151 to 175 of 181 Remote PyTorch Jobs

5+ years of relevant experience Strong expertise in data science, Bayesian modeling, probabilistic programming, and uncertainty quantification Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation Proficiency in Python, R, SQL, and data engineering tools such as Spark or Apache Beam and experience in designing, executing, and analyzing A/B tests Ability … business and product improvements Develop scalable algorithms and automated data processing frameworks to optimize analytics workflows Technologies: AI AWS Azure Big Data Cloud ETL GCP Support Machine Learning Network PyTorch Python SQL Spark TensorFlow More: International crossfunctional teams working on cutting edge multimedia solutions. last updated 44 week of More ❯

in candidates who have experience at large, international companies. Technical Skills : Strong proficiency in languages like Java, Scala, or Python . Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow . Experience : Previous experience working on distributed systems is a plus. This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. More ❯

C# Experience with medical device software certification (CE marking) Practical experience in medical image processing Experience developing and deploying machine learningbased image recognition models Familiarity with frameworks such as PyTorch or TensorFlow Experience working in a bilingual (English/Japanese) development environment Location: This position is based in the United Kingdom (Remote or hybrid work available) Short-term business trips More ❯

PHY/MAC layers, cellular or Wi-Fi systems)• Interest or experience in AI/ML methods and their practical application• Programming and data analysis skills (e.g. Python, TensorFlow, PyTorch, or MATLAB)• A collaborative mindset and enthusiasm for experimentation and innovation Bonus points if you also bring:• Hands-on experience processing or analysing wireless data• Familiarity with lab or test More ❯

to explore, learn, and publish. 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 complex problems and thrives in … their work genuinely moves the 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, AWS, Azure, Google Cloud, AI Infrastructure More ❯

Why Work at Lenovo We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked in the Fortune Global 500, and serving millions More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

and putts into a stable, production-ready app. Refine computer vision - real-time object detection and tracking using Core ML/Vision (or similar frameworks such as OpenCV or PyTorch). Balance accuracy and performance - deliver fast, thermally efficient gameplay on iPhone. Collaborate directly with our CEO (a former developer) and Chief Product Officer, to make key architectural decisions. Own More ❯

members in identifying and addressing data science opportunities. Required Skills & Experience Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. … solving skills and ability to work independently or in a team. Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. More ❯

bonus + benefits About the Company: Our client is scaling an ML-driven data and analytics platform and modernizing their engineering standards. Their current stack includes Python, GoLang, TensorFlow, PyTorch, AWS, and Kubernetes , with a focus on building scalable, ML-driven data and analytics platforms. They are planning to hire 5-7 engineers right now with further expansion in … What You'll Do: Platform & ML Enablement * Design and implement Go services for data ingestion, transformation, and orchestration on AWS & Kubernetes * Integrate with Python-based ML services (TensorFlow/PyTorch), enabling model training, evaluation, and real-time/batch inference * Help standardize frameworks, libraries, and best practices across DS/Eng (packaging, environments, CI/CD, testing) * Contribute to the More ❯

player development, grassroots participation, and tournament planning Perform clustering and statistical analysis on historical performance data to identify tactical and developmental insights Develop computer vision models (e.g. YOLO, TensorFlow, PyTorch) for match analysis, crowd monitoring, and event operations Design and maintain robust data pipelines for structured and unstructured data using Microsoft Fabric and Azure Synapse Build and deploy scalable machine … SQL Power BI, matplotlib, Plotly Azure (RBAC, AAD, Blob Storage); experience with AWS or GCP is also valued Strong foundation in statistics, modelling, and data wrangling Scikit-learn, TensorFlow, PyTorch Soft Skills: Ability to translate business problems into analytical solutions Confident communicator capable of presenting insights to non-technical stakeholders Effective team player who works well in cross-functional environments More ❯

real-time ML applications Maintain and improve recommender systems Build and work with modern API and microservices architectures Strong foundation in Python Experience with machine learning, familiar with Huggingface, Pytorch, and similar ML tools and packages Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD … encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. Python, Apache Kafka, Semantic search, PyTorch, Algorithms, Docker, Amazon Web Services, Language Models, Service support, Back End, Machine learning, DevOps Engineering, Monitoring, Cloud, Labour market, Pipelines, Database, Realtime, Infrastructure, Recommender system, Agile Environment, Software Use, Terraform More ❯

Overview We are hiring a Senior Machine Learning Engineer to build, ship, and steward production ML systems that power marketing optimisation, forecasting, and decision automation across our verticals. You will own the end to end ML lifecycle: feature pipelines, training More ❯

ship ML and LLM features in a 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-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain More ❯

agent roles, tool use, memory and hand-offs; build resilient multi-agent journeys for discovery → advice → purchase. LLM training & tuning: Run LoRA/QLoRA/full fine-tunes with PyTorch/Hugging Face on Vertex AI ; own data curation and the evaluation harness. Measurement: Set and track KPIs (task completion, hand-off success, latency/cost/factuality, business outcomes … . Classical ML where it counts: Ship intent classifiers, outcome forecasters and recommendation pipelines with scikit-learn/XGBoost/LightGBM . Stack (core) Python (production-grade) LLM tooling: PyTorch, Hugging Face, TensorFlow Fine-tuning: LoRA/QLoRA/full training GCP/Vertex AI: Training, Pipelines, Registry/Deploy Experimentation: SQL, A/B test design, causal thinking Predictive More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯

We are looking for Senior Applied Scientist to lead the design and deployment of cutting-edge AI-powered digital identity solutions. Join our team and collaborate with engineers, data scientists, and researchers to shape the future of secure authentication. What More ❯

Job Title: Full-Stack Engineer Location: Nottingham, UK Hybrid Role About the Role: We are seeking a talented and versatile Full-Stack Engineer to join a leading vehicle security systems business. In this role, you will collaborate closely with developers More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates More ❯

Job Title: Full-Stack Engineer Location: Nottingham, UK Hybrid Role About the Role: We are seeking a talented and versatile Full-Stack Engineer to join a leading vehicle security systems business. In this role, you will collaborate closely with developers More ❯

Job Title: Full-Stack Engineer Location: Nottingham, UK Hybrid Role About the Role: We are seeking a talented and versatile Full-Stack Engineer to join a leading vehicle security systems business. In this role, you will collaborate closely with developers More ❯

and/or CUDA code to achieve performance breakthroughs. Required Skills Understanding of Linux systems, performance analysis tools, and hardware optimisation techniques Experience with distributed training frameworks (Ray, Dask, PyTorch Lightning, etc.) Expertise with Python and/or C/C++ Development with machine learning frameworks (JAX, Tensorflow, PyTorch etc.) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Highly More ❯