such as Retrieval-Augmented Generation (RAG) , agent orchestration More ❯

solutions independently. Ideal Experience 5+ years in applied Machine Learning, with significant hands-on NLP project experience. Deep understanding of transformer models and LLM fine-tuning. Proficient in Python, PyTorch or TensorFlow, and scikit-learn. Practical experience deploying ML models in production environments (cloud-native or on-prem). Familiar with data versioning, MLflow, and monitoring frameworks (e.g. Weights & Biases More ❯

similar role with strong experience to AI/ML projects.Strong programming skills in Python (pytest, unittest, or other test frameworks).Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.Strong problem-solving skills and ability to communicate technical issues clearly. Key Responsibilities: Design More ❯

with strong experience to AI/ML projects. Strong programming skills in Python (pytest, unittest, or other test frameworks). Familiarity with AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Hands-on experience with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines. Strong problem-solving skills and ability to communicate technical issues clearly. Key More ❯

and prompt engineering for development tasks Experience with orchestration tools such as AI Foundry or Semantic Kernel Exposure to automated testing and evaluation of AI outputs Proficiency in Python , PyTorch , and TensorFlow Core Engineering Skills: Proven experience in software engineering, ideally in platform or cloud-native service development Strong background in Microsoft Azure and PaaS services (e.g., Azure Functions, AKS More ❯

with RAG (retrieval-augmented generation) and GraphRAG a big plus Experience with building and deploying software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology More ❯

company who are developing state-of-the-art medical devices to monitor health systems. Experience Required: MSc or PhD in ML, Biomedical Engineering, or related field Strong experience with PyTorch/TensorFlow and Python Hands-on experience with TinyML or edge ML frameworks (TFLite, TVM, etc.) Skilled in model optimization for constrained devices Comfortable in a startup environment - proactive, collaborative More ❯

customer facing developer workflows. Experience developing for and on Arm architectures. Experience profiling or debugging ML workloads. Experience designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers. Experience collaborating closely with product or design teams. In Return: Our team offers an inclusive and highly collaborative environment, with work that spans a wide More ❯

signal processing . Preferred Qualifications Experience in real-time audio coding with C/C++ . Knowledge of psychoacoustics , spatial audio , room acoustics , or auditory perception . Familiarity with PyTorch or other machine learning frameworks for audio analysis. Experience working with prototype audio hardware , motion tracking systems , or automated data collection . Hands-on experience in setting up acoustic labs More ❯

Qualifications Expertise in real-time audio coding in C/C++ Expertise in any/all of psychoacoustics, auditory perception, spatial audio, room acoustics, and physical acoustics Experience using PyTorch or other machine learning frameworks Experience with prototype hardware devices Experience with motion tracking systems Experience with large-scale automated data collection and analysis Experience designing and setting up acoustic More ❯