18 of 18 PyTorch Jobs in Woking

clients, including RFI/RFP processes, bids, and presentations. Familiarity with data science platforms (e.g., Databricks, Dataiku, AzureML, SageMaker) and frameworks (e.g., Keras, TensorFlow, PyTorch, scikit-learn). Experience deploying solutions to Cloud platforms (AWS, Azure, Google Cloud) and using Cloud provisioning tools like Terraform. Proven ability to deploy technologies More ❯

Looking For: 2+ years of experience building and deploying machine learning models Strong programming skills in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Experience with model evaluation, tuning, and productionisation Exposure to cloud platforms (e.g., Azure, AWS, or GCP) and containerisation tools (e.g., Docker) A collaborative mindset, strong More ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

HBM) HW-SW co-design Deep knowledge of VPU/NPU/GPU/CPU/TPU architecture Experience with ML frameworks - TensorFlow/PyTorch/Python or similar Knowledge of DSP algorithms - FIR/IIR filters or FFT Focus on low-power, performance, and optimization Applicants must have UK 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 ❯

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 ❯

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 ❯

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 ❯

and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to … NLU), or equivalent industry experience. Deep expertise in voice conversion, generative models, deep learning, or statistical modeling. Strong hands-on experience with ML frameworks (PyTorch, TensorFlow, Keras). Proficiency in Python and C/C++. Experience with scalable data tools (e.g., PySpark, Kubernetes, Databricks, Apache Arrow). Proven ability to More ❯