26 to 50 of 72 Remote/Hybrid PyTorch Jobs

machine learning techniques, including Neural Networks. Familiarity with Python libraries such as NumPy, Pandas, and Scikit-learn. Experience with Deep Learning libraries like PyTorch or TensorFlow. The ability to process large amounts of data, including unstructured data Excellent communication skills for understanding and explaining complex concepts. Strong programming skills with ...

business applications Tech Environment The team are working across a modern cloud environment with exposure to technologies including: Python AWS/Azure TensorFlow/PyTorch/scikit-learn GenAI & LLM tooling AI automation frameworks API and platform engineering Why This Role? Opportunity to join a business making significant investment ...

environments. Advanced programming skills in Python with a focus on code optimisation, modular design, and efficiency. Deep expertise in training and deploying models using PyTorch and TensorFlow. Experience building scalable, production‐grade AI services and automated data pipelines with Docker, Kubernetes, and cloud platforms such as AWS. Strong knowledge ...

LLMs in a commercial environment Exposure to agentic AI/autonomous workflows (or strong interest in this space) Strong Python skills and experience with PyTorch or TensorFlow Ability to build production systems, not just prototypes Solid data engineering capability (pipelines, processing, transformation) Experience working with cloud platforms ...

incubations or complex deep‐tech cross‐functional initiatives with measurable outcomes. Expertise in Python and deep experience with deep‐learning frameworks (e.g., Jax, TensorFlow, PyTorch) and state‐of‐the‐art ML techniques. Practical experience with modern AI paradigms such as world models, foundation models, multi‐modal language models, agent‐based ...

product teams to productionise models into scalable, high-performance systems Requirements Confident programming skills in Python, with experience using modern ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Good understanding of core machine learning concepts such as linear regression, reinforcement learning and deep learning Industry experience using Large Language Models (LLMs ...

degree in computer science, mathematics, statistics, or other fields related to machine learning. Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools) Strong technical communication skills, and ability to communicate across multiple functions. Ability to write ...

Computer Science (or equivalent proven track record). 4 + years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. ...

cloud resources for data analytics and ensuring seamless integration of data pipelines and analytics platforms. Skilled with cloud-based machine learning toolsets , such as PyTorch or equivalent ML frameworks, to leverage state-of-the-art cloud technologies for advanced analytical modelling." Understanding of CI/CD practices , including ...

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 ...

data representations including 2D and 3D geometry Experience with cloud services and architectures (e.g. AWS, Azure) Proficiency with modern deep learning libraries and frameworks (PyTorch, HuggingFace, Ray) Excellent written documentation skills to document code, architectures, and experiments Preferred Qualifications Experience working with distributed systems Knowledge of the design, manufacturing ...

Math, Neuroscience, or another quantitative field. Scientific publications in AI and neuroscience conferences or peer‐reviewed journals. Familiarity with deep learning libraries such as PyTorch, Huggingface, Transformers, Accelerate, and Diffusers. Hands‐on experience in training and fine‐tuning generative models (diffusion models, large language models such as GPTs and LLAMAs ...

market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

bring: * Proven experience building and deploying AI/ML models in production * Strong Python skills and experience with modern ML frameworks (e.g. PyTorch, TensorFlow) * Hands-on experience with LLMs, prompt engineering, RAG, or similar approaches * Ability to operate with high autonomy and take ownership of solutions * Strong communication skills with ...

documentation as we grow What we're looking for - * Solid experience working with AI/ML frameworks (e.g. LangChain, OpenAI API, Hugging Face, TensorFlow, PyTorch) * Comfortable writing production-ready code - Python particularly valued * Understanding of LLMs, prompt engineering, RAG pipelines or similar AI architectures * Ability to communicate technical ideas clearly ...

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 ...

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 ...

automation or autonomous systems; exposure to life science or bioprocess environments is a strong plus. Proficiency in Python and deep‐learning frameworks such as PyTorch or TensorFlow. Basic knowledge of graph theory, planning or reinforcement learning and their application to decision‐making in complex systems. Understanding of distributed systems, APIs ...

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 ...

state‐of‐the‐art Real‐Time DETR (DETRs). Self‐supervised backbones such as DINOv2. Mastery of Python and deep learning ecosystems, specifically PyTorch or TensorFlow, alongside core toolkits like OpenCV. Strong experience deploying vision models at scale using AWS tools (e.g., Amazon EC2 GPU instances, Amazon SageMaker) alongside model ...

proficient in Python and have a good understanding of the ecosystem of tools and libraries that support ML development (e.g., scikit‐learn, PyTorch). You have experience working in a scientific environment across disciplines (particularly physics, chemistry, materials science, and engineering), either through previous roles or study. Are passionate about ...

team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs ...

senior individual contributor. You do not need formal management experience for this role. Familiarity with the AI/ML ecosystem: OpenAI-compatible APIs, PyTorch, and the tooling around LLM-based systems. Ability to work across multiple teams, understanding varied research needs and delivering reliable engineering solutions. A sense of mission ...

perception, previous exposure to multihead attention, experience with deep learning, training and optimizing large architectures as well as already worked with Docker, PyTorch, OOP and Git Demonstrated research/software engineering experience through previous internships, work experience, coding competitions and/or research projects and papers are a plus Fluent ...

perception, previous exposure to multihead attention, experience with deep learning, training and optimizing large architectures as well as already worked with Docker, PyTorch, OOP and Git Demonstrated research/software engineering experience through previous internships, work experience, coding competitions and/or research projects and papers are a plus Fluent ...