126 to 150 of 151 Remote PyTorch Jobs

Artificial Intelligence, Machine Learning, or a related scientific field, or equivalent industry experience. Strong programming skills, especially in Python, with hands-on experience using deep learning frameworks such as PyTorch or similar libraries. Proven experience applying classical and deep learning algorithms to biological problems, ideally in domains such as RNA design, optimization, and molecular modeling. Strong foundation in biology, biochemistry More ❯

pipelines, and you're comfortable taking a feature from concept to deployment. Machine Learning Engineering & Research: A comprehensive background in machine learning, with deep experience in ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and a strong grasp of the underlying theory behind the models and techniques you use. Bonus Points: Experience with modern LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy More ❯

design and verification roles Linux - Essential for systems-level work Git, CI/CD tools (e.g. YAML, Terraform) - Common in DevOps and infrastructure roles Machine Learning Frameworks (e.g. TensorFlow, PyTorch) - Important for AI/ML roles Not every role requires all of these, but familiarity with at least one programming language (like Python or C++) and a collaborative toolset (e.g. More ❯

your tech lead and colleagues from the wider Data Science chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and More ❯

benchmarks and user-defined success criteria. Essential Skills & Experience Proficient in Python, with hands-on experience using APIs and popular ML/AI frameworks such as Hugging Face, LangChain, PyTorch, or TensorFlow. Solid understanding of large language models (LLMs), prompt engineering, and vector database concepts. Proven ability to rapidly prototype, experiment, and iterate in agile or fast-moving environments. Familiarity More ❯

technologies like LLMs, OCR, object detection, and cloud-native deployments , contributing to scalable, production-ready solutions in a collaborative, agile environment. Responsibilities Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI More ❯

OCR, object detection, and cloud-native deployments , contributing to scalable, production-ready solutions in a collaborative, agile environment. What You'll Do: Build and deploy ML models using Transformers, PyTorch, YOLO, OpenCV , and more. Work with LLMs, image analysis, and object detection in real-world applications. Design and optimize APIs using FastAPI and integrate with external systems. Deploy scalable AI More ❯

scale environments. NVIDIA Certified (Preferred). Required Skills Direct experience with GPU services, including resource provisioning, scaling, and optimization. Demonstrable expertise in GPU-accelerated software development (CUDA, OpenCL, TensorRT, PyTorch, TensorFlow, ONNX, etc.). Strong background in performance benchmarking, profiling (Nsight, nvprof, or similar tools), and workload tuning. Experience with Infrastructure as Code (Terraform, HELM Charts, or equivalent) for automated More ❯

creativity, collaboration, and drive: Deep learning expertise with 2+ years in language generation. Experience with LLMs, neurosymbolic integration, and knowledge representation. Strong Python skills and experience with ML frameworks (PyTorch, HF, TensorFlow, JAX). Demonstrable track record of end-to-end applied research. Excellent communication skills; proven mentoring ability. Collaborative and proactive in fast-paced environments. Desirable: Experience with symbolic More ❯

inference endpoints. Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge More ❯

inference endpoints. Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge More ❯

inference endpoints. Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge More ❯

inference endpoints. Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge More ❯

inference endpoints. Support pre-sales efforts, workshops, and proof-of-concepts alongside go-to-market teams. AI & ML Engineering Implement and optimise AI/ML models using frameworks like PyTorch, HuggingFace, LangChain, and NVIDIA Triton. Fine-tune foundation models for domain-specific use cases. Deploy and maintain inference services using REST/gRPC APIs, containerised and distributed systems. Data & Knowledge More ❯

CVE Management), Observability, Performance or Scale Understanding of DevOps methodology, scrum, and/or Jira. Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow. Bachelor's degree in computer science or related discipline. Remote means living elsewhere in Ireland About Red Hat is the world's leading provider of More ❯

andinternationally. RequiredExperience Strongknowledgeofdatamodelling,machinelearning,and/oradvanceddataanalytics. Demonstrabletrackrecordofdeliveringdataanalyticsprojectsaspartofateam. Hands-onexperiencewithcollaborativesoftwaredevelopmentandversioncontrol(preferablyGit). FamiliaritywithAgile/SCRUMmethodologies. Exposuretopre-engagementactivitiessuchasprojectscoping,technicalfeasibilityanalysis,orprototypedevelopment. Comfortablecontributingtotechnicaldiscussionsandimplementingsolutionsdefinedbyprojectleads. DesirableExperience StrongPythonexpertise. ExperiencewithGNU/Linuxenvironments. FamiliaritywithkeydatascienceandMLframeworks(e.g.,scikit-learn,PyTorch,TensorFlow,XGBoost,HuggingFace). Experienceinnaturallanguageprocessing,tabulardataanalysis,orcomputervision. SQLproficiency. Exposuretocontainerisation(Docker,Kubernetes)andcloud-nativearchitectures. ExperiencewithCI/CD,automatedtesting,anditerativeproductdevelopment. Knowledgeofgraphdatabasesandgraphanalysis. Benefits Ourclientoffersanexcitingandsupportiveenvironmentwithastrongfocusonemployeewellbeingandcareerdevelopment.Benefitsinclude: 35daysannualleave(includingpublicholidays)plusupto10daysunpaidleave. Flexibleworkingarrangementsaroundcorehours. Privatehealthinsuranceandpensionscheme. Contributiontogymmembership. Ongoingprofessionaldevelopmentsupport(courses,certifications More ❯

finance experts to translate real-world workflows into AI agents. Key Requirements: Strong experience in NLP/LLM training and fine-tuning (transformers, embeddings, LoRA/PEFT).Proficiency with PyTorch/TensorFlow, Hugging Face ecosystem, and MLOps tooling. Experience working with financial or structured transactional data. Knowledge of data privacy and regulatory requirements in fintech (SOC2, PCI-DSS, GDPR). More ❯

feature engineering Promote best practices in data science, model validation, documentation, and reproducibility Qualifications Experience Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs Strong statistical and experimental design background, including A/B testing and causal More ❯

customer facing developer workflows. Experience developing for and on Arm architectures. Experience profiling or debugging ML workloads. Experience designing, training, optimizing, and deploying machine learning models using frameworks like PyTorch, JAX, LiteRT or HuggingFace Transformers. Experience collaborating closely with product or design teams. In Return: Our team offers an inclusive and highly collaborative environment, with work that spans a wide More ❯

Job Title: A.I. Engineer Location: Hybrid Work Model Reporting to Vienna, VA Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Responsibility: Build and enhance machine learning models through all phases of development including design, training More ❯

networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn. Learn about data pipelines, from data ingestion to model deployment. Deepen your understanding of algorithms, AI ethics, and the latest trends in AI. Hands-on experience with … Strong desire to learn new technologies and methodologies. Teamwork : Ability to collaborate with others and contribute to team success. Preferred Qualifications : Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch). Understanding of data structures, algorithms, and mathematical foundations for AI. Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. Previous internship or project experience in AI More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at More ❯

Ready to take your ML skills from experiment to impact? Are you a Machine Learning Engineer who’s passionate about building real-world solutions that make a difference, not just proof-of-concept models gathering dust? You’ll be at More ❯

About us We love pets - which is why we're on a mission to make the world a better place for pets and their parents. We offer pet insurance policies with generous pet health benefits that are designed with their More ❯

or twice per month). Responsibilities: Train, evaluate, and optimize CNN-based AI models for medical imaging applications Perform hyperparameter tuning and iterative refinement of models using TensorFlow and PyTorch Support retraining efforts as new data is acquired from hospital partners Integrate AI modules into embedded systems (Windows or Linux-based with Intel CPU and small GPU) Collaborate with algorithm … processing using Python Participate in design reviews, documentation, and regulatory discussions as needed Requirements: 5+ years of experience in AI model development, training, and deployment Proficient with TensorFlow and PyTorch Strong Python programming skills and a solid foundation in software engineering Experience integrating AI models into embedded environments Solid understanding of CNNs and image processing techniques Background in medical imaging More ❯