9 of 9 PyTorch Jobs in Berkshire

demos and workshops. Experience leading team of AI/software engineers Experience driving productivity and cost optimisations Skills: Python with AI/ML frameworks (PyTorch, TensorFlow). Prompt Engineering, Langchain, Langsmith/Langfuse, Gen AI/Agentic AI, Cloud platforms (Azure AI Foundry, AWS Sagemaker/Bedrock, GCP Vertex ...

services (ADLS, ADF, Databricks, SQL Databases) Supporting: Azure ML Services React/CSS/JavaScript Azure infrastructure R, Powershell Kubernetes/Docker Tensorflow/Pytorch Principles: Data Modelling Data Science Data Warehouse Theory Data Architecture Master Data Management Key Words: Azure - AI - Artificial Intelligence - ML - Machine Learning - Consultant - IT Consultancy ...

lifecycle, from experimentation through deployment and monitoring. Proficiency in Python and familiarity with ML/AI libraries (e.g., PyTorch, TensorFlow, Hugging Face). Experience with prompt engineering and optimisation for generative AI systems. Comfortable working with cloud platforms (preferably Azure) and containerisation (Docker/Kubernetes). Knowledge of MLOps tools ...

Mandatory) Degree in Computer Science, Data, Finance, or related field. Strong hands-on expertise in Python, SQL, and modern AI/ML frameworks (TensorFlow, PyTorch). Experience with at least one major backend language (Java, C++, C#, Go). Working knowledge of Typescript/Node.js and modern UI frameworks. Proven ...

Quantitative experience (statistics, time series forecasting, demand, traditional modelling, regression, numbers) Experience working on LLM's Demonstrable knowledge of Python AI libraries e.g., TensorFlow, PyTorch, Keras, Scikit-learn Software development experience in Python (with Django and Go) Demonstrated ability of productionising/deploying AI models Familiarity with the AWS cloud ...

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 ...

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 ...

novel approaches and clever hacks are often required for the problems that we are working on. You will use our Kubernetes cluster to deploy PyTorch and TensorFlow training jobs, Snowflake and Dataflow to build datasets, tools like Streamlit to prototype new demos (try one of our live demos here … models and auto-labeling data. What You Need +5 years of professional software engineering experience with proficiency in Python. Comfortable with frameworks such as PyTorch, TensorFlow, Keras, or JAX. Strong experience with computer vision and multimodal LLMs. Trained neural networks that moved into production. Nice To Have Industry experience with ...

NeurIPS, ICLR, AAAI). Advanced Python or C++ (especially C++11 and newer) experience. Advanced experience in deep learning and its different toolkits, in particular Pytorch or TensorFlow. Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include …/transfer and every two years thereafter. Demonstrated ability to translate research into real-world applications. Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, HuggingFace). Hands-on experience with generative models, especially diffusion and transformer-based synthesis. Experience building and training multimodal autoregressive models, Preferred Qualifications Experience ...