14 of 14 PyTorch Jobs in Surrey

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g., GitHub Actions, Jenkins) and the ability to design and implement efficient CI More ❯

experience in: Generative AI, including hands-on implementation of state-of-the-art models. 3-D vision Developing with machine learning frameworks - Tensorflow/Pytorch Strong development skills with Python and/or C/C++ is required. Excellent communication, teamwork and a results-oriented attitude Proficiency in problem-solving More ❯

e.g., quantization, pruning, knowledge distillation) Proven success in: Software development using Python and/or C/C++ Working with ML frameworks such as PyTorch and/or TensorFlow Writing clear and thorough documentation Using standard software engineering tools and practices (e.g., Git) Strong communication and collaboration skills with a More ❯

Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow, Kubeflow). Solid in DevOps, CI/CD automation with Bitbucket Pipelines, Azure DevOps, GitHub. Automate deployment of More ❯

video). Research and implement methods such as contrastive learning, model compression, or multimodal LLMs. Tackle real-world challenges with efficient, scalable code using PyTorch or TensorFlow. Work within a high-impact team and contribute to research publications and internal reports. What We’re Looking For: PhD student or recent More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

Researcher role, you must have: A PhD in Natural Language Processing, AI, Electrical Engineering, or a related field. Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. Strong programming skills in C++, C, or Python. Experience working with embedded or mobile devices. Ideally, 2+ years of industry experience post More ❯

with other researchers and engineers. About You Practical knowledge of multimodal AI - LLM and VLM Excellent knowledge of machine learning and relevant frameworks as PyTorch and/or Tensorflow A strong research focus with first author publications in reputable ML/AI conferences/journals PhD student or graduate in More ❯

individuals. Develop AI-powered accessibility solutions. Ensure compliance with data privacy and ethical AI guidelines. Essential: Machine learning & deep learning - Proficiency in TensorFlow (2.x), PyTorch, Scikit-Learn. Strong skills in Python, experience with R or JavaScript is a plus. Experience with Health data processing - HER, FHIR, Wearable sensor data. Knowledge More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

/ML engineering experience, ideally in SaaS, cloud, or data-driven products * Advanced Python skills, including experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, or TensorFlow) * Experience deploying ML models in production environments, ideally using AWS services (SageMaker, Lambda, Step Functions, etc.) * Solid understanding of serverless and event-driven More ❯

managing priorities and workload What You'll Need: Strong software engineering skills Experience in machine learning engineering , with proficiency in modern libraries such as PyTorch Deep understanding of generative diffusion models and VAEs Ability to work autonomously, identifying and prioritising key tasks Strong communication skills and the ability to collaborate More ❯