301 to 325 of 328 PyTorch Jobs in England

Scientific discipline. Hands-on experience integrating vision systems and automated inspection technologies (ideally Cognex, Keyence), programming in C/C#. Familiarity with code readers, vision libraries/frameworks (OpenCV, PyTorch), and ideally, Siemens S7 or Allen Bradley PLCs. Strong understanding of working within regulated environments and a detail-driven approach to documentation. If this sounds like you, we’d love More ❯

implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end systems Perform error analysis and iterate on models continuously … foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication More ❯

Job Title: Data Scientist - Senior II Job Location: Udaipur Employment Type: Full-Time Role Overview: We're looking for a Data Scientist - Senior II - a problem solver, innovator, and mentor who's ready to go beyond dashboards and dive deep More ❯

Senior Machine Learning Engineer - Python/TensorFlow/Keras/PyTorch/scikit-learn Wyatt Partners are working with the founders of an innovative Machine Learning startup to hire an experienced Machine Learning Engineer. They see the Senior Machine Learning Engineer quickly developing into the 'Head of Machine Learning' as the team & company grow over the coming year. The company … Their AI solution addresses a traditional problem faced by various industries, offering a strong first-mover advantage with no natural competitors. The current tech stack includes: Python, TensorFlow, Keras, PyTorch, and scikit-learn. The Senior Machine Learning Engineer will be responsible for: Developing cutting-edge algorithms Building data management pipelines to automate updates of core algorithms Productionizing the company's More ❯

interfaces and requirements for an end-to-end stack; Experience MS, or higher degree, in a related field, or equivalent industry experience Professional experience with ML frameworks such as PyTorch, Jax or Tensorflow (PyTorch preferred) Experience with data sampling and data curation pipelines for autonomous driving datasets Experience in state-of-the-art architectures for end-to-end autonomous driving More ❯

Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow … application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance More ❯

Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow … application to our client in conjunction with this vacancy only. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance More ❯

machine learning services (AWS, Azure, GCP) Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo … Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance More ❯

solving skills, a proactive approach, and a keen understanding of software engineering best practices are essential. KEY RESPONSIBILITIES: Optimize Deep Learning Frameworks: Enhance and optimize frameworks like TensorFlow and PyTorch for AMD GPUs in open-source repositories. Develop GPU Kernels: Create and optimize GPU kernels to maximize performance for specific AI operations. Develop & Optimize Models: Design and optimize deep learning … Kernel (CK), CUTLASS, and Triton for multi-GPU and multi-platform performance. Deep Learning Integration: E xperience d in integrating optimized GPU performance into machine learning frameworks (e.g., TensorFlow, PyTorch ) to accelerate model training and inference, with a focus on scaling and throughput. Software Engineering: S kill ed in Python and C++, with experience in debugging, performance tuning, and test More ❯

engineers and runtime engineers to create, build and tune distributed inference solutions with Trn1. Experience optimizing inference performance for both latency and throughput on these large models using Python, Pytorch or JAX is a must. Deepspeed and other distributed inference libraries are central to this and extending all of this for the Neuron based system is key. Key job responsibilities … This role will help lead the efforts building distributed inference support into Pytorch, Tensorflow using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Inf1 servers. Strong software development using C Python More ❯

our customers, by leveraging data to improve the OTM users and agents experience. This role would be suited to an individual with a background in Python, SQL, AWS, Looker, PyTorch, Airflow and Redshift/Postgres. The candidate must be able to exhibit proficiency in working with large volumes of data, automating data loads, and the ability to understand end user … verbally and written; this role will be working closely with business users. NICE TO HAVE Clojure or other JVM language production experience Development & Deployment of machine learning models using PyTorch Experience with GIS systems (Postgis,QGIS, ) WHAT'S IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and innovation that attracts the best More ❯

Applied Scientist II - Computer Vision page is loaded Applied Scientist II - Computer Vision Apply remote type Hybrid Eligible locations United Kingdom - London (Onfido) France - Paris (Onfido) time type Full time posted on Posted 30+ Days Ago job requisition id R003380 More ❯

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic More ❯

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic More ❯

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic More ❯

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic More ❯

🔥 Who We Are At Ultralytics, we relentlessly drive innovation in AI, building the world's leading YOLO models. We're looking for passionate individuals obsessed with AI, eager to make a global impact, and ready to excel in a dynamic More ❯

and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly More ❯

real-time frontend interfaces using React, Next.js, and Vercel AI SDK Containerising services using Docker and deploying to AWS (ECS, Lambda) Collaborating with researchers to productionise transformer models (e.g. PyTorch, HF) Using observability tools like Langfuse to monitor prompt and model performance Writing clean, modular, testable code that scales in production environments What They're Looking For: 3+ years' experience … databases, embeddings, and semantic search Solid grasp of prompt engineering and LLM integration best practices Familiarity with containerisation, API design, and modern ML deployment tools Bonus if: Experience with PyTorch or model fine-tuning Open-source contributions to LLM or AI infrastructure tools Experience with Elasticsearch or OpenSearch for retrieval Familiarity with Terraform, GitHub Actions, or infrastructure automation Built doc 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 ❯

learning models that can leverage the vast amount of labeled and unlabeled data Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch Knowledge of model training framework (e.g. PyTorch Lightning, ray, etc.) In-depth knowledge of transformer architecture and ways to accelerate the training and inference of transformer models Experience of performing More ❯

for training infrastructure and deployment pipeline to accelerate model iteration and improve performance. Qualifications PhD in CS/CE/EE, or equivalent, in industry experience Deep knowledge of PyTorch Experience with Cuda or Triton language for writing custom ops Knowledge of model training framework (e.g. PyTorch Lightning) In-depth knowledge of transformer architecture and ways to accelerate the training 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 ❯

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 ❯

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 ❯