126 to 150 of 321 PyTorch Jobs in London

technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or More ❯

technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and CMDB or 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 ❯

Meta is seeking a Research Engineer to join our Large Language Model (LLM) Research team. We conduct focused research and engineering to build state-of-the-art LLMs, which we often open-source, like our team's recent Llama 2. 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 ❯

tech start up which is well funded and has been going for 3 years now. The role We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as … up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs (Good to have) Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them Good understanding of docker and containerization (Good to have) experience with Pytorch and Python3, and comfortable More ❯

tech start up which is well funded and has been going for 3 years now. The role We are hiring a Machine Learning engineer. Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as … up with the latest in deep learning research, reading research papers, and familiarity with the latest developments in foundation models and LLMs (Good to have) Comfortable with productionzing a Pytorch model developed in C++, profiling the model for latency, finding bottlenecks, and optimizing them Good understanding of docker and containerization (Good to have) experience with Pytorch and Python3, and comfortable More ❯

implement ideas from recent ML papers to solve practical challenges using retail image datasets Benchmark multiple approaches through rigorous experimental pipelines Build scalable inference pipelines using frameworks such as PyTorch, TensorRT, ONNX, and TensorFlow Lite (cloud and edge) Collaborate with engineers and product stakeholders to integrate models into end-to-end systems Perform error analysis and iterate on models continuously … foundation in deep learning architectures, including Experience with generative AI models such as diffusion models and vision-language models (VLMs) Proficient in Python and familiar with ML frameworks like PyTorch Familiarity with model optimization and inference acceleration tools (e.g., ONNX, TensorRT, OpenVINO, vLLM) Demonstrated ability to ship ML models in production settings, including performance monitoring and failure analysis Excellent communication More ❯

teams, as well as a strong background in AI research and applied machine learning. Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design. Strong stakeholder management skills and the ability to communicate complex ideas to a diverse More ❯

innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in More ❯

innovative improvements. Qualifications: Proven experience as an MLOps engineer or similar role with a focus on 3D applications Strong programming skills in Python, and familiarity with ML frameworks (TensorFlow, PyTorch, etc.) Expertise in 3D reconstruction and rendering Experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker) Excellent problem-solving skills and ability to work cross-functionally in More ❯

to keep us at the cutting edge. What We're Looking For Strong programming skills in Python (bonus: C++, Java). Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar. Solid understanding of AI algorithms, architectures, and deployment strategies. Familiarity with model optimization, quantization, or on-device inference is a plus. Experience working with cloud platforms (AWS, GCP More ❯

impact and utility. Your Profile: 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems. Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go). Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and serverless More ❯

impact and utility. Your Profile: 6+ years of software development experience, with at least 4 years specifically in building and deploying ML/AI systems. Proficient in Python (pandas, PyTorch, scikit-learn) and comfortable with modern backend stacks (Typescript, Node.js, Go). Experienced in deploying scalable AI models using cloud infrastructure (GCP preferred). Knowledgeable in containerisation (Docker) and serverless More ❯

tuning and policy optimisation/RLHF. Solid understanding of LLM architectures, vector databases and other machine‐learning primitives. Demonstrated hands‐on experience building deep‐learning and transformer models in PyTorch or TensorFlow or other. Experience operating ML infrastructure (model deployment, evaluation, optimisation, data pipelines). Bonus Ex-Startup founder or early technical‐lead experience. Responsibilities Design and deploy advanced machine More ❯

or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding More ❯

or intelligent data extraction pipelines. Deep understanding of NLP fundamentals: text preprocessing, language modeling, and semantic similarity. Strong proficiency in Python, including use of ML libraries such as TensorFlow, PyTorch, or similar. Experience with data science tools and platforms (e.g., Jupyter, Pandas, NumPy, MLFlow). Familiarity with cloud-based AI tools and infrastructure, especially within the AWS ecosystem. Strong understanding More ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series forecasting). Practical experience with Keras or PyTorch is required. Full-Stack Deployment: Demonstrable experience taking models to production, including building and deploying APIs with FastAPI and using Vertex AI for ML workflows. Visualization & Communication: Ability to create More ❯

Big Data, AWS, or Cloud Services Experience with Computer Vision: Kernel, Hardware Accelerator, TVM, or Code-gen Experience with Deep Learning: C++ or Python, and AI, Neural Network, Tensorflow, PyTorch, MxNET, Llvm, Compiler, CPU, CUDA, Nvidia, TensorRT, TPU, Cluster Management, High Performance Computing, or Optimization Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is More ❯

Do Lead applied research in AI/ML, with a focus on sequential data and complex decision-making Develop novel algorithms and prototypes in Python using frameworks such as PyTorch, TensorFlow, and scikit-learn Mentor junior scientists and contribute to team-wide technical strategy Deliver technical reports, presentations, and research proposals to internal and external stakeholders Collaborate with top UK More ❯

Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX. Experience with Large Language Models, including RAG and fine-tuning techniques. Familiarity with compute infrastructure necessary to support operating AI and ML technology. For more information about More ❯

loss functions, and deploying production-ready solutions) Familiarity in statistical methods for Machine Learning (e.g. Bayesian methods, HMMs, graphical models, dimension reduction, clustering, classification, regression techniques, etc.) Familiarity with PyTorch, TensorFlow, JAX or similar frameworks Strong coding abilities in Python Preferred Qualifications Experience in the Architecture, Engineering, and/or Construction domains, including expertise with industry-specific data formats (e.g. More ❯

tuning/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track record of delivering scalable More ❯

architectures, and experiments Experience with ML model monitoring systems Experience with ML training and data pipelines and working with distributed systems Proficiency with modern deep learning libraries and frameworks (PyTorch, Lightning, Ray) Preferred Qualifications Experience owning a product from development through monitoring and incident response Knowledge of the design, manufacturing, AEC, or media & entertainment industries Experience with Autodesk or similar More ❯