226 to 250 of 311 Remote/Hybrid PyTorch Jobs

engineering and creative teams to turn ML capabilities into compelling experiences What We’re Looking For: Strong knowledge of Python Experience writing models in PyTorch or JAX A good understanding of how large language models work Comfortable working along the whole ML pipeline: from data preparation to model design, training ...

technology engagements Nice to have Exposure to NVIDIA ecosystems (DGX, HGX, SuperPOD) or alternative accelerators (AMD or similar) Familiarity with InfiniBand/RoCE networking, PyTorch, high-density rack design, liquid cooling or GPU-as-a-Service deployments We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance ...

vectors or mechanistic interpretability. Demonstrated capability to take structured technical problems and formulate hypotheses Strong programming skills in Python and deep learning frameworks like PyTorch, with a track record of writing clean, modular research code, using Git for version control. Excellent communication, enabling you to translate complex technical concepts ...

demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit ...

aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reduction Experience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO. Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs ...

hardware-aware model optimisation techniques such as quantisation, graph optimisation, operator fusionandprecision reductionExperience across multiple ML frameworks, model formats and inference runtimes, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO.Experience analysing, profiling and debugging ML workloads, including model compatibility, performance and the trade-offs between ...

demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating a proficiency across the standard data science toolkit ...

curious about building something new and relish the idea of helping to define AV2.0 and how we build it.DesiredPractical experience with machine learning (e.g. pytorch). Passion to take research ideas to production.Track record of promoting statistical rigour and experimental best practices in your prior roles.Prior experience using causal inference ...

multimodal architectures, foundation models, and large-scale training, with the ability to review designs and code credibly.Proficient in Python and ML frameworks (esp. PyTorch), with strong judgement about what production-grade looks like for ML systems.Strong cross-functional leadership: aligning roadmaps across teams and geographies, and communicating technical context ...

following would also be good to have for this role:Experience with training LLMs or other large transformer architectures.Contributions to ML frameworks (PyTorch, JAX, DeepSpeed, Megatron, xFormers, etc.).Familiarity with evaluation and serving frameworks (vLLM, TensorRT-LLM, custom KV caches).Experience with data pipeline optimization, sharded datasets, or caching strategies.Background ...

applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms. Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code. Hands-on experience with video, generative, or world models (diffusion/flow-matching/autoregressive ...

years in applied ML/research engineering, with a track record of training and shipping neural nets, not only operating data platforms.Strong Python and PyTorch (or equivalent); comfort with GPU training, debugging, and reading model code.Hands-on experience with video, generative, or world models (diffusion/flow-matching/autoregressive ...

substantial research direction with strong execution, and experience mentoring others on a fast‐moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine‐tuning ...

prompting strategies, perform lightweight fine-tuning, and collaborate with researchers to ensure usable, ethical AI outcomes. Work will involve prototyping with Hugging Face, LangChain, PyTorch, and TensorFlow, and integrating AI capabilities across product environments in a fast-moving, agile setting. Remote work options are available in the UK. #J ...

days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

industry with a focus on classic ML methods and NLP applications. The position requires a PhD and strong publication record, with experience in PyTorch/TensorFlow/Scikit-Learn, and a track record of large-scale data experiments. Hybrid work with some office days in Cambridge. #J-18808-Ljbffr ...

Salary: £90,000 (stretch to £100k) + equity Working Model: 100% remote flexibility, with optional access to the London (Spitalfields) office Tech Stack: Python, PyTorch, Hugging Face, Transformers, LoRA, PEFT, LLMs, SLMs, Qwen, Gemini, Retrieval Systems, Embeddings, Semantic Search Visa Sponsorship: Available Interested? Please apply below. ...

datasets Who You Are You have experience building and deploying machine learning systems in production You are comfortable working with ML frameworks such as PyTorch, TensorFlow, or similar You have experience working with large datasets and care about data quality and evaluation You are interested in or have worked with ...

What We're Looking For Proven experience delivering ML systems to production environments Strong, low-level Python skills and deep hands-on experience with PyTorch Experience working with diffusion models, LLMs, or multimodal architectures Practical experience fine-tuning large models (LoRA, PEFT, adapters, etc.) Experience optimizing inference workloads ...

devices and home automation. Required skills and experience: Good programming skills - preferably C++ and OOP Experience of ML frameworks such as ONNX Runtime or PyTorch/ExecuTorch A desire to help developers deploy ML workloads to constrained edge devices A few years' relevant engineering experience 'Nice to have' abilities ...

requirement, helpful experience includes:An interest in working with data at scale using tools like dbt, Spark, and AI/ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn)Experience with Kafka or other event-driven architectures.During our application process, you will be asked two questions to help us learn more about ...

world drug design programs.Skills and qualifications Essential:Significant experience with large scale distributed training of LLMs.Experience with deep learning ML frameworks (either JAX or PyTorch).Knowledge of parallelism strategies and collective communication libraries (e.g. NCCL).Good understanding of GPU architectures. Reasoning about performance concepts is more important than writing kernels ...

deploying and optimizing GPU workloads on: Kubernetes: Container networking (CNI), NVIDIA GPU Operator, RDMA Shared Device Plugin, MPI Operator. Bare-Metal: Slurm, Ansible, Terraform, PyTorch/NCCL environment tuning. Documentation Skills: Demonstrated experience creating enterprise-grade HLDs, LLDs, network rack diagrams, and itemized BOMs. Power & Thermal Awareness: Familiarity with high ...

training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience ...

Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such as PyTorch and TensorFlow. MLOps & Production Deployment: Skilled in applying MLOps frameworks within production environments. Analytical & Problem‐Solving Strength: Excellent problem‐solving and analytical skills. Troubleshooting & Technical … Cognitive services, Event Hubs, Synapse, and Data Factory). Fluency in common data science coding capabilities such as Python and modelling frameworks such as Pytorch, TensorFlow etc. Skilled in application of MLOps frameworks within a production environment. Excellent communication skills, both verbal and written. Strong time management and organisation skills. ...