101 to 125 of 243 PyTorch Jobs

quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP, Bayesian inference, APIs, SQL) Experience leading ...

Data Scientist with production ML exposure Strong understanding of ML algorithms, model development, and deployment Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn) Familiarity with data pipelines and cloud or on-prem environments Understanding of MLOps principles Ability to work in secure or regulated environments Eligibility Must ...

ICLR. Hands-on experience applying deep learning models to complex, ideally temporal or financial, datasets. Expertise in Python and modern ML frameworks (TensorFlow, PyTorch, JAX, etc.). Prior experience in a commercial or industry setting post-PhD, ideally in a similarly data-driven domain. Why Apply Compensation and total rewards ...

intelligence teams to translate complex requirements into practical AI solutions What We’re Looking For Strong Python engineering background with hands-on experience in PyTorch and/or TensorFlow Experience building production systems using LLM frameworks such as LangChain, LangGraph, AutoGen, or similar Expertise with RAG architectures, vector databases, embeddings ...

understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such as LangGraph, ReAct, CoT — or building similar systems from scratch – Familiar with PyTorch/TensorFlow, RAG architectures, vector databases, modern cloud infra – Experience in startup or consulting environments is a plus – Comfortable working autonomously in fast-moving, sometimes ...

ownership of complex problems Strong communication skills, with the ability to explain technical concepts clearly Technical Environment Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant) SQL and large-scale data processing Cloud-based environments (e.g. AWS, Azure, or similar) Experience with model deployment, monitoring, and lifecycle management ...

/or distributed compute environments Experience with GPU scheduling/orchestration (e.g., Kubernetes schedulers - Volcano, Ray, etc.) Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Experience with multi-cloud or hybrid cloud environments Background in performance optimization for training workloads Experience in robotics, simulation, or embodied AI systems ...

distributed systems, networking, and system reliability Demonstrated ability to lead large technical initiatives and influence system design Experience supporting ML workloads or training pipelines (PyTorch, TensorFlow, etc.) Nice to have: Experience with multi-cloud or hybrid cloud environments Background in performance optimization for large-scale training workloads Experience in robotics ...

with awareness of latency and cost tradeoffs MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI Experience with Python and modern ML frameworks (PyTorch, JAX) Excellent verbal and written English communication skills Excellent analytical and problem-solving skills A desire to innovate and push current practice Desirable: Experience with ...

automated workflows using Airflow or similar orchestration tools. Practical familiarity with graph databases and/or graph frameworks (Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms for clustering, link prediction, and community detection is strongly preferred. Solid SQL skills and experience working with large-scale analytical data stores. ...

quantitative discipline 5+ years of ML engineering experience, ideally within finance or a quantitative environment Expert in Python and deep learning frameworks: PyTorch and/or TensorFlow Strong experience with time-series modelling, forecasting, and financial signal generation Familiarity with reinforcement learning applied to trading or sequential decision-making Understanding ...

reinforcement learning, and/or large language models (LLMs) Experience in chip design and applied AI research Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX) Experience influencing organizational policy and securing major research funding ...

modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX) Proven experience balancing innovation (0→1) with mature product lifecycle management Strong track record operating in complex, regulated, or industrial environments Ability ...

skills in C/C++ and scripting languages such as Python Hands-on experience with computer vision and deep learning frameworks (e.g., OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2) Experience with both supervised and unsupervised machine learning, including computer vision, NLP, and LLM-based systems Familiarity with ML/MLOps ...

integrating and deploying AI solutions on edge or resource-constrained platforms (MCUs, MPUs, GPUs, SoCs) (Essential) *Programming proficiency: Python, C/C++, TensorFlow/PyTorch; version control (e.g., Git) (Essential) *Innovative, practical, and communicative - comfortable explaining AI concepts and collaborating with a wide range of stakeholders (Essential) *Proven experience ...

cutting-edge ML infrastructure to be deployed at scale You should bring: MSc or PhD, with 2+ years of industry experience Strong Python and PyTorch skills Experience with ONNX and/or TensorRT Hands-on experience with GPUs (multi-GPU/distributed) is a plus Experience with Docker, cloud platforms ...

Python programming skills • Commercial experience with machine learning • Experience working in Natural Language Processing (NLP) • Experience training ML models using TensorFlow and/or PyTorch • Experience with search databases (e.g. Elasticsearch, OpenSearch) • Experience with cloud platforms (e.g. AWS) • Willingness to work 3 days per week onsite in London Benefits • Stock ...

Artificial Intelligence, including fundamental concepts and applications. Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn. Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently. Familiarity with statistical modeling ...

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 ...

production — ideally in demand forecasting, optimisation, or computer vision contexts Solid Python and SQL skills, with hands-on experience using frameworks such as Airflow, PyTorch, or Spark A good handle on MLOps practices — model versioning, pipeline monitoring, CI/CD, and data quality management Familiarity with AWS, particularly services like ...

role Strong academic background in Computer Science, AI/ML, Engineering, or related field Deep hands-on experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX) Proven track record delivering complex AI initiatives with tangible outcomes Experience working in industrial software, manufacturing, energy, IoT, or other asset-intensive environments ...

networks, or reinforcement learning Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level ...

cross-functionally. Candidates should have at least 5 years' experience in data science, expertise in Python, SQL, and familiarity with machine learning frameworks like PyTorch and TensorFlow. The company values continuous learning and diversity, providing an environment for impactful work. #J-18808-Ljbffr ...

including publishing and presenting Hands-on experience with raw audio data and speech processing tools (such as librosa, Kaldi, Praat) Strong in ML frameworks (PyTorch, TensorFlow, scikit-learn) and experienced with LLMs end-to-end PhD or similar depth of experience in speech technology, acoustics, ML or computational linguistics (desirable ...

business workflow tooling (e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please ...