12 of 12 PyTorch Jobs in West End of London

lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering: Architecture and delivery of scalable cloud data and AI platforms ...

Broad knowledge of MLOps tooling - for versioning, reproducibility, observability etc. Experience monitoring, maintaining, enhancing existing models over an extended time period Extensive experience with pytorch and related data science python libraries (e.g. pandas) Experience of containerising applications or models for deployment (Docker) Experience with one of the major public cloud ...

based chatbots and agents Proven ability to build machine learning models and pipelines using Python and common ML and DL libraries (e.g. Pytorch, Tensorflow) from early conceptualisation to full deployment in scalable production environments Ability to design, deploy and maintain ML solutions on modern frameworks to meet functional business requirements ...

covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through comprehensive testing. Extensive experience with generative ...

experience, or an MS with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

Strong commercial acumen with a history of influencing the commercial success of AI products and solutions. DESIRABLE: Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with ...

Vision Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate ...

accurately estimate results and know when to deliver actionable insights. Your technical toolkit includes experience with Bayesian approaches to machine learning, neural networks (ideally PyTorch), and a solid grasp of causal inference concepts, including their application with machine learning models. Furthermore, you are adept at navigating a diverse range ...

familiarity with good software engineering practices Excellent written and verbal communication Strong experience developing, testing machine learning solutions using frameworks such as TensorFlow, PyTorch or scikit-learn Solid intuitive grasp of fundamental concepts from probability, statistics, linear algebra and calculus Collaborative, humble and enthusiastic attitude Preferred qualifications, capabilities and skills ...

need: Strong software development skills with proficiency in multiple programming languages (Python, JavaScript/TypeScript, etc.) Hands-on experience with machine learning frameworks (PyTorch, TensorFlow, or similar) Extensive daily use of generative AI tools for coding (Claude, Cursor, GitHub Copilot, or equivalent) Proven ability to deliver working prototypes quickly with ...

expect from you: Expertise in transformer architectures (e.g., BERT, GPT, T5, Time Series Transformers). Strong hands-on experience with modern deep learning frameworks (PyTorch preferred). Solid grounding in machine learning fundamentals and statistical modelling. Familiarity with distributed training and GPU acceleration. A track record of delivering impactful models ...