24 of 24 PyTorch Jobs in Guildford

or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role Highlights: £80,000–£100,000 salary plus bonus (depending on experience) UK-based | Remote-first More ❯

Science, Machine Learning, Statistics, Computer Science, or a related field Strong Python skills and familiarity with libraries like pandas, scikit-learn, and TensorFlow or PyTorch Solid understanding of statistical analysis and machine learning fundamentals Excellent problem-solving and communication skills A proactive mindset and eagerness to grow in a fast More ❯

and machine learning applied to audio. Proficiency in programming languages such as Python, C++, and MATLAB. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch, etc.). Understanding of real-time and embedded audio processing techniques. Experience working with generative AI models for audio synthesis and transformation. Strong problem-solving More ❯

at least 1 year focused on Generative AI and NLP. Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like 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 Model optimization and knowledge distillation. Strong fundamentals in machine learning, NLP and Computer Vision Publications in top ML/AI conferences/journals (e.g., ICML More ❯

Qualifications and Skills: Background in machine learning, data science, or AI, with a related degree Strong Python programming skills and experience with TensorFlow and PyTorch Experience building and deploying ML pipelines Understanding of algorithm performance in sensitive environments Experience in defence, aerospace, or security sectors is preferred Knowledge of computer More ❯

data science, or AI, with a degree in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the More ❯

record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive models to design biological sequences and/or analyse biological sequence data (DNA, RNA More ❯

Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For More ❯

crucial. Proficiency in Python and SQL; experience with libraries such as SciKit Learn, Pandas, Numpy is highly desirable. Experience with deep learning frameworks like Pytorch or TensorFlow. Understanding of the full data science project lifecycle, from problem definition to data engineering, modeling, and evaluation. Ability to perform ad-hoc data More ❯

Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What You’ll Do Work More ❯

to open research Requirements: • PhD or equivalent experience in ML, AI, CS, physics, or mathematics • Proficient in Python, C++, and deep learning frameworks (e.g., PyTorch, TensorFlow) • Solid grasp of ML techniques; independent and team-oriented mindset Preferred: • Experience in LLMs, reinforcement learning, or chip design • Familiarity with JAX and optimization More ❯

eFuse, HBM) HW-SW co-design Deep knowledge of any; VPU/NPU/GPU/CPU/TPU architecture ML frameworks - Tensorflow/PyTorch/Python or similar DSP algorithms - FIR/IIR filters or FFT... low-power, performance and optimisation Applicants must have UK/EU/France More ❯

Proven experience in AI/ML implementation, ideally within marketing, media, or eCommerce. Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Experience with cloud platforms (AWS, GCP, or Azure) and deploying AI models in production. A strategic mindset with the ability to balance More ❯

practices for handling sensitive legal content securely. Required Experience: Solid experience with Python and ML/NLP libraries (e.g., spaCy, Hugging Face, TensorFlow/PyTorch). Experience building NLP or document analysis solutions, ideally for legal or compliance use cases. Strong understanding of legal language, structures, and workflows (e.g., contracts More ❯

in Python and SQL, with experience using libraries such as SciKit Learn, Pandas, and Numpy being highly desirable. Experience with deep learning frameworks like Pytorch or TensorFlow. An understanding of the full data science project lifecycle, from problem statement through data engineering, model building, and evaluation. Ability to perform ad More ❯

solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with More ❯

data handling, visualization , and biological data analysis. Proficient in Python , familiar with software development best practices . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to More ❯

especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your More ❯

solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with More ❯

AI or ML teams (ideally in robotics or autonomous systems) Deep knowledge of CV, deep learning, RL or SLAM Strong Python and ML stack (PyTorch, TensorFlow, etc.) Startup mindset: hands-on, agile, and impact-driven Why Join Us Competitive salary + equity Hybrid working with an awesome London HQ Work More ❯

training, fine-tuning, and inference APIs. Requirements 5+ years of experience building and deploying machine learning systems in production environments. Proficiency in Python and PyTorch, with a strong understanding of transformer architectures, LLMs, and multimodal generative models. Expertise in distributed training frameworks like DeepSpeed or Fully Sharded Data Parallel (FSDP More ❯

to market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) #J-18808-Ljbffr More ❯

LLVM or MLIR Work with hardware teams to ensure the software stack fully leverages the capabilities of our OTPU architecture Extend ML frameworks (e.g. PyTorch, ONNX, OpenXLA) to better support performance-critical inference paths Lead design reviews, mentor engineers, and promote best practices in HPC and performance engineering Stay on … sensitive applications Hands-on experience with ML compilers (e.g. LLVM, MLIR), and knowledge of runtime and scheduling optimisations Practical knowledge of ML frameworks like PyTorch, ONNX, or OpenXLA, and how to optimise their execution Experience scaling AI workloads across clusters or custom infrastructure—not just deploying on standard cloud setups More ❯