276 to 300 of 373 Permanent PyTorch Jobs

comfortable explaining the intuition and assumptions behind ML concepts You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms More ❯

research and performance evaluation. Expertise in optimizing and evaluating ML models and/or privacy & security technologies for on-device performance. Experience with modern Machine Learning (ML) frameworks (e.g., Pytorch, TensorFlow, MLX, etc.). Skills That Will Set You Apart from the Competition ML Systems (pipelines, performance evaluation, etc.) Open source projects on mobile/desktop systems optimization Experience with More ❯

engineers pushing the boundaries You may be a good fit if you have: Strong software engineering skills Proficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.) Experience with LLMs and agentic frameworks Experience with post-training LLMs (SFT, PEFT, or RL ) Experience with building synthetic data generation pipelines If some of the above doesn More ❯

benchmarking. Proficiency in Git and distributed version control systems. Desirable Skills 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. Accommodations at Arm At Arm, we want our people to Do Great Things. More ❯

participate in the upside of an ultra-growth venture. Have fun Apply if: You have experience with our stack: Python, FastAPI, Postgres, SQLAlchemy, Alembic, Typescript, React, LlamaIndex/LangGraph, PyTorch, HuggingFace, OpenAI, Docker, Azure, You have taken entire products or features from ideation to deployment and you've measured their impact. You enjoy diving deep into the domain, understanding the More ❯

solving and debugging skills Practical, organized and analytical approach to work Good oral and written English skills "Nice To Have" Skills and Experience : Experience with ML software frameworks (e.g. PyTorch) Familiarity with ML hardware accelerators (e.g. NPUs, TPUs, GPUs with CUDA support) Knowledge of optimising and profiling software Experience with assembly programming Software development and integration on Linux, Android, or More ❯

a strong passion for game development. Proficiency in Unity game development workflows and its integration with AI/automation solutions. Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, OpenAI, or similar) and their application in game development or backend automation. Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of More ❯

a strong command of major machine learning languages such as Python or Scala, and have expertise in utilising statistical and machine learning libraries like Spark MLlib, scikit-learn, or PyTorch to write clear, efficient, and well-documented code. Experience with optimisation techniques, control theory, causal modelling or elasticity modelling is desirable. Prior experience in solving machine learning problems within the More ❯

Python and Bash A desire to have a positive impact both within our team and the wider Arm ecosystem Strong understanding of machine learning fundamentals and frameworks such as PyTorch and TensorFlow 'Nice to have' abilities and knowledge: Performance evaluation experience and knowledge of potential pitfalls Knowledge of hardware modelling concepts, including configuration and latency definition files Graphics programming experience More ❯

but not required. Below is a detailed breakdown of all the technologies we use. - Backend: Python - Frontend: Typescript and React - Kubernetes for deployment - GCP for underlying infrastructure - Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who More ❯

to production. Expert in deep learning (esp. sequential models, control, planning, or perception). Proficient in Python and other relevant languages (e.g. C++ and CUDA) and ML frameworks (esp. PyTorch), with a solid foundation in software engineering practices. Experience with real-time systems or robotics, ideally with simulation- or vehicle-in-the-loop components. Ability to lead technical initiatives across More ❯

Engineering, or related field. Proven understanding of data structures, algorithms, concurrency, and code optimisation. Strong computer vision and machine learning background and fluency in standard domain libraries (numpy, opencv, pytorch, etc) Experience deploying software to end customers, internal or external turning research and development efforts into used software Must have strong C++ or Rust experience in a Linux development environment. More ❯

university in Computer Science, Machine Learning, Mathematics, or a closely related field. Strong foundational knowledge of machine learning and deep learning , with hands-on experience using frameworks such as PyTorch , TensorFlow , or JAX . Exposure to LLM fine-tuning and/or experience working with transformer-based models (e.g. GPT, LLaMA, Mistral). Interest in or familiarity with agentic AI … frameworks and multi-agent systems . Some knowledge of graph databases (e.g. Neo4j, Neptune, TigerGraph) and GNN libraries (e.g. PyTorch Geometric, DGL). Comfortable working with Python in collaborative software engineering environments. Awareness of cloud tools (e.g. AWS, GCP, Azure ), MLOps practices, and data pipeline technologies is a plus. 🌟 Bonus Skills Experience with model optimisation techniques for deployment (e.g. quantisation More ❯

electronics, including PCB design + Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you ll get: + £30-50k + Share options + Clear progression path to a senior level in a More ❯

electronics, including PCB design + Experience coding embedded microcontrollers/IDEs/SBCs in Python/C + Experience programming firmware in C Bonus: + Experience with AI accelerators, PyTorch, Tensorflow, OpenCV, Linux, CNNs + Experience with gcode programming What you’ll get: + £30-50k + Share options + Clear progression path to a senior level in a More ❯

into automated workflows - Experience with Azure (especially Azure AI Agent Service and Azure AI Factory) - Experience of integrating enterprise tools and apps into the cloud Beneficial Skills & Experience: - OpenAI - PyTorch - SQL/NoSQL - TypeScript/NodeJS - MicroSoft Power Platform - LangChain - Model Context Protocol (MCP) Python Developer (AI and Automation) - £60-75k London 2-3 days per week in office More ❯

with funding and traction Remote-first culture with real autonomy and ownership 🚀 Your Role: Build and optimize vision models (object tracking, pose estimation, segmentation) Take prototypes to production with PyTorch, TensorFlow, Docker Drive product development and mentor other engineers Collaborate across product, data, and engineering for real-world deployment Apply now More ❯

with funding and traction Remote-first culture with real autonomy and ownership 🚀 Your Role: Build and optimize vision models (object tracking, pose estimation, segmentation) Take prototypes to production with PyTorch, TensorFlow, Docker Drive product development and mentor other engineers Collaborate across product, data, and engineering for real-world deployment Apply now More ❯

We're looking for someone with strong Python skills, experience with cloud based data processing, and a track record of delivering reliable, scalable ML systems. Familiarity with tools like PyTorch, scikit-learn, and modern ETL workflows is key. If you've worked in pricing, RGM, or simulation heavy domains, even better. Flexible hybrid setup in Cologne, with the option to More ❯

that AI technologies are effectively integrated into our business processes. You will focus on developing and implementing AI solutions, requiring strong programming skills, experience with AI frameworks (e.g., TensorFlow, PyTorch, etc.), and knowledge of machine learning algorithms. Familiarity with Microsoft Azure (AI) services and other models is essential. Apply for AI Engineer Architect - Permanent! Thank you for your application. We More ❯

search, retrieval pipelines, or document-based AI systems is a bonus Nice to Have: Exposure to legal tech, compliance tools, or privacy-centric workflows Familiarity with ML frameworks (e.g. PyTorch, Scikit-learn)-helpful but not required Interest in prompt engineering, user intent modeling, or AI agent design What We Offer: A high-trust, high-impact environment with ownership over mission More ❯

Maths, Engineering, Computer Science, or similar). Advanced degrees or equivalent R&D experience are highly valued. Strong Python programming skills. Hands-on experience with frameworks such as TensorFlow, PyTorch, or JAX. Experience designing ML solutions in novel problem spaces or constrained environments (e.g., edge processing). Familiarity with a broad range of ML techniques (computer vision, generative models, audio More ❯

well- documented code and participate in code reviews. Requirements: BSc or MSc in an Engineering discipline. Demonstrated experience with the ML research and development lifecycle. Hands-on experience with PyTorch, Hugging Face libraries. Solid understanding of algorithms, data structures, and software design principles. Growth mindset and curiosity for biology - we'll teach you the rest Collaborative team player with excellent More ❯

best researchers in the field. You may be a good fit if you have: Extremely strong software engineering skills. Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. Experience writing kernels for GPUs using CUDA, triton, etc Experience using large-scale distributed training strategies. Familiarity with autoregressive sequence models, such as Transformers. Bonus : paper More ❯

to state-of-the-art architectures. • Exceptional analytical and problem-solving skills, with a focus on experimentation and iterative refinement. • Strong programming skills in deep learning frameworks such as PyTorch or TensorFlow, and experience with profiling tools for understanding model performance. Nice-to-Haves • Prior research or publications in state space models, efficient Transformers or other alternative architectures. • Research or More ❯