101 to 125 of 510 TensorFlow Jobs in England

machine learning or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD pipelines for automating ML workflows. More ❯

tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and More ❯

tool technologies & technical architecture. Deep understanding of industry trends, concepts, opportunities, threats & constraints. Experience & knowledge of GenAI, predictive analytics, or automation workflows in enterprise environments. Familiarity with NLP frameworks (TensorFlow, PyTorch) and LLM fine-tuning techniques. ITIL certification and/or AI/ML certifications (AWS, Google Cloud). Experience with implementing scripted web services in ServiceNow, Java, and More ❯

HBase. Data Integration & ETL: Data Pipelining Tools: Apache NiFi, Apache Kafka, and Apache Flink. ETL Tools: AWS Glue, Azure Data Factory, Talend, and Apache Airflow. AI & Machine Learning: Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras, and MXNet. AI Services: AWS SageMaker, Azure Machine Learning, Google AI Platform. DevOps & Infrastructure as Code: Containerization: Docker and Kubernetes. Infrastructure Automation: Terraform, Ansible, and More ❯

Qualifications PhD in Computer Science, Machine Learning, or related field, focusing on GenAI. Experience developing algorithms for LLMs and diffusion models inference. Programming skills in Python and experience with TensorFlow or PyTorch. Strong problem-solving skills and creative thinking. Excellent communication and teamwork skills. Patents or publications at top-tier conferences or journals. Amazon values diversity and is an More ❯

a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems More ❯

a related field. Experience or coursework in machine learning, deep learning, or AI techniques (e.g., supervised learning, neural networks, NLP). Proficiency in Python and libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face Transformers. Familiarity with data preprocessing, model evaluation, and deploying models in real-world environments. A passion for AI innovation and a desire to build systems More ❯

Domain experience in finance, insurance, or e-commerce is a plus but not required. - Experience deploying models in cloud environments. - Familiarity with machine learning frameworks and libraries such as TensorFlow, CatBoost, XGBoost, Scikit-learn, and Pandas. - Experience developing and integrating APIs. - Proficiency in SQL. - Background in software engineering and exposure to DevOps/MLOps practices. - Working knowledge of CI More ❯

Domain experience in finance, insurance, or e-commerce is a plus but not required. - Experience deploying models in cloud environments. - Familiarity with machine learning frameworks and libraries such as TensorFlow, CatBoost, XGBoost, Scikit-learn, and Pandas. - Experience developing and integrating APIs. - Proficiency in SQL. - Background in software engineering and exposure to DevOps/MLOps practices. - Working knowledge of CI More ❯

Data Science and across Jazz Research and Development. Required Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

AI, Machine Learning, or a related field. Experience: Minimum of 3+ years of hands-on experience in AI/ML development. Programming Skills: Proficiency in Python and frameworks like TensorFlow, PyTorch, or Keras. Cloud Expertise: Demonstrated experience with cloud-based AI platforms such as AWS Bedrock and Azure OpenAI. Vector Database Knowledge: Familiarity with vector databases and techniques for More ❯

a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow)SQL (Redshift, Snowflake or similar)AWS SageMaker Azure ML migration, with Docker, Git, Terraform, Airflow/ADFOptional extras: Spark, Databricks, Kubernetes. What you'll bring 3-5+ years More ❯

lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

lead end-to-end AI projects—from data exploration and model development to deployment and evaluation. Expert-level proficiency in Python and ML libraries such as Scikit-learn, XGBoost, TensorFlow, PyTorch, and/or Hugging Face. Experience working with large-scale datasets, cloud platforms (AWS/GCP), and ML Ops tools is a plus. Excellent communication skills and the More ❯

Strong understanding of data structures, data modeling, and software architecture Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience Model Productionisation: Experience in taking Machine Learning models from development to production CI/CD and MLOps Experience : Familiarity with Continuous Integration and More ❯

Strong understanding of data structures, data modeling, and software architecture Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience Model Productionisation: Experience in taking Machine Learning models from development to production CI/CD and MLOps Experience : Familiarity with Continuous Integration and More ❯

as engineering, mathematics, physics, or statistics. Experience in data science within financial services, insurance, or e-commerce (not essential). Familiarity with cloud-based deployment. Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, or Pandas. Experience with API development. Proficiency in SQL. Background in software engineering or DevOps/MLOps. Understanding of CI/CD pipelines. Why Join Us More ❯

as engineering, mathematics, physics, or statistics. Experience in data science within financial services, insurance, or e-commerce (not essential). Familiarity with cloud-based deployment. Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, or Pandas. Experience with API development. Proficiency in SQL. Background in software engineering or DevOps/MLOps. Understanding of CI/CD pipelines. Why Join Us More ❯

fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of AI; Excellent communication skills More ❯

such as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. * Strong More ❯

such as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and scikit-learn is desirable. * Experience in implementing secure coding practices, DevOps, CI/CD pipelines and familiarity with secure software development life cycle (SDLC) methodologies. * Strong More ❯

to sequential (e.g. sensor time-series) data and decision-making post PhD. Experience in software development for proof of concept in Python. Experience with machine and deep learning frameworks: TensorFlow, Pytorch, scikit-learn, etc. Of particular interest are candidates with experience in one or more of the following domains: RF communications and CEMA Electronic or Electromagnetic Warfare (EW) Tracking More ❯

high-performance computing, neural deep learning methods and/or machine learning PREFERRED QUALIFICATIONS Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet - Prior experience in training and fine-tuning of Large Language Models (LLMs) - Knowledge of AWS platform and tools Our inclusive culture empowers Amazonians to deliver the More ❯

data science, engineering, or computer science. Experience communicating across technical and non-technical audiences. Experience in using Python and hands-on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet. Fluency in written and spoken English. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯

infrastructure Excellent understanding of modern programming languages such as Ruby, Python, Perl, and Java developing ML models and automation scripts. Experience with popular ML frameworks and libraries, such as TensorFlow, PyTorch, Scikit-learn, and Keras. Understanding of algorithms and techniques for supervised and unsupervised learning. Experience with tools for model monitoring, logging, and performance evaluation, such as MLflow or More ❯