1 to 25 of 893 Google Jobs in London

and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere-on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up 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 ❯

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 ❯

field. Tech Stack LLMs: GPT-4/5, Claude, Gemini, Mistral, LLaMA, Cohere Frameworks: LangChain, LlamaIndex, Haystack Tools: GitHub Copilot, Cursor, PromptLayer, Weights & Biases Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks Infra: Python, Docker, Kubernetes, SQL, PyTorch 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 ❯

CD pipelines. Excellent written and verbal communication skills, with the ability to simplify complex ideas for technical and non-technical audiences. Nice to Have Experience with platforms like Braze, Google Analytics, Adobe Analytics, Contentful, or Sitecore. Experience across technology domains including CMS, CRM, Martech platforms, data pipelines, analytics, and cloud services. Exposure to CDPs (e.g., Bloomreach, Segment, BlueConic, Tealium) and 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 ❯

+ 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 ❯

optimise RESTful APIs with a strong focus on performance, reliability, and security. Model and query data efficiently with MongoDB (or similar NoSQL databases). Deploy and manage services on Google Cloud Platform (GCP) using CI/CD pipelines (GitHub Actions) . Troubleshoot and tune performance across distributed systems. Collaborate in an agile environment , contributing to design reviews, planning sessions, and 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 ❯

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 ❯

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 ❯

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 ❯