301 to 325 of 431 PyTorch Jobs in the South East

Apply NLP and statistical methods to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯

Apply NLP and statistical methods to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯

Apply NLP and statistical methods to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯

cases. Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London (hybrid) £70,000 – £90,000 base Opportunity to work More ❯

cases. Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London (hybrid) £70,000 – £90,000 base Opportunity to work More ❯

cases. Key Skills 3–5 years of hands-on experience across the ML lifecycle Strong Python skills and familiarity with common ML frameworks (Scikit-learn, XGBoost/LightGBM, TensorFlow, PyTorch) Exposure to LLMs or NLP techniques is a plus Experience with cloud-based data platforms and modern MLOps practices Details London (hybrid) £70,000 – £90,000 base Opportunity to work More ❯

those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research More ❯

those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research More ❯

Products* Proven experience in programming languages such as Typescript, along with a strong background in either Python/Typescript.* Willingness to learn, AI/ML frameworks like TensorFlow and PyTorch (prior in-depth experience is not necessary).* A passion for AI and the eagerness to stay current with the latest AI research, trends, and technologies.* Operational experience ensuring internal … topics, that resulted in a definitive direction.* Proven Experience in Delivering Software ProductsWhat will give you a competitive edge (preferred qualifications):* Experience with AI and machine learning frameworks (TensorFlow, PyTorch, etc.).* Experience deploying AI solutions in real-world applications.* Familiarity with cloud platforms (e.g., Azure, Google Cloud) and AI tools.* Hands-on technical experience with core technologies such as More ❯

. Hands-on experience in data handling, visualization , and biological data analysis. Proficient in Python , familiar with software development best practices . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR More ❯

collaborative workflows Problem-solving mindset with ability to learn new technologies quickly and deliver results under pressure Preferred Skills Computer vision or machine learning experience with modern frameworks like PyTorch or TensorFlow Continuous integration/deployment experience and DevOps practices Hardware interface knowledge including CAN, UART, SPI, or I2C protocols Agile development experience with Scrum or Kanban methodologies More ❯

collaborative workflows Problem-solving mindset with ability to learn new technologies quickly and deliver results under pressure Preferred Skills Computer vision or machine learning experience with modern frameworks like PyTorch or TensorFlow Continuous integration/deployment experience and DevOps practices Hardware interface knowledge including CAN, UART, SPI, or I2C protocols Agile development experience with Scrum or Kanban methodologies More ❯

collaborative workflows Problem-solving mindset with ability to learn new technologies quickly and deliver results under pressure Preferred Skills Computer vision or machine learning experience with modern frameworks like PyTorch or TensorFlow Continuous integration/deployment experience and DevOps practices Hardware interface knowledge including CAN, UART, SPI, or I2C protocols Agile development experience with Scrum or Kanban methodologies More ❯

collaborative workflows Problem-solving mindset with ability to learn new technologies quickly and deliver results under pressure Preferred Skills Computer vision or machine learning experience with modern frameworks like PyTorch or TensorFlow Continuous integration/deployment experience and DevOps practices Hardware interface knowledge including CAN, UART, SPI, or I2C protocols Agile development experience with Scrum or Kanban methodologies More ❯

Think ML pipelines, real-time video and language processing, microservices — it’s all in play. ? You'll: Design and build ML models from scratch using Python + TensorFlow/PyTorch Ship features across both frontend and backend (FastAPI for now) Work on NLP, CV, generative AI (GANs/LLMs), and time-series models Own end-to-end ML capabilities: from More ❯

and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem More ❯

and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem More ❯

and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem More ❯

and language models, ideally for identifying cyber threats (URLs, domains, phishing, botnets, etc.) Proficient in a major backend language (ideally Golang) and related ML/AI libraries (e.g. Tensorflow & PyTorch, etc.) Experience with an MLOps platform like Kubeflow. Demonstrated ability to transition models from prototype to production. Experience assessing various AI/ML technologies and models for fit to problem More ❯

or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

or a related field. Demonstrated success shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc. More ❯

state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. More ❯

state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. More ❯

state-of-the-art models for a variety of computer vision tasks, including detection, segmentation, and classification. Writing highly efficient, scalable, and production-ready code in Python using the PyTorch framework. Optimizing models for high-performance inference on diverse hardware using tools like NVIDIA TensorRT, OpenVINO, and ONNX. Managing and processing large-scale datasets and implementing advanced data augmentation strategies. More ❯