10 of 10 DemandTrendPermanent PyTorch Jobs in Bristol

programmer in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning More ❯

landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate effectively with stakeholders and More ❯

skills, with the ability to quickly become fluent in Python. Deep knowledge of core data science libraries (NumPy, Pandas, Scikit-Learn) and at least one deep learning framework (TensorFlow, PyTorch, or similar). High mathematical and statistical competence, with the ability to design new algorithms when needed. Experience leading teams to deliver innovative technical work on time, including project planning More ❯

Profile Essential skills: Bachelor/Master's/PhD or equivalent experience in Machine Learning, Computer Science, Maths, Data Science, or related field. Proficiency in deep learning frameworks like PyTorch/JAX. Strong Python software development skills (nice to have C other languages). Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling. Capable of designing, executing and reporting More ❯

science, or a related field, plus 3+ years of relevant experience. Demonstrated expertise applying deep learning to omics data at scale. Proficiency in Python and modern deep learning frameworks (PyTorch, JAX, or similar). Experience designing and operating data pipelines for genomics, transcriptomics, proteomics, or metabolomics. Solid grasp of causal inference, experimental design, and statistics. Familiarity with software engineering best More ❯

including self supervised pre training, Vision Transformers, or vector quantization methods. Hands on work with large medical or scientific imaging datasets and establishing evaluation tasks and metrics. Proficiency in PyTorch or JAX and experience running distributed training on GPUs or cloud HPC resources. Strong software engineering habits: version control, testing, continuous integration, code review, and containerization. Clear communication and ability More ❯

SystemReady SR Compliance Program Experience with Security Development Lifecycle (SDL) practices. Experience with open-source software maintenance, SDN, Kubernetes, and Docker. Hands-on testing of AI networking stacks (e.g., PyTorch, RDMA/RoCE, NCCL). Performance benchmarking and multi-node setup testing using traffic generators like IXIA. In Return: You will have the opportunity to learn about the latest Arm More ❯

Our GCN (Guidance, Control, and Navigation) team are delivering algorithms across the full life cycle of our products, from concept creation through to in-service support. In this role, you will be working on algorithms that are key to achieve More ❯

pose estimation, grasp proposal, etc. Prototype and deploy modern perception algorithms , including transformer-based models, across RGB-D, point cloud, and tactile modalities. Deliver real-time inference pipelines using PyTorch, TensorRT, and CUDA on embedded accelerators (e.g., Jetson). Integrate with ROS 2 : clean modular nodes, lifecycle management, deterministic scheduling, robust fallback behavior. Collaborate tightly with control, planning, and hardware … systems for real-time robotics (e.g., manipulation, SLAM, autonomous navigation). Strong proficiency in modern C++ (17/20) and Python for high-performance robotics software. Deep experience with PyTorch (training & deployment), and GPU optimisation (CUDA/TensorRT). Strong working knowledge of ROS 2 (rclcpp, lifecycle nodes, real-time QoS, DDS). Hands-on experience with transformer-based models More ❯

understanding of systems-level programming: memory management, threading, profiling Experience debugging complex issues in large, multi-threaded or real-time systems Comfortable optimising across CPU/GPU boundaries (e.g. PyTorch, TensorRT, CUDA) Passion for clean code, API design, and maintainable architecture Proven track record of delivering production-grade systems in fast-moving teams Desirable: Experience with ROS 2, DDS, or … working on real-world robotics in a collaborative, deeply technical environment-we encourage you to apply today. Key words: Senior Software Engineer, Robotics, C++, Python, ROS 2, DDS, CUDA, PyTorch, TensorRT, Real-Time Systems, Embedded Systems, Low Latency, CI/CD, API Design, Linux Kernel, Multithreading, GPU Optimisation, Robotics Engineer, Autonomous Systems, London Engineering Jobs, Robotics Startups, High Performance Computing More ❯