1 to 25 of 157 PyTorch Jobs in London

Analysis, Classification, Clustering) Machine learning Model Optimisation Strong proficiency in Python (NumPy, Pandas, Scikit-learn). Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras. Experience in Natural Language Processing (NLP) and/or Computer Vision. Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/ ...

microservices patterns Preferred Qualifications Azure certifications (Azure Solutions Architect, Azure Developer, Azure Data Engineer) Advanced AI/ML knowledge: Experience with ML frameworks (TensorFlow, PyTorch, Hugging Face) Understanding of model training and evaluation Knowledge of NLP techniques beyond basic text processing Experience with multi‐agent systems or advanced RAG patterns ...

extracting value from large, disconnected datasets.Excellent knowledge of Python and data handing libraries (Python3 and specifically Pandas) including at least one ML framework e.g. Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAG.Familiarity with DevOps, Git/Github and CI/CD workflows is required ...

leading ML engineering projects from architecture to deployment, including ownership of production‐grade systems. Deep expertise in ML frameworks and engineering stacks (TensorFlow, PyTorch, JAX, Ray, MLflow, Kubeflow). Proficiency in Python and at least one backend language (e.g., Java, Scala, Go, C++). Strong understanding of cloud ML infrastructure ...

user feedback to refine your technical approach as the problem becomes clearer. Your Skills & Expertise ML Fundamentals: Strong proficiency in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn, with a deep understanding of NLP, deep learning, or reinforcement learning. Agentic AI: Hands‐on experience with modern AI orchestration tools ...

strong software engineering practices Demonstrated expertise in building production‐quality code and data pipelines for ML systems Proficiency in modern AI development frameworks including : PyTorch Jax HuggingFace Transformers LLM APIs (litellm etc) and vLLM for building and deploying large‐scale AI applications Understanding of LLM training methodologies including instruction fine ...

/ML solutions, with a strong focus on Microsoft Azure.Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring.Hands-on experience with Azure data services such ...

Strong communication and stakeholder management.* Advanced Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.* NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models. ...

contribute to our internal library of proprietary tools and frameworks. Technical Profile Expert Programming: Mastery of Python and its ecosystem (Pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow). Experience writing production-ready, modular, and well-tested code. Advanced Modeling: Deep theoretical and practical knowledge of Machine Learning. You should ...

experience building and deploying AI applications in large scale production environments.Experience managing data science teams and coaching team members.Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).Hands-on experience with agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph, ADK).Experience with generative models (transformers, GANs/VAEs; diffusion models ...

experience with various data science and machine learning libraries.Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit-learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others.Experience with cloud-based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI).Knowledge of databases ...

experience with various data science and machine learning libraries. Experience with libraries/frameworks like NumPy, Pandas, SciPy, Scikit‐learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). ...

e.g., Maths, Physics, Data Science, Statistics, Computer Science) Ability to work effectively in a team environment Desired Skills Selenium, BeautifulSoup, Scrapy or similar Tensorflow, PyTorch or Keras Git, Docker, Kubernetes and Azure/AWS/GCloud PostgreSQL, MySQL, ElasticSearch, MongoDB or similar Strong problem-solving and critical thinking skills Excellent ...

analytical solutions. Hands-on experience with cloud platforms (Azure, AWS and/or Snowflake). Expertise in modern machine learning frameworks (scikit-learn, XGBoost, PyTorch, TensorFlow). Demonstrable experience delivering end-to-end ML and GenAI solutions (including RAG, LLMs, embeddings and vector databases). Strong knowledge of MLOps tooling ...

complexity trade-offs, and overfitting/underfitting dynamics Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy) Experience with deep learning frameworks (PyTorch or TensorFlow) Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with ...

responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills and team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage ...

skills. Advanced Analytics Expertise: Proficiency in Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models and large ...

KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science, Engineering, Data Science or similar What We Offer A collaborative ...

complexity trade-offs, and overfitting/underfitting dynamics Strong proficiency in Python and ML ecosystems (scikit-learn, pandas, NumPy) Experience with deep learning frameworks (PyTorch or TensorFlow) Practical knowledge of deep learning architectures (CNNs, RNNs, Transformers) and when to apply them Strong SQL and data manipulation capabilities Experience working with ...

Experience with enterprise AI frameworks (LangChain,LlamaIndex,CrewAI, Haystack, or similar) Strong programming skills in Python and experience with modern AI/ML tooling (PyTorch, TensorFlow, etc.) Experience designing RESTful APIs, microservices architectures, and event‐driven systems Track recordof shipping production AI systems at scale in enterprise environments Strong communicationskills ...

Stay up‐to‐date with emerging AI/ML technologies and frameworks to continuously improve solutions. Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit‐learn). Experience with data preprocessing, feature engineering, and model evaluation. Knowledge of cloud platforms (AWS, Azure, or GCP) for AI/ML deployment. ...

have the following skills and experience: Strong Python and SQL experience, ideally with Databricks Experience with ML and LLM tools (e.g., scikit learn, XGBoost, PyTorch, TensorFlow, RAG, APIs) Comfortable with data engineering basics and MLOps practices Experience working with cloud platforms such as Azure, AWS, or GCP Benefits The successful ...

demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed‐integer, reinforcement learning desirable ...

bias mitigation, with experience in implementing strategies to ensure air and unbiased AI solutions. • Serverless Computing and Distributed Systems • Deep Learning Frameworks (TensorFlow, PyTorch) • Innovation and Emerging Technology Trends • Strategic AI Vision and Roadmapping • Enthusiastic about working in a fast-paced environment using the latest technologies, and passionate about ...

strong software engineering practices. Demonstrated expertise in building production‐quality code and data pipelines for ML systems. Proficiency in modern AI development frameworks, including PyTorch, JAX, HuggingFace Transformers, vLLM, and LLM APIs. Understanding of LLM training methodologies, including instruction fine‐tuning, preference optimization, and reinforcement learning approaches. Strong software engineering ...