151 to 175 of 311 Remote/Hybrid PyTorch Jobs

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

systems at scale, including model lifecycle security, data pipelines, and secure deployment.Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML).Solid understanding of cloud‐native and containerised architectures, including Kubernetes and serverless technologies.Experience operating in complex ...

Knowledge, Skills and Experience:Familiarity with knowledge representation, ontology design and semantic or LLM based reasoningExperience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j)Why BAE SystemsHere you’ll build a career with purpose and limitless possibilities. With lifelong learning ...

Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Why BAE Systems Here youll build a career with purpose and limitless possibilities. With lifelong learning ...

Skills and Experience: Familiarity with knowledge representation, ontology design and semantic or LLM based reasoning Experience with one or more graph machine learning packages (PyTorch-Geometric, PyKeen etc.) and knowledge graph toolkits (Neo4j) Why BAE Systems Here youll build a career with purpose and limitless possibilities. With lifelong learning ...

candidates with the following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

candidates with the following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

candidates with the following technical skills:Industry experience working on Agile projects across the full software life cycle.Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...

with the following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large ...

with the following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large ...

with the following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large ...

with the following technical skills:* Industry experience working on Agile projects across the full software life cycle.* Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration.* A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large ...

models work. Python: Strong proficiency and hands-on programming experience in Python are required. ML Frameworks: Practical experience working with machine learning frameworks (e.g. Pytorch) to build, train, evaluate, and deploy models. Version Control: Proficiency with Git for version control and collaborative development is required. Containerisation: Familiarity with Docker ...

inference (e.g., dynamic batching, flash attention, speculative decoding) Proven track record of developing and deploying models at scale Expertise in Python, ML frameworks (TensorFlow, PyTorch), and experience with cloud platforms Strong familiarity with MLOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes) With preferred backgrounds covering some ...

technical lead or engineering manager role with direct reports, mentoring software engineers or machine learning practitioners.7 + years’ e xperience with Python and PyTorch , or an equivalent machine learning framework .Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological datasets.Experience collaborating ...

technical lead or engineering manager role with direct reports, mentoring software engineers or machine learning practitioners. 7 + years' e xperience with Python and PyTorch , or an equivalent machine learning framework . Experience working with biological sequence and network data, including genomics, transcriptomics, proteomics, gene regulatory networks or related biological ...

. Less reliable for visa-sponsored roles, which usually expect a degree. Skills you'll need Technical skills Python and SQL (pandas, scikit-learn, PyTorch/TensorFlow) Statistics, probability and experimental design (A/B testing) Machine learning — supervised, unsupervised and deep learning Data wrangling, feature engineering and pipelines Cloud … vast majority of roles. R is common in research, finance and academia. Beyond languages, employers look for the machine-learning ecosystem (scikit-learn, PyTorch or TensorFlow), cloud and MLOps tooling (AWS/GCP/Azure, Docker), and version control (Git). A public portfolio demonstrating these is worth more than ...

least one production-grade Generative AI or LLM solution, from design through to live deployment at scale.Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph.Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline.This ...

production-grade Generative AI or LLM solution, from design through to live deployment at scale. Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph. Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline. This ...

Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies. Experience with multimodal machine learning, embedding models, representation learning, or foundation models. Strong understanding of modern deep learning architectures, particularly Transformers ...

APIs, third-party libraries, and scalable data pipelines. Desirables: Direct experience with FFmpeg or GStreamer. Familiarity with GPU-accelerated video/AI tech (CUDA, PyTorch, TensorRT, DeepStream). Experience with multimodal AI (VLMs, LLM APIs, Retrieval-Augmented Generation). Cloud and containerization skills (AWS, Docker). ...

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 ...

Latency, throughput, and cost optimisation Monitoring, observability, and evaluation frameworks Scaling ML systems in production environments Tech Environment Python (core ML and backend language) PyTorch/modern ML frameworks LLM ecosystem (OpenAI, Anthropic, etc.) GPU-based training and inference Docker and Kubernetes AWS, Azure or GCP The emphasis ...

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 ...