101 to 125 of 235 TensorFlow Jobs in the UK

/ML applications or validating machine learning modelsExperience with data validation tooling (e.g., Great Expectations) or labeling workflowsFamiliarity with ML frameworks (e.g., PyTorch, TensorFlow)Experience with data pipelines and orchestration tools (e.g., Airflow, Metaflow)Knowledge of MLOps practices (e.g., model monitoring, drift detection, deployment validation)Knowledge of ML evaluation ...

ICLR) with specific focus on agent systems, tool use, or multi-agent coordination Familiarity with one or more deep learning frameworks (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 of devising ...

data pipelines and working with both structured and unstructured data Knowledge of AI, machine learning or generative AI technologies Exposure to frameworks such as TensorFlow, PyTorch, LangChain or similar Experience working with cloud based data platforms and modern data architectures Strong analytical and problem-solving skills Excellent communication skills ...

experience with MLOps and AIOps infrastructure and tooling.Proficient in problem-solving and analytical reasoning.Exceptional communication and collaboration skills.Experience with ML frameworks such as TensorFlow, PyTorch, TensorRT, or ONNX.Experience with Large Language Models, including RAG and fine-tuning techniques.Familiarity with compute infrastructure necessary to support operating AI and ML technology.For ...

stakeholders.Who we're looking for:You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch.You possess strong Python skills and solid experience in software engineering best practices.You bring hands-on experience with cloud platforms and infrastructure (e.g. ...

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 ...

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 ...

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 ...

3+ years in AI/ML security or data security.Proven experience designing secure architectures for AI/ML systems.Strong knowledge of:Machine learning frameworks (TensorFlow, PyTorch, etc.)Cloud platforms (Azure, AWS, GCP) and AI servicesIdentity & access management, encryption, and network securityExperience in threat modeling and risk assessment methodologies.Bachelor ...

integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years of experience in designing and developing scalable web applications using modern front-end frameworks such as React/TypeScript. Experience ...

integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years of experience in designing and developing scalable web applications using modern front-end frameworks such as React/TypeScript. Experience ...

reasonable industry experience, or an MS with significant industry or research experience in the fieldExtensive 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 ...

ownership of key lifecycle stages: data collection, modeling, evaluation, deployment, and monitoring.· Proficiency in Python and modern ML and agentic frameworks such as PyTorch, TensorFlow, or LangChain, with experience packaging models into APIs or integrating them into applications.· A solid understanding of LLMs for natural language processing applications, including ...

experience with Azure Machine Learning and MLOps frameworks. Experience with Azure DevOps, CI/CD pipelines, and automation. Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn. Experience with Docker, Azure SQL Database, Storage Accounts, Blob Storage, and SQL/NoSQL technologies. Experience monitoring and supporting production ...

modern software engineering practices Machine Learning/Deep Learning MLOps and production ML systems Cloud platforms and scalable infrastructure ML frameworks such as PyTorch, TensorFlow or equivalent LLMs/Generative AI is highly desirable CI/CD, Docker, Kubernetes or similar technologies Designing and operating production-scale ML platforms ...

database and Storage Account blob is must Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with cloud platforms Azure machine learning services. Experience with monitoring tools and practices for model performance in production. practical ability ...

SQLExperience building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data architecturesStrong analytical and problem-solving skillsExcellent communication skills with the ability ...

software engineering best practices. Experience across the machine learning lifecycle, including taking models into production. Hands-on experience with frameworks such as Scikit-learn, TensorFlow or PyTorch. Experience working with cloud platforms such as AWS, Azure or GCP. Knowledge of cloud architecture, infrastructure and security. Practical experience with Docker ...

Writing maintainable and reusable code Hands-on experience developing, tuning, and deploying machine learning models using frameworks and libraries such as: Scikit-learn XGBoost TensorFlow PyTorch Equivalent machine learning frameworks Strong analytical and problem-solving capabilities with a scientific and data-driven mindset. Ability to translate complex technical concepts ...

cloud environment. PREFERRED QUALIFICATION Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++ ...

experience (AWS/GCP) and containerization (Docker, Kubernetes)Experience with distributed data processing and ETL pipelines (Airflow, Spark)Familiarity with ML frameworks such as TensorFlow or PyTorchAbout us:We are a multinational company with offices in the US (New York and Los Angeles), Germany (Berlin), and the UK (London ...

problems end-to-end, from data exploration and feature engineering through to model training, evaluation, and production deploymentApply modern ML frameworks (e.g., PyTorch or TensorFlow) to design, train, and optimise models in production environmentsContribute to experimentation frameworks, including A/B testing and offline evaluation, to iterate on model ...

accuracy trade‐offs in production systemsSolid grounding in ML/DL concepts, with hands‐on experience applying frameworks such as PyTorch and/or TensorFlow, including embeddings and model fine‐tuning where appropriateExperience deploying and operating production Gen AI systems, leveraging Docker, cloud‐native architecture, production APIs, and monitoring ...

services (e.g., Vertex AI) or enterprise integration patterns for vendor tooling (auth/audit/data boundaries).Experience with modern ML frameworks (PyTorch/TensorFlow) when useful for evaluation or prototyping, but not required for the core role.Deep familiarity with game development pipelines and production constraints.Familiarity with ethical ...

preferences.Advanced Representation Learning: Deep understanding of embedding generation, deep semantic retrieval, and multi-modal representation learning.Technical Stack: Mastery of Python and deep learning frameworks (TensorFlow, PyTorch) alongside hands-on experience with distributed computing (Spark, Ray) and cloud infrastructure (AWS/GCP).Desired:Graph Neural Networks (GNNs): Strong experience applying ...