301 to 325 of 523 TensorFlow Jobs in the UK

concepts and algorithms Understanding of statistics and data analysis Programming experience in Python (preferred) or similar languages Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Knowledge of data structures, algorithms, and software development practices Experience with version control (e.g., Git) and collaborative development Experience in using ...

with experience building, training, and deploying ML models. Strong technical capability in key data science and AI languages and frameworks such as R, PyTorch, TensorFlow, Java, LangGraph and modern model development toolkits Knowledge of Apprenticeships and work-based learning, or knowledge of Higher Education. Understanding of equity and diversity ...

pull-request workflow. Document what you build and raise the engineering standard around you. Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training ...

marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic ...

transport, marketplaces, or similarly complex digital platformsOur technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic and BraintrustMore information: Enjoy ...

machine learning techniques to real‐world business problems, including using models such as XGBoost and deep learning approaches using frameworks such as PyTorch or TensorFlow, taking solutions from experimentation through to production deployment and operation. Strong knowledge of model governance, explainability, traceability, auditability, SHAP, Model Cards, and model documentation ...

from data exploration and feature engineering through model training, evaluation, production deployment and iteration. Use modern ML frameworks such as PyTorch or TensorFlow to design, train and optimise models for production environments. Contribute to experimentation, including A/B testing and offline evaluation, using results to continuously improve model ...

Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ADK), and Model Context Protocol tooling (RustMCP) Strong written and verbal communication skills to document your work effectively and present ...

contributions to academic publications Required Expertise/Skills: Proficiency in programming languages such as Python Experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) Strong understanding of image analysis and computer vision techniques Data preprocessing, model development, and evaluation skills Analytical thinking and problem-solving ability Scientific ...

delivering production-grade solutions. Required Expertise/Skills Strong proficiency in programming languages such as Python and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or similar). Expertise in data engineering, including building and managing data pipelines and working with large datasets. Solid understanding of machine learning algorithms ...

validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug and improve model performance systematically Also ...

areas such as statistical modelling, supervised and unsupervised learning, deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected ...

validation, overfitting and bias/variance trade-offs, and data quality and feature engineering • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow • Experience building and maintaining ML pipelines in production • Familiarity with GPU usage and optimisation • The ability to debug and improve model performance systematically Also ...

Senior/Principal Data Scientist with ability to guide and coach the team Excellent Python coding practice, including ML libraries such as HuggingFace, TensorFlow and PyTorch Experience building robust ML pipelines with MLOps tools for model training, monitoring and deployment Experience with version control and environment management (e.g. venvs ...

record of publishing high-impact research papers in top AI conferences or journals. Strong programming skills in Python and deep learning frameworks such as TensorFlow or PyTorch. Experience with training and fine-tuning large-scale neural network models on extensive datasets. Demonstrated ability to innovate and solve complex problems ...

Computer Science, AI, ML, or a related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python ...

deep learning, and AI model development Proficiencyin programming languages such as Python, R, or C-Sharp. Experience with AI frameworks and libraries such as TensorFlow,PyTorch, or scikit-learn. Experience with cloud platforms (AWS, GCP, Azure), experience withAzurea plus. ExperienceleveragingAI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex ...

current with advancements in LLMs, VLMs, and related fields Requirements: Technical skills: Strong programming skills (Python, Git) Expertise in deep learning frameworks (PyTorch, JAX, TensorFlow) Experience with large-scale distributed training of LLMs and VLMs Hands‐on experience with LLM training, alignment, and reinforcement learning Knowledge of multimodal architectures ...

Prime Finance, securities lending, or inventory management. Familiarity with revenue and yield management strategies. Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of optimization libraries and techniques (e.g., Gurobi, CPLEX, linear/nonlinear programming). Track record of publishing research or presenting ...

plus. You have evidence of hands-on experience in AI and Machine Learning. You are a solid Python developer with strong experience in PyTorch, TensorFlow, or similar deep learning frameworks. You have experience working with non-standard imagery data. Writing custom data loaders and curating custom datasets. You write ...

experience working with large-scale relational and cloud-based databases (e.g., Snowflake,BigQuery). Experience with machine learning frameworks (e.g., scikit-learn,XGBoost, TensorFlow,PyTorch). Ability to work autonomouslyand comfortable with ambiguity. Experience in the healthcare field, preferably in generic pharmaceuticals (pricing,sourcingor distribution) preferred, though notrequired. Education ...

code Ability to manipulate large financial data sets for empirical research and handle complex Experience with machine learning software libraries such as scikit‐learn, TensorFlow or PyTorch Experience with natural language processing technology, including LLMs and prompt engineering is a plus Strong quantitative skills with demonstrated understanding of mathematics ...

regulated environment. Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. Strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine‐tuning large language models (LLMs ...

models on DatabricksFamiliarity in Cloud-based application development (we use AWS & Azure)Familiarity with one or more ML frameworks and technologies: scikit-learn, xgboost, TensorFlow, PyTorch, Spark, SageMaker, Vertex AI, Kubeflow, Seldon, TritonStrong communication skills, able to express ideas clearly and collaborate across teamsAdditional InformationBring ...

following technical skills: Industry experience working on Agile projects across the full software life cycle. Proficiency in machine learning frameworks such as PyTorch and TensorFlow, as well as tools for model integration. A strong foundation in AI/ML, including transformer architectures, tokenisation, embeddings, and fine-tuning large language ...