1 to 25 of 984 Google Jobs in the South East

of data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product More ❯

of data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product More ❯

of data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product More ❯

of data models, data mining, analytics, and segmentation techniques . Experience with ETL pipelines and data transformation tools. Desirable/Nice to Have: Hands-on experience using Azure OpenAI , Google Colab , or other GenAI platforms. Familiarity with Microsoft Azure SQL Server , Data Warehousing , or tools such as Talend . Knowledge of MLOps and CI/CD processes in AI product More ❯

GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity More ❯

GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity More ❯

GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity More ❯

GDPR, CCPA). Expertise in data analytics tools and technologies, such as SQL, Python, R, Tableau, or similar. Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud). Excellent analytical and problem-solving skills, with a strong business acumen. Exceptional communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels. Familiarity More ❯

data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯

data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯

data science platforms such as Databricks , Dataiku , AzureML , or SageMaker , and machine learning frameworks such as TensorFlow , Keras , PyTorch , and scikit-learn . Expertise in cloud platforms ( AWS , Azure , Google Cloud ) and experience deploying solutions using cloud provisioning tools such as Terraform . Strong background in technology deployment, including use of Docker , Kubernetes , CI/CD platforms ( Jenkins , Tekton , ArgoCD More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

power, renewables, and related derivatives) Risk - Modelling & understanding of risk & risk management Commodity Modelling - Energy (power, gas, environmental products) and meteorology Data engineering skills using Azure/AWS/Google cloud native tools Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals Front end application development Active in various AI communities relevant to the newest technology More ❯

power, renewables, and related derivatives) Risk - Modelling & understanding of risk & risk management Commodity Modelling - Energy (power, gas, environmental products) and meteorology Data engineering skills using Azure/AWS/Google cloud native tools Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals Front end application development Active in various AI communities relevant to the newest technology More ❯

power, renewables, and related derivatives) Risk - Modelling & understanding of risk & risk management Commodity Modelling - Energy (power, gas, environmental products) and meteorology Data engineering skills using Azure/AWS/Google cloud native tools Good experience in Bash\Powershell Scripting and Linux Operating system and networking fundamentals Front end application development Active in various AI communities relevant to the newest technology More ❯

Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the More ❯

Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯

+ Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. In More ❯