626 to 650 of 708 Permanent PyTorch Jobs

the AI roadmap and long-term technical direction What You’ll Bring: Solid experience building and deploying ML models in production Strong Python skills and familiarity with frameworks like PyTorch or TensorFlow A pragmatic, product-focused mindset - you care about outcomes, not just models Why Join: Work on a mission-driven product changing how people train Join a collaborative, ambitious More ❯

the AI roadmap and long-term technical direction What You’ll Bring: Solid experience building and deploying ML models in production Strong Python skills and familiarity with frameworks like PyTorch or TensorFlow A pragmatic, product-focused mindset - you care about outcomes, not just models Why Join: Work on a mission-driven product changing how people train Join a collaborative, ambitious More ❯

alignment, quantization, and retrieval-augmented generation What we’re looking for: 4+ years experience in ML/AI engineering (LLMs, transformers, generative models) Strong Python skills and experience with PyTorch, Hugging Face, or similar frameworks Proven track record in latency optimization (e.g. batching, quantization, caching strategies) Familiarity with hallucination mitigation techniques (e.g. RAG, chain-of-thought, fact-checking) Bonus: experience More ❯

deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with cloud and orchestration technologies More ❯

deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with cloud and orchestration technologies More ❯

C# Experience with medical device software certification (CE marking) Practical experience in medical image processing Experience developing and deploying machine learningbased image recognition models Familiarity with frameworks such as PyTorch or TensorFlow Experience working in a bilingual (English/Japanese) development environment Location: This position is based in the United Kingdom (Remote or hybrid work available) Short-term business trips More ❯

low-ego engineering culture focused on shipping. What We’re Looking For Deep experience in Applied Machine Learning and Agentic AI systems . Proficiency in modern ML stacks (Python, PyTorch, JAX, Ray, etc.) and production deployment. Proven ability to move fast, ship code, and bridge research with real-world impact. Experience in early-stage or startup environments is a plus. More ❯

low-ego engineering culture focused on shipping. What We’re Looking For Deep experience in Applied Machine Learning and Agentic AI systems . Proficiency in modern ML stacks (Python, PyTorch, JAX, Ray, etc.) and production deployment. Proven ability to move fast, ship code, and bridge research with real-world impact. Experience in early-stage or startup environments is a plus. More ❯

proven ability to create and maintain an organized research codebase that produces robust, reproducible results while maintaining ease of use Expertise wrangling an ML framework - they're fans of PyTorch, but they'd also love to learn what you know about Jax, TensorFlow, or others An inventive approach and the willingness to ask hard questions about whether the right approaches More ❯

to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings, or retrieval-augmented generation (RAG). Loves solving complex problems and thrives in … their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure More ❯

and design patterns Strong knowledge of system-level concepts: memory management, concurrency, multithreading Experience debugging complex issues in large codebases Familiarity with optimisation across CPU/GPU boundaries (e.g. PyTorch, TensorRT, CUDA) Proven track record of building maintainable, scalable software with strong modular design Strong instincts for clean APIs, architecture ownership, and technical debt management What’s on Offer Competitive More ❯

and design patterns Strong knowledge of system-level concepts: memory management, concurrency, multithreading Experience debugging complex issues in large codebases Familiarity with optimisation across CPU/GPU boundaries (e.g. PyTorch, TensorRT, CUDA) Proven track record of building maintainable, scalable software with strong modular design Strong instincts for clean APIs, architecture ownership, and technical debt management What’s on Offer Competitive More ❯

and design patterns Strong knowledge of system-level concepts: memory management, concurrency, multithreading Experience debugging complex issues in large codebases Familiarity with optimisation across CPU/GPU boundaries (e.g. PyTorch, TensorRT, CUDA) Proven track record of building maintainable, scalable software with strong modular design Strong instincts for clean APIs, architecture ownership, and technical debt management What’s on Offer Competitive More ❯

and design patterns Strong knowledge of system-level concepts: memory management, concurrency, multithreading Experience debugging complex issues in large codebases Familiarity with optimisation across CPU/GPU boundaries (e.g. PyTorch, TensorRT, CUDA) Proven track record of building maintainable, scalable software with strong modular design Strong instincts for clean APIs, architecture ownership, and technical debt management What’s on Offer Competitive More ❯

Data Scientist, Machine Learning Engineer, ML Engineer, Data Science Engineer, High-Performance Engineering, Python, Data, Pandas, numpy, scikit-learn, pytorch - Oxford - up to 55K About the Role: Join an elite engineering organisation's Software Engineering & Data team, where you'll develop cutting-edge machine learning solutions that directly impact performance at the highest level of competition. This is a unique … relevant field for Data Science 2+ years development experience in Python and machine learning techniques (production or laboratory) Strong knowledge of Python data science packages: Pandas, numpy, scikit-learn, pytorch Experience with Machine Learning techniques: Neural Networks, XGBoost Understanding of pipelines and deployment technologies: Azure DevOps, Docker, GitHub Actions Good understanding of architecture and design patterns Excellent verbal and written More ❯

Sponsorship: Unfortunately we are unable to offer sponsorship for this role. This role in 3 words: Cross-collaboration. Design. Ownership. Top 3 qualities for this role: Adaptability, communication, technical skill Where you'll work: Depending on the needs of your More ❯

tech strategy. Contribute to hiring and mentoring as the team scales. Essential Skills & Experience Deep expertise in Computer Vision , especially in Object Detection . Strong hands-on experience with PyTorch , TensorFlow , and Transformer. Proven track record of delivering CV solutions in production environments. Ability to communicate technical concepts clearly across teams. UK-based and able to travel to London when More ❯

tech strategy. Contribute to hiring and mentoring as the team scales. Essential Skills & Experience Deep expertise in Computer Vision , especially in Object Detection . Strong hands-on experience with PyTorch , TensorFlow , and Transformer. Proven track record of delivering CV solutions in production environments. Ability to communicate technical concepts clearly across teams. UK-based and able to travel to London when More ❯

AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems. Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot More ❯

AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems. Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot More ❯

AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures). Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data. Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems. Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot More ❯

/GitHub, Visual Studio Code, Eclipse • Exposure to AI coding assistants (e.g., Watsonx Code Assistant) • Experience with Python data science and machine learning libraries such as scikit-learn, pandas, PyTorch etc. • Understanding of data visualization tools and techniques • Knowledge of basic statistics and data modeling concepts • Ability to learn and deploy dashboard & visual charts using React or other javascript libraries. …/GitHub, Visual Studio Code, Eclipse • Exposure to AI coding assistants (e.g., Watsonx Code Assistant) • Experience with Python data science and machine learning libraries such as scikit-learn, pandas, PyTorch etc. • Understanding of data visualization tools and techniques • Knowledge of basic statistics and data modeling concepts • Ability to learn and deploy dashboard & visual charts using React or other javascript libraries. More ❯

new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit. Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs. Develop and maintain Infrastructure … code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning More ❯

new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit. Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs. Develop and maintain Infrastructure … code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning More ❯

new features related to model versioning, dataset management, verification workflows, and result/metric aggregations. Collaborate closely with our scientific and technical teams to interface with and containerize our PyTorch-based verification toolkit. Champion an API-first development approach to deliver feature-rich, versioned interfaces that support both our TypeScript user interface and Python-based SDKs. Develop and maintain Infrastructure … code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning More ❯