26 to 50 of 239 Google Jobs in the City of London

Basic qualifications: Demonstrated experience of Python backend development (e.g. using FastAPI) Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure is essential Strong skills in Python Unit testing experience (e.g. pytest) Knowledge of agile practices and able to perform in More ❯

international vendors and teams. Strong analytical skills with ability to use data to inform decisions and strategy development. Degree in marketing or related field. Desirable Good working knowledge of Google AdWords, GA4, Salesforce, Pardot, Canva, Asana, Adobe, Creative Suite. Knowledge of data analysis and visualization tools such as Tableau. Previous people management experience. Your Personal Skills and Attributes High drive More ❯

Terraform) for pipeline or tooling integration. Experience applying advanced mathematics, geometry, optimisation, or algorithm design to imaging problems. Experience with cloud infrastructure solutions such as AWS, Microsoft Azure, and Google Cloud Comfortable learning and extending proprietary libraries covering WebGL rendering, measurements, deformation, localisation, and related imaging toolkits. Ways of Working Operate within Motilent’s QMS, maintaining traceability and documentation as More ❯

cloud native systems with performance and security in mind - Develop with TypeScript, React/Next.js, Node.js and Python - Manage SQL and NoSQL databases (PostgreSQL, MongoDB, Redis, etc.) - Deploy to Google Cloud (GCP) using Docker, Kubernetes and CI/CD pipelines - Work closely with designers, product leads and fellow engineers What You’ll Bring - Strong full stack experience with TypeScript and More ❯

or advisory, preferably in private equity, financial services, or consulting. Strong knowledge of financial services data, regulatory requirements, and operational challenges. Hands-on expertise with cloud platforms (AWS, Azure, Google Cloud) and scalable, secure data infrastructures. Skilled in analytics, problem-solving, and applying machine learning (TensorFlow, PyTorch, Scikit-learn) to business use cases. Excellent communication and stakeholder management, comfortable engaging More ❯

no flexibility) We’re working with a major UK retail group that’s rapidly expanding its brand portfolio and investing heavily in digital transformation. They’ve recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function. As part of this growth, they’re hiring a Senior Digital Product Analyst to join their Product Analytics More ❯

will own the commercial data strategy and oversee a growing team of engineers and analysts. You’ll be responsible for leading the development of a centralised data platform in Google Cloud Platform, integrating data across ticketing, merchandise, digital, and hospitality channels to create a single source of truth. You’ll partner with senior stakeholders across marketing, finance, and operations to More ❯

Product Adoption Define and track key performance indicators (KPIs) for AI enabled products, including accuracy, fairness, and user satisfaction Essential Experience: Relevant professional certification or equivalent experience (Microsoft, ITIL, Google analytics, PowerBI, etc) Experience in a Product analyst role with face-to-face support. Experience working with visualisation Software PRINCE2 Foundation or AGILE certification (desirable) Familiarity with Analytics tools AI More ❯

Apps , Terraform ). Strong knowledge of application deployment for Windows OS and macOS . Experience with packaging solutions ( Chocolatey , Home Brew , Juriba AppR ). Proficiency in cloud platforms ( Azure , Google Cloud ). Skilled in scripting languages ( Python , Bash , PowerShell ). Familiarity with version control systems (Git). Experience with automated testing tools and frameworks. Knowledge of MST file creation and More ❯

in Python (or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from all suitably More ❯

Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework). Integrate AI services and foundation models from providers such as Azure AI , Amazon Bedrock , and Google Vertex AI . Work with vector databases and retrieval mechanisms to enhance accuracy and context. Collaborate with data, design, and engineering teams to improve model reasoning and user experience. Skills More ❯

Platform | London (On-site 5 days) *Can offer sponsorship and relocation for the right person* I’m partnered with an AI company founded by serial entrepreneurs and ex-Lyft, Google, and Zoox engineers, a team with serious technical pedigree across robotics, computer vision, and large-scale ML systems. They’ve built one of the most advanced AI-driven video intelligence More ❯

with FS clients. Deep understanding of financial services data ecosystems, including regulatory, operational, and technical aspects. Hands-on experience designing and implementing cloud-based data architectures (AWS, Azure, or Google Cloud). Strong analytical mindset with the ability to translate complex data insights into clear business impact. Working knowledge of machine learning and advanced analytics (e.g., TensorFlow, PyTorch, Scikit-learn More ❯

commercial and finance teams to deliver strategic insight and recommendations Lead on integration of new BI platforms and migration from legacy tools Support data initiatives around Salesforce, NetSuite, and Google Analytics Contribute to forecasting, budgeting, and strategic planning cycles Champion a data-driven culture and train teams on self-serve analytics Your Skills and Experience 3–5 years’ experience in More ❯

skills and the ability to think algorithmically. Experience with cloud message APIs and usage of push notifications. Knowledge of CI/CD pipelines, code signing, and deployment (App Store, Google Play). Understanding of secure coding practices. Excellent written and verbal communication skills For more information, contact Katie at Matched Group. Full Stack Developer/Full Stack Engineer/Senior More ❯

closely with cross-functional teams to fortify our defences against cyber threats. Responsibilities 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 in house. The services include databases, API gateways, code repositories, integration services and others Technical consulting to identify misconfigurations and 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 ❯

digital media for all major channels (Display, Search, Social) Clear understanding of the marketing data ecosystem and confidence in working within digital and traditional channel platforms. (CM360, Various DSPs, Google Ads, SA360, Meta, TikTok, Snapchat, Reddit, etc.) Versed in commonly used technologies including data platforms using Snowflake, Adverity, Tableau, and SQL Exceptionally self-motivated and directed Experience advocating and driving More ❯

following. Experience building and maintaining production-grade data pipelines (e.g. Airflow, Dagster) or integrating data from APIs, web scraping, or third-party providers. Familiarity with cloud environments such as Google Cloud or AWS, and deploying data science workflows at scale Strong grasp of statistical methods and core machine learning algorithms , with practical experience using libraries such as scikit-learn, statsmodels More ❯

re at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: As a Research Engineer you will join a team of 40+ Researchers More ❯

and performant front-end applications using ReactJS, focusing on UX/UI best practices. Integration & Automation: Architect and maintain integrations with external APIs such as AWS, Stripe, Zendesk, Twilio, Google Analytics, Google Ads, HMRC, etc... Code Quality & Reviews: Enforce code quality through rigorous reviews, automated testing, and CI/CD processes. Project Management: Collaborate with cross-functional teams to gather More ❯

on. You will be: Proven within Power BI, Power Apps, Power Automate. Well versed in data visualisation and BI best practice. Expert in SQL. Experience within Databricks, Snowflake, or Google BigQuery. Proven record of managing automation and workflow tools and embedding them in operational processes. Experience leading teams. Experience of developing internal key stakeholder relationships. On offer a salary of More ❯

into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package: Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning More ❯

full-stack software development experience • Strong coding experience in either Java, Golang (Go), Python or Scala – multiple would be even better! • Experience with cloud platforms e.g. AWS, Azure, GCP - Google Cloud • Experience with data warehouses e.g. BigQuery, Redshift, Snowflake • Ability to work collaboratively • Open to new AI tools and technologies • Could come from roles like Senior Backend Engineer or Senior More ❯

JavaScript (ES6+). Experience with TypeScript and modern development tools and practices. Experience of Test Driven or Behaviour Driven Development. Knowledge of Cloud development and serverless architectures (AWS, Azure, Google Cloud). Familiarity with CI/CD pipelines and DevOps practices. If you’re ready to take the next step in your career and thrive in a fast-paced, innovative More ❯