1 to 25 of 640 Google Jobs in the South East

AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends More ❯

AD), and networking. Preferred skills, experience, and qualities needed Education: Bachelor’s or Advanced Degree in Engineering, Computer Science, or related field. Certifications: PMP, Digital Leader (Azure, AWS, or Google Cloud). Technical Depth: Expertise in at least two areas: Salesforce Sales Cloud, Cloud Networking, Security, AI, Storage, Private/Hybrid/Public Cloud, Data Protection, Disaster Recovery. Industry Trends 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 ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and 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 ❯

with ease. Solid experience in Python development for data workflows Experience building and maintaining ETL pipelines, ideally with Apache Airflow or a similar orchestration tool Hands-on experience with Google Cloud Platform (BigQuery, GCS, etc.) or another major cloud provider Good understanding of data modelling principles and the ability to translate business needs into technical solutions Strong collaboration and communication More ❯

across the Tax & Legal business using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for the business and our clients More ❯

across the Tax & Legal business using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for the business and our clients More ❯

across the Tax & Legal business using modern and best in class engineering methodologies. We drive this transformation through the adoption of Cloud based technologies and have strategic relationships with Google, Microsoft among others. We have a technology agnostic view and select the right tool/language/cloud provider to achieve the best outcome for the business and our clients More ❯

containers on Kubernetes. Experience designing distributed microservice based architectures. Web development experience using technologies such as JavaScript, TypeScript, and React. Experience using cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. What can McLaren offer? We constantly strive to be better tomorrow than we are today. Our ambition is to be the most pioneering and exhilarating racing team in the More ❯

and Python in a professional setting. Solid understanding of databases, data warehousing, and visualisation principles. Ability to explain complex technical topics to non-technical audiences. Experience with Power BI, Google Cloud, or data science methods (ML, NLP, Generative AI) desirable. Financial services experience advantageous. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all More ❯

Exposure to the insurance industry.* Experience with traditional data science techniques in Python.* Experience building solutions using generative AI (particularly Gemini).* Experience working with Azure and/or Google Cloud Platform (GCP).* Ability to understand and interpret technical design documents.* Strong communication skills, with the ability to work effectively with diverse stakeholders across disciplines.* Experience in Agile methodologies. More ❯

in data tools and languages such as Python, SQL, Power BI, or similar platforms for data manipulation and visualization. Familiarity with cloud-based data environments (e.g. Azure, AWS, or Google Cloud) and version control systems like Git. Experience working with BIM, GIS, IoT, or other digital engineering technologies is highly desirable. Solid understanding of data governance, quality assurance, and security More ❯

with infrequent travel) Employment: Contract Duration : (3 months rolling contract) GENERAL ROLE OVERVIEW: Strategic guidance for secure adoption and use of SaaS & PaaS platforms and services in the Microsoft, Google & Atlassian ecosystem, MongoDB Atlas and other first-party platforms developed by M&S. The services include databases, API gateways, code repositories, integration services, and others· Technical consulting to identify misconfigurations More ❯

with infrequent travel) Employment: Contract Duration : (3 months rolling contract) GENERAL ROLE OVERVIEW: Strategic guidance for secure adoption and use of SaaS & PaaS platforms and services in the Microsoft, Google & Atlassian ecosystem, MongoDB Atlas and other first-party platforms developed by M&S. The services include databases, API gateways, code repositories, integration services, and others· Technical consulting to identify misconfigurations More ❯