101 to 125 of 463 PyTorch Jobs in England

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

solutions, including prompt engineering, fine-tuning, and deploying Large Language Models (LLMs). Computer Vision: In-depth knowledge of deep learning frameworks (TensorFlow, PyTorch) and experience with Computer Vision tasks (e.g., CNNs, object detection models like YOLO). NLP: Expert practical experience in NLP techniques, including transformer models, embedding generation ...

compliance Apply ML Ops best practices, including CI/CD pipelines, containerization (Docker/Kubernetes), and monitoring Tech Stack: Python ML libraries: TensorFlow, PyTorch, LangChain Cloud: Google Cloud Platform, Vertex AI, Gemini API CI/CD with Docker/Kubernetes Ideal Candidate Strong background in Machine Learning, Generative ...

science. Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (eg, TensorFlow, PyTorch) and data science libraries (eg, NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets ...

Looking For 5+ years experience in ML/AI development, including production deployment. Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn . Experience working with LLMs, NLP, computer vision, or recommendation systems . Solid understanding of data pipelines, feature engineering, and model evaluation. Experience ...

hands-on AI/ML experience across industries, including some time in a client-facing role Core tech stack: Python/Java, TensorFlow/PyTorch/scikit-learn, cloud AI services (AWS/GCP/Azure), ETL tools, and data visualization. Agentic AI edge – ideally familiar with tools like LangChain ...

hands-on AI/ML experience across industries, including some time in a client-facing role Core tech stack: Python/Java, TensorFlow/PyTorch/scikit-learn, cloud AI services (AWS/GCP/Azure), ETL tools, and data visualization. Agentic AI edge – ideally familiar with tools like LangChain ...

computer vision, audio, graphs, time-series or tabular data Strong Python skills and experience with common libraries (e.g. pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels, PyMC) Understanding of software engineering and ML best practices, including version control, packaging and model deployment Experience training and deploying models using cloud platforms, particularly ...

scalable systems. Essential experience includes: Commercial experience developing and deploying machine learning models in Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise in experiment design, including hypothesis formulation, A/B testing ...

data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics ...

data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient, maintainable queries and manage data pipelines for analytics ...

drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (eg, MLflow), model registry, CI/ ...

drift, bias) and rollback plans. Collaborate with data engineers and AI engineers on interfaces and SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry, CI/ ...