426 to 445 of 445 Permanent PyTorch Jobs

short-term pain for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphsfrom common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for trainingwith particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. Ownership … and modular software design. Deep Learning understandingboth in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g., PyTorch, TensorFlow, scikit-learn, etc.). Exposure to Deep Learning Compiler frameworkse.g., TVM, MLIR, TensorComprehensions, Triton, JAX. Kernel Experienceexperience writing and optimizing highly-performant GPU kernels. Note: For potential candidates outside More ❯

term pain for extreme long-term pain. Embrace an extreme learning rate rather than assuming limits to your ability/knowledge. Responsibilities: Lower deep learning graphs-from common frameworks (PyTorch, TensorFlow, Keras, etc.) down to an IR representation for training-with particular focus on ensuring reproducibility. Write novel algorithms for transforming intermediate representations of compute graphs between different operator representations. … modular software design. Deep Learning understanding-both in terms of recent architecture trends + fundamentals of how training works, and experience with machine learning frameworks and their internals (e.g., PyTorch, TensorFlow, scikit-learn, etc.). Exposure to Deep Learning Compiler frameworks-e.g., TVM, MLIR, TensorComprehensions, Triton, JAX. Kernel Experience-experience writing and optimizing highly-performant GPU kernels. Note: For potential More ❯

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Apply link Copy link Bachelor's degree or equivalent practical experience. 8 years of experience in applied machine learning, including leading projects from research More ❯

Invenirex - Software Engineer - Computer Vision, Instrument Control & AI Inference Job Title: Software Engineer - Computer Vision, Instrument Control & AI Inference Category: Technical roles Closing Date: 10/08/2025 Software Engineer - Computer Vision, Instrument Control & AI Inference Location: Newcastle Upon 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 ❯

MERITUS Talent are working with a national security consultancy who are in need of a Data Scientist to join their London customer site on a full-time, permanent basis. This incumbent of this role will need to hold an active 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 ❯

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 ❯

speed and adaptability across real-world use cases. Stay close to the science and ship what works Test new approaches rigorously, validate performance, and productionise what's effective. Use PyTorch (or similar frameworks) for fast, iterative experimentation. Contribute to model evaluation, benchmarking and continuous improvement. Work cross-functionally, without managing people Collaborate with Product, Infrastructure, and Customer teams to deliver … Machine Learning or a related field. Proven track record developing and deploying large-scale CV models in production . Strong programming skills in Python, with hands-on experience in PyTorch or TensorFlow . Deep understanding of modern CV architectures - particularly large vision models and Transformers. Experience with multimodal data (images, video, text) is highly desirable. Experience with MLOps tools and 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 ❯

Responsibilities As a Deep Learning Libraries engineer, you will own or participate in the following design and implement critical parts of the DL operators libraries, including kernels used by PyTorch contribute to the performance analysis flow to guide optimization work contribute to the functional and performance ISA simulators collaborate cross-functionally with Silicon design, architecture experts, and other teams across … the company Requirements at least 3 years of experience numerical library development strong C++ programming skills strong knowledge of parallel programming languages experience with PyTorch a plus strong background in dense linear algebra software excellent skills in problem solving, written and verbal communication, excellent organization skills, and highly self-motivated. ability to work well in a team and be productive More ❯

using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and suggest improvements to the ML Ops stack Required Skills … Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions Desirable Skills: Background in DevOps with CI/CD experience (e.g. More ❯

using Kubeflow and similar tools (e.g., MLflow) Develop scripts and tooling in Python; manage Linux system configurations Leverage AWS infrastructure (Cognito, S3, EC2, Lambda, etc.) Integrate ML toolkits (e.g., PyTorch, Lightning) into ML Ops workflows Design and deploy robust ML Ops solutions across various technologies Contribute to the technical strategy and suggest improvements to the ML Ops stack Required Skills … Kubeflow or similar ML Ops platforms Proficiency in Python programming, Linux systems, and scripting Experience with AWS services (Cognito, S3, EC2, Lambda, etc.) Familiarity with ML frameworks such as PyTorch or Lightning, and understanding their role in ML Ops pipelines Ability to design and implement comprehensive ML Ops solutions Desirable Skills: Background in DevOps with CI/CD experience (e.g. 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 ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not More ❯

platforms Oversee deployment of models (classification, object detection, causal inference) Partnering with: ESA, EO data providers, hardware partners, client field teams The Successful CTO will have: Proficiency in Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT Experience deploying production-grade AI in edge environments (Jetson/NVIDIA) Comfortable leading projects from concept to field deployment Detail-oriented and execution-driven Mission … outside of UK - EMEA/LATAM To discuss this opportunity in further detail please call James on 07458160082. Keywords: CTO, Chief Technology Officer, AI Engineer, Software Engineering Director, Python, PyTorch, OpenCV, ONNX, TorchScript/TensorRT, Agriculture, Technology, York, Leeds, Manchester, Midlands, North East, England More ❯