1 to 25 of 94 Google Jobs in the City of London

skills required Digital engagement tools (menti/Miro/Whiteboarding etc) Degree or higher in Computer Science, Engineering, Maths, Data Science or a related field (desirable) Relevant certifications (e.g., Google Professional ML Engineer, Microsoft AI Engineer, AWS Machine Learning Specialty) are a bonus Core competencies Active Listening - The ability to listen attentively and empathetically to learners Communication skills - Effective verbal More ❯

modern frontend frameworks. DevOps: Familiarity with CI/CD tools such as GitHub , Jenkins , Harness , and containerization using Docker and Kubernetes . Cloud Platforms: Experience with cloud environments, preferably Google Cloud Platform (GCP) . Automation & Testing: Hands-on experience with automated testing frameworks like Jest , Cypress , and Pact . Strong understanding of software architecture principles including microservices, service-oriented architecture More ❯

GCP or AWS). Experience with modern data warehouses. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A More ❯

dynamic environment and manage multiple parallel work streams. Technical Aptitude: Sufficient technical understanding to liaise effectively with engineering teams. Desired Attributes: Good knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) Working knowledge of Web application APIs, Database (RDBMS, NoSQL), Webservices (REST, SOAP), Microservices, Middleware components like IBM MQ, RabbitMQ, Streaming services like Kafka, Containers (Kubernetes, OpenShift) Positive attitude and More ❯

data engineers, and product teams, you'll build scalable solutions that drive measurable business outcomes for some of the world's most recognised brands. Our infrastructure is powered by Google Cloud Platform (GCP), and we pride ourselves on applying cutting-edge techniques to real-world marketing and advertising challenges. Key Responsibilities: Design, build, and deploy scalable machine learning models for More ❯

data pipelines and data science techniques, understanding complex systems. Extensive knowledge of ETL tools essential for building data pipelines effectively. Strong experience with cloud platforms like AWS, Azure, or Google Cloud The ability to build collaborative relationships with stakeholders from across the organisation, working together to deliver business-driven solutions. Solid Experience in the Insurance Industry This is a great More ❯

turn complex data into actionable business insights. In this role, you'll partner with teams across the business to gather and connect data from systems like Salesforce, NetSuite, and Google Analytics. You'll create clear, reliable dashboards and play a key part in strategic planning, delivering insights on pricing, product performance, market trends, and customer satisfaction. From building automated reports More ❯

environment ✔ Strong SQL skills + Python or R for deep analysis ✔ Comfortable with tools like GA, Content Square, Appsflyer, Firebase ✔ Visualisation experience (Tableau or Looker) ✔ Comfortable implementing tracking via Google Tag Manager ✔ A/B testing pro with a good eye for trends and anomalies ✔ Clear communicator who can turn data into action 🌀 The vibe: A high-growth, fast-paced More ❯

tools (Jira, Confluence). Comfortable working with a modern digital tech stack, including: CMS platforms : Sitecore, Optimizely (Episerver), or Headless CMS Frameworks : .NET, Next.js Cloud services : Azure, AWS, or Google Cloud Third-party integrations : CRM, analytics, marketing, or payment systems Why Apply? This is a great opportunity to join a fast-paced digital environment where your input will have a More ❯

HOW TO APPLY If this sounds like the role for you, swiftly send over your CV to Izzi at Harnham by using the link below. KEY TERMS IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging, Tags, Insight, Client, Agency, Management, Strategy More ❯

identify opportunities to increase the operational efficiency of the support model Skills required AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. Oracle Database: Proficiency in More ❯

tech or SaaS environment. Proven expertise with modern email marketing platforms like MailerSend , MailerLite , or similar tools. Strong proficiency with SEO and analytics tools such as Semrush , Ahrefs , and Google Analytics . Demonstrated success in managing and scaling large email lists (100k+ subscribers) and developing complex automation workflows. Deep understanding of email marketing metrics, A/B testing methodologies, and More ❯

product management, preferably leading CMS or platform products at a global scale. Demonstrated success owning high-impact platforms with complex integrations and long-term roadmaps. Strong working knowledge of Google Cloud Platform (GCP) and BigQuery. Hands-on experience with API integrations and platform interoperability. Proficient in Contentful CMS Platform Strong understanding of content modeling, template development, and digital publishing workflows. More ❯

gap between cutting-edge technology and real-world business needs. 🔹 Your Role: Take the lead in designing and delivering robust cloud and hybrid solutions across major platforms (Azure, AWS, Google Cloud). Guide stakeholders—including clients, governance teams, and vendors—from concept to completion. Design, implement, and optimize DevSecOps, Kubernetes, serverless, IaaS, PaaS, SaaS , and beyond. Champion modern operations with More ❯

and vulnerability. Applied statistical skills such as Bayesian statistics, uncertainty quantification, or Extreme Value Theory. Knowledge of machine learning applications in climate risk. Familiarity with cloud platforms (e.g., AWS, Google Cloud). If this role looks of interest, please apply below. Please note - this role does not offer sponsorship. More ❯

foundation with proficiency in Python, SQL, and cloud platforms. Proven experience in deploying machine learning models or optimisation algorithms into production. Solid understanding of digital marketing concepts, platforms (e.g., Google Ads, Meta), and analytics tools. Demonstrated experience across key use cases such as: Customer Lifetime Value (CLV) modelling Propensity scoring and lead prioritisation Budget allocation and bidding optimisation Experimentation, A More ❯

across the organisation. This includes defining the roadmap, translating business requirements into technical deliverables, and working closely with engineering and analytics to ensure consistent delivery. The business sits on Google Cloud Platform, so technical credibility across GCP, SQL, and Power BI will be essential from day one. Key responsibilities include: Owning and delivering the BI product roadmap Collaborating with data More ❯

frameworks (e.g. A/B testing) and work on campaign attribution initiatives Enable internal stakeholders to make informed, data-led choices Ideal Candidate: Hands-on experience with GA4 and Google Tag Manager implementation Confident working with large datasets; experience with cloud-based analytics tools such as BigQuery is valuable Proven ability to deliver analytical solutions in ecommerce or retail-focused More ❯

and values-driven environment? Want to play a crucial role in understanding and enhancing customer lifetime value. Essential Skills for the Perfect Candidate: Strong proficiency in Excel, SQL, and Google Analytics. Experience in analysing Customer Lifetime Value in a Direct-to-Consumer business. Exceptional skills in presenting complex data and building relationships across departments. In this Role, You Will: Analyse 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 Mobile Engineer/Full Stack Mobile Developer 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 Mobile Engineer/Full Stack Mobile Developer More ❯

such as; production issues, timeline requirements Bonus points Experience in working within a high-growth environment in the financial services or fintech industry Experience in other cloud platforms (Azure, Google) Experience in other programming languages Experience with financial regulations and compliance requirements (e.g. GDPR, PCI-DSS) For more info, please reach out. Reasonable Adjustments: Respect and equality are core values More ❯

of AI tools (LLMs, Claude Code, Cursor, Windsurf, LangChain), scripting (Python, JS), no-code (Zapier, Retool, Make, n8n), and custom logic Connect systems like Firebase, Stripe, Bigquery, Lightdash, Slack, Google Sheets, and more Work embedded with teams to understand their pain points and deliver solutions they’ll actually use Track outcomes (time saved, workflow speed, adoption), iterate on what works More ❯

in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems). Strong More ❯

but it is important they know what good looks like. Knowledge of emerging trends and issues within the Data Analytics landscape. Experience working with cloud environments & components (e.g., on Google Cloud Platform or equivalent). More ❯