151 to 175 of 206 PyTorch Jobs

Experience operating and scaling ML infrastructure Excellent communication and stakeholder engagement skills Nice to Have Recommendation systems Ranking systems Personalisation platforms LLMOps experience TensorFlow PyTorch MLflow Triton Ideal Backgrounds We're particularly interested in candidates from: Recommendation & Personalisation E-commerce & Retail Tech Search & Discovery Conversational AI Fraud Detection Gaming High ...

What you'll bring Strong commercial MLOps or ML engineering experience, taking models from R&D into production Distributed training frameworks (e.g. Ray, DeepSpeed, PyTorch Lightning) Experiment tracking and model registries (e.g. MLflow or similar) Model optimisation (e.g. ONNX, TensorRT, quantisation) Docker and containerised deployment CI/CD tooling (e.g. ...

years commercial experience in Data Science, Analytics or Machine Learning is preferred. Solid understanding of machine learning and statistical modelling. Experience with PyTorch, TensorFlow or similar frameworks would be advantageous. Self-motivated, curious and eager to learn. You’ll work on real business problems, see your models directly influence customer ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

work Data and ML pipelines built for production, not demos Dashboards and tools that non-technical users can act on Python (Pandas, scikit-learn, PyTorch/TensorFlow), Spark and AWS Why it's worth a look Real operational deployment, not endless proofs of concept Direct contact with the people using ...

engineering problems. Knowledge of computer vision, image processing, machine learning or deep learning techniques. Experience using Python or MATLAB, with familiarity with Simulink or PyTorch beneficial. A research-focused mindset, intellectual curiosity and an interest in emerging technologies. Clear communication skills and the ability to collaborate across multidisciplinary engineering teams. ...

deep-learning projects at high data volume commercially, owning deployment, CI/CD, monitoring and lifecycle management. Strong Python: Solid Python with PyTorch or similar ML frameworks. Model evaluation: You diagnose why models underperform across data, features and architecture, and make reasoned trade-offs. Real-time & distributed ML: A strong ...

models work. Python: Strong proficiency and hands-on programming experience in Python are required. ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train, evaluate, and deploy models. Version Control: Proficiency with Git for version control and collaborative development is required. Containerisation: Familiarity with Docker ...

among others); OR equivalent work experience delivering state-of-the-art AI/ML solutions. Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow). Familiarity with machine learning literature and state-of-the-art approaches. Experience developing and delivering robust software solutions, including demonstrated advanced programming ...

transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly … generative AI solutions, working with large language models, building agentic systems, implementing RAG architectures, and training/fine-tuning neural networks using frameworks like PyTorch Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including ...

transformative ML systems from the ground up – Design and architect net-new generative AI solutions, agentic workflows, and intelligent platforms using advanced ML frameworks (PyTorch, etc.), large language models, and emerging AI technologies that fundamentally change how analysts work and how Fitch operates Drive breakthrough AI innovation and experimentation boldly … generative AI solutions, working with large language models, building agentic systems, implementing RAG architectures, and training/fine-tuning neural networks using frameworks like PyTorch Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field Production ML engineering excellence – Deep understanding of ML operations, including ...

What you will bring: - 6+ years in Machine Learning and Data Science with an emphasis on NLP and LLM fine-tuning. - Proficient in Python, PyTorch, Hugging Face, LangChain, LlamaIndex, and vector databases (Pinecone/Milvus). - Solid understanding of transformer architectures, prompt engineering, RAG pipelines, and model evaluation. - Experience working ...

technical problems. Clear communication and a collaborative approach. Desirable Experience Experience working across C++, C# and Python. Familiarity with OpenCV and frameworks such as PyTorch or TensorFlow. Object detection, image classification, segmentation or visual inspection applications. Real-time processing, GPU acceleration or deployment to edge devices. Model optimisation and inference ...

practices Skills & Experience * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) * Experience with RAG and LLM-based solutions * Solid understanding of AI architectures and data pipelines * Knowledge of security, compliance, and governance principles from ...

Experience \n \n * Strong experience with AI engineering, or software engineering (e.g. Python, Java, JavaScript/TypeScript etc.) with libraries/frameworks such as PyTorch, TensorFlow etc.) \n * Experience with RAG and LLM-based solutions \n * Solid understanding of AI architectures and data pipelines \n * Knowledge of security, compliance ...

following: Python, R, or Julia. Hands-on experience using data science and machine learning libraries such as Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, Keras, or equivalent. Experience working with Next Generation Sequencing (NGS), OMICS datasets, or other large-scale biological data. Knowledge of variant calling, exome sequencing, whole genome sequencing ...

project delivery Key Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing ...

project delivery Key Skills: We are interested in the following skills, but they are not essential for you to apply: Knowledge of C++, Python, PyTorch, OpenCV, CUDA, TensorRT, Git, WSL, Docker, Jira/Confluence Machine Learning and Deep Learning Computer Vision methodologies and algorithms MLOps Developing ...

Raspberry Pi or similar embedded and single-board platforms - Practical experience applying AI and machine learning to real-world problems, using frameworks such as PyTorch, TensorFlow or scikit-learn - Daily, hands-on use of AI coding tools as a primary part of how you develop - A development-first background building ...

management - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch - Experience facilitating discussions with senior leadership regarding technical/architectural trade-offs, best practices, and risk mitigation Amazon is an equal opportunities employer. We believe ...

management - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch - Experience facilitating discussions with senior leadership regarding technical/architectural trade-offs, best practices, and risk mitigation Amazon is an equal opportunities employer. We believe ...

Design and build transformative ML systems – Lead the development of advanced generative AI solutions, agentic workflows, RAG architectures, and intelligent platforms using PyTorch, modern ML frameworks, and large language models; write production-quality code that scales and performs Drive AI innovation through hands-on technical work – Experiment with frontier models … proficiency in Python and ML algorithms ranging from classical techniques to deep learning; proven experience training, fine-tuning, and deploying neural network models using PyTorch with focus on performance optimization and scalability Bachelor's degree in Machine Learning, Computer Science, Data Science, Applied Mathematics, or related field (Master ...

model versioning, monitoring, automation) Demonstrable experience building recommendation systems (collaborative filtering, content-based, hybrid approaches) Strong proficiency in Python and common ML libraries (TensorFlow, PyTorch) Experience working with large-scale data processing tools If you are interested in the Machine Learning Engineer role, please send an application detailing proof ...

Teaming) Minimum 2 years focused on AI/ML security Strong programming skills in Python/Java Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) Familiarity with AI tooling (e.g., LangChain, LlamaIndex, red-teaming toolkits) Proven ability to assess and secure AI systems end-to-end Nice to Have ...

Experience working with recommendation systems, ranking models, or other low-latency online ML applications. Strong software engineering and production engineering mindset. Experience with TensorFlow, PyTorch, or similar machine learning frameworks. Understanding of model serving, monitoring, scalability, and production infrastructure. Exposure to LLMOps or deploying large language models in production environments ...