151 to 174 of 174 PyTorch Jobs in London

fields. Background in wireless communication systems, e.g., OFDM and MIMO technologies. Track record of related publications or successful projects. Proficiency in Deep Learning frameworks (PyTorch, JAX). Familiarity with advanced AI methods (e.g., transformer models). Excellent scientific communication and teamwork skills. Enthusiasm for innovative research with real-world impact. ...

workload schedulers such as SLURM or PBS. •Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow, PyTorch, CUDA). Solid understanding of networking, storage, and server platforms in both Windows and Linux environments. •Advanced analytical, troubleshooting, and performance tuning skills, with the ability ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...

twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy models to serve our worldwide customer base. Position Overview ...

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 … 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 ...

dataset is collected and used. What you bring PhD (or equivalent experience) in ML, computer vision, graphics or a closely related field. Strong PyTorch skills and experience training models on large‐scale image or 3D data. Track record in generative AI, material estimation, 3D‐aware learning or similar high‐impact ...

dataset is collected and used. What you bring PhD (or equivalent experience) in ML, computer vision, graphics or a closely related field. Strong PyTorch skills and experience training models on large‐scale image or 3D data. Track record in generative AI, material estimation, 3D‐aware learning or similar high‐impact ...

user interactions Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive ...

user interactions Essential Qualifications: Experience with real-time protocols (eg. WebSockets gRPC, MQTT, SSE or similar) Experience with implementing on-device machine learning (eg. PyTorch Mobile, ML Kit, TensorFlow Lite) Strong understanding of Android performance: lifecycle, coroutines, memory, and threading Familiarity with edge-friendly architecture: offline-first, sync queues, reactive ...

installer creation Familiarity with 3D file formats (Alembic, USD, glTF, FBX) Background in VFX, games, or virtual production workflows Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer The chance to shape the future of 3D content creation in a fast-moving startup Direct contact & close relationships ...

installer creation Familiarity with 3D file formats (Alembic, USD, glTF, FBX) Background in VFX, games, or virtual production workflows Experience with ML pipeline integration (PyTorch, model inference optimization) What we offer The chance to shape the future of 3D content creation in a fast-moving startup Direct contact & close relationships ...

Data Lake architectures. Develop and deploy ML models (supervised, unsupervised, tree-based, ensemble methods). Implement deep learning architectures (CNN, RNN, LSTM) using TensorFlow, PyTorch, and Keras. Work on NLP and Generative AI tasks including embeddings, transformers (BERT, GPT), and OpenAI APIs. Integrate agentic AI frameworks (LangChain, LangGraph, MCP, Bedrock … Trees, Random Forest, Gradient Boosted Trees, XGBoost Unsupervised Models: K-Means, DBSCAN, Hierarchical Clustering Deep Learning ANN, CNN, RNN, LSTM Frameworks: TensorFlow (Gradient Tape), PyTorch NN, Keras Sequential NLP & Generative AINLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings Transformers: BERT, ELMo OpenAI Models: GPT-3.5 Turbo ...

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 ...

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 … 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 ...

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 … 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 ...

regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research … prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands ...

regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research … prototype, and deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands ...

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and ...

Machine Learning Specialist (Computer Vision) Profile: Safe Intelligence is on a mission to make AI safe and reliable for anyone to use. To help us succeed, our team is looking for Machine Learning Specialists, and ...

Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in Google Cloud, supporting ML teams by enabling efficient … work closely with ML engineers and researchers, ensuring that large volumes of unstructured and structured data can be reliably accessed, processed, and consumed by PyTorch-based systems. Key Responsibilities Design and build cloud-native data pipelines using Python on GCP Manage large-scale object storage for unstructured data (Google Cloud ...

partnering with a technology-led organisation to hire a Senior Data Engineer with strong cloud and Python experience and hands-on exposure to PyTorch-based ML workloads . This role sits firmly in data engineering rather than data science or pure ML engineering and will suit someone who has supported … build, and maintain scalable cloud data pipelines supporting ML workloads * Manage large volumes of unstructured data using cloud object storage (GCS/S3) * Support PyTorch-based data loading and dataset management in production environments * Work closely with ML practitioners to enable training and inference pipelines * Ensure efficient memory usage ...

partnering with a technology-led organisation to hire a Senior Data Engineer with strong cloud and Python experience and hands-on exposure to PyTorch-based ML workloads . This role sits firmly in data engineering rather than data science or pure ML engineering and will suit someone who has supported … build, and maintain scalable cloud data pipelines supporting ML workloads* Manage large volumes of unstructured data using cloud object storage (GCS/S3)* Support PyTorch-based data loading and dataset management in production environments* Work closely with ML practitioners to enable training and inference pipelines* Ensure efficient memory usage ...