101 to 125 of 275 TensorFlow Jobs in London

skills and attention to detail Strong communication skills and ability to work in a collaborative environment Bonus Skills: Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn) Knowledge of cloud platforms (AWS, GCP, Azure) Familiarity with containerisation (Docker) Experience with CI/CD pipelines Understanding of the built More ❯

skills and attention to detail Strong communication skills and ability to work in a collaborative environment Bonus Skills: Experience with AI/ML libraries (TensorFlow, PyTorch, scikit-learn) Knowledge of cloud platforms (AWS, GCP, Azure) Familiarity with containerisation (Docker) Experience with CI/CD pipelines Understanding of the built More ❯

language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - PhD Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on More ❯

is highly desirable. Experience working with GPUs: Hands-on experience in configuring, managing, and optimising GPU resources for computational tasks, including familiarity with CUDA, TensorFlow, or similar frameworks, is a strong advantage. Deep understanding of networking, protocols and network-security concepts. Good familiarity with UNIX-like operating-systems and More ❯

financial analysis, modelling, and statistics, with experience extracting insights from heterogeneous multi-dimensional datasets. Ability to apply machine learning techniques (e.g., scikit-learn, PyTorch, TensorFlow) and present complex data visually using Matplotlib, seaborn, or Streamlit. Fluent in Python, with experience working with data processing libraries such as Pandas. Strong More ❯

Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience with modern ML frameworks (e.g., JAX, Pytorch or TensorFlow). Experience with launching applied Machine Learning/Natural Language Processing (ML/NLP) projects. About the Job Google's software engineers develop the More ❯

Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. More ❯

Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. More ❯

related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

related field 5+ years of experience in AI development Strong understanding of AI principles, machine learning algorithms, and natural language processing Experience with Python, TensorFlow, and PyTorch Excellent communication and teamwork skills Fluent in English More ❯

For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools More ❯

For Strong understanding of AI/ML fundamentals, including neural networks and deep learning architectures. Proficiency in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Experience deploying machine learning models in production environments. Familiarity with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization tools More ❯

machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. More ❯

regression analysis, classification, clustering, and other relevant techniques. Programming skills in Python and R, with experience in data science libraries (eg, scikit-learn, pandas, TensorFlow) for data manipulation, analysis, and model development. Experience with data visualisation tools (eg, Tableau, Power BI) to communicate data insights effectively. Strong understanding of More ❯

with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Open-source contributions or publications demonstrating expertise in machine learning for scientific applications. Hands-on experience with best software development practices in More ❯

BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying tech to solve healthcare More ❯

BEng in Comp Sci, Biomedical or another relevant discipline Strong experience with software or algorithm development. Strong Python skills Experience with deep learning frameworks (TensorFlow/PyTorch.) Familiarity with version control (e.g., Git). Experience with Docker or other container languages A passion for applying tech to solve healthcare More ❯

with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures based experience is an absolute must. Excellent More ❯

with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough, Python, Physics and Protein dynamics/structures based experience is an absolute must. Up More ❯

with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough,Python, PhysicsandProtein dynamics/structuresbased experience is an absolute must. Excellent basic + bonus More ❯

with tools like Apache Spark or Hadoop. Proficiency with cloud platforms (AWS, GCP, Azure). Familiarity with major machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). *NGS and RNA experience is not strong enough,Python, PhysicsandProtein dynamics/structuresbased experience is an absolute must. Excellent basic + bonus More ❯

machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an equal opportunities employer. We believe passionately that More ❯

AI and hands on experience in prompt engineering, deploying and hosting Large Foundational Models Hands on experience building models with deep learning frameworks like Tensorflow, PyTorch, or MXNet Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the More ❯

role, ideally in a tech-led or data-heavy environment Strong technical skills: SQL, Python (or R), with exposure to modern ML frameworks (e.g., TensorFlow, Scikit-learn) Experience working with large-scale datasets and complex data models Comfortable working cross-functionally with data science, engineering and business stakeholders Excellent More ❯

role, ideally in a tech-led or data-heavy environment Strong technical skills: SQL, Python (or R), with exposure to modern ML frameworks (e.g., TensorFlow, Scikit-learn) Experience working with large-scale datasets and complex data models Comfortable working cross-functionally with data science, engineering and business stakeholders Excellent More ❯