51 to 75 of 296 TensorFlow Jobs in London

field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control ...

orchestration frameworks, context and memory management, and interoperability protocols such as MCP Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model ...

stakeholder management skills. Advanced Analytics Techniques: Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with ...

/or Azure including managed ML services, scalable inference infrastructure, and vector stores. Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents). Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability ...

/or Azure including managed ML services, scalable inference infrastructure, and vector stores* Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents)* Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit ...

/or Azure including managed ML services, scalable inference infrastructure, and vector storesProgramming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents)Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging ...

experience training, deploying, and maintaining machine learning models in production environments Proficiency in Python and relevant AI/ML libraries (such as scikit-learn, TensorFlow, PyTorch) Experience with MLOps practices and tools for managing the machine learning lifecycle Experience building and deploying Generative AI applications, including familiarity with LLMOps ...

experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/ ...

model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced ...

model packaging and release management, automated validation, monitoring, and lifecycle management Working knowledge of ML/DL frameworks and tooling (e.g. PyTorch/TensorFlow and the Python ML ecosystem) sufficient to collaborate effectively with data scientists and implement inference pipelines Experience working with complex, multi-layered datasets (including imbalanced ...

agents or intelligent systems.Strong proficiency in programming languages such as Python, Java, or C++.In-depth understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and NLP techniques.Experience with agent-based modeling, reinforcement learning, multi-agent systems, or cognitive architectures.Solid understanding of software engineering principles, including design patterns ...

scalability, security, and compliance. Lead technical reviews and provide guidance on complex AI engineering challenges. Technical Expertise: Deep expertise in AI/ML frameworks—TensorFlow, PyTorch, Scikit‐Learn, Transformers—cloud platforms (AWS, Azure, GCP), and modern software engineering practices. Strong background in deep learning, natural language processing, computer vision ...

autonomous decision-making frameworks. Highly proficient in Python programming with hands-on experience using modern AI/ML tooling (such as PyTorch or TensorFlow) and enterprise frameworks (such as LangChain, LlamaIndex, CrewAI, or Haystack). A proven track record of designing RESTful APIs, microservices, and event-driven architectures ...

Required Skills & Experience BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field. Experience coding in Python and associated ML packages (HuggingFace, TensorFlow, PyTorch). Have experience of delivering ML solutions to stakeholders. Demonstrate good understanding of AI/ML algorithms for different data types and tasks ...

fine‐tune those models eg. XGBoost, Deep Neural Networks, Transformers, Markov chains, etc. Experience using specialized machine learning libraries e.g. Fastai, Keras, Tensorflow, pytorch, sci-kit learn, huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. ...

Rust or Java, and their associated security considerations. Coding experience with AI & ML, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn. Familiarity with current and emerging regulations and standards, such as the EU AI Act, the Digital Services ...

with measurable business impact Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles Ability ...

discipline. Publications in top‐tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, ICLR). Familiarity with a deep learning framework (e.g. PyTorch, JAX, TensorFlow, ...) Excellent communication skills to report and present research findings and developments clearly, both orally and in writing. Curious and innovative disposition capable ...

Your Skills & Experience Strong experience deploying machine learning models into production. Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Experience building and maintaining MLOps pipelines and CI/CD workflows. Strong knowledge of AWS, Azure, or GCP. Experience with Docker ...

models, where they provide business value. Требования Strong experience building and deploying machine learning solutions in production environments; Advanced Python skills and experience with TensorFlow, PyTorch, or Scikit-learn; Experience with cloud technologies such as AWS, Azure, or GCP; Strong understanding of MLOps, CI/CD, and machine learning ...

Your Skills & Experience Strong experience deploying machine learning models into production. Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. Experience building and maintaining MLOps pipelines and CI/CD workflows. Strong knowledge of AWS, Azure, or GCP. Experience with Docker ...

Skills & Experience Strong experience building and deploying machine learning solutions in production environments. Advanced Python skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with cloud technologies such as AWS, Azure, or GCP. Strong understanding of MLOps, CI/CD, and machine ...

Experience Strong experience developing and deploying machine learning models in production environments. Excellent Python development skills and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong understanding of MLOps, CI/CD principles ...

scalable, and responsible AI solutions while supporting ongoing innovation. Your Key Skills Strong commercial experience with Python and machine learning frameworks such as PyTorch, TensorFlow, and Hugging Face. Proven expertise developing and deploying computer vision and deep learning solutions in production environments. Experience fine-tuning and optimising pre-trained ...

LLMs, recommender systems, optimisation, or similar)Proven hands-on experience building LLM agents, RAG systems, or orchestrated AI workflows in productionStrong Python (with PyTorch, TensorFlow, or similar frameworks)Experience with agent frameworks (LangChain, LangGraph, AutoGen, or similar)Solid understanding of APIs, backend services, and microservices architecturesExperience working with cloud ...