76 to 88 of 88 PyTorch Jobs in Central London

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 ...

tools. Scripting and automation skills (Python, PowerShell, Bash, Ansible, Terraform). Experience with workload schedulers (e.g., SLURM, PBS) and AI/ML frameworks (TensorFlow, PyTorch) is a plus. Excellent analytical, troubleshooting, and collaboration skills. Qualifications: Relevant certifications (ITIL, Dell EMC, NetApp, NVIDIA DLI, Veeam, or equivalent) are highly desirable. ...

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 ...

able to communicate clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker ...

Internal tooling, benchmarks, and evaluation frameworks Ideal background: Strong C++ with CUDA and solid Python Deep ML systems optimisation experience (not just model training) PyTorch, large-scale inference, multi-GPU/multi-node systems HPC, embedded, or performance-critical environments ML/Machine Learning/C++/Python/CUDA ...

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 ...

DataLake 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 Agents … 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 AI - NLTK, CBoW, n-grams, Word2Vec, TF-IDF, Word Embeddings - Transformers: BERT, ELMo - OpenAI Models: GPT-3.5 Turbo ...

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 ...

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 ...

succeed in this role, you will have: Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers) Excellent understanding of the Microsoft ecosystem including Azure ...

authentication systems Contribute to Large Behavioural Model architecture and training infrastructure What We’re Looking For Required Strong experience building deep learning systems using PyTorch - not just using API wrappers or pre-trained models Experience implementing modern neural architectures, including attention-based models, custom model heads and positional encoding Experience … constrained environments Familiarity with representation learning or self-supervised approaches Research background or publications in relevant areas Tech stack • ML/AI: PyTorch, MLflow, SageMaker, ZenML • Infrastructure: AWS, Kubernetes, Docker • Edge deployment: CoreML, ONNX • Data: Python, S3, multimodal sensor data pipelines • Collaboration: JIRA, Git, structured OKR methodology Why you will ...

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 ...