1 to 25 of 205 Google Jobs in the City of London

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 ❯

driven design Demonstrated ability to deliver production grade AI solutions that integrate data pipelines, models and orchestration logic across multi-cloud or hybrid environments Certifications across AWS, Azure or Google Cloud Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic Prior involvement in digital transformation or AI native product development within enterprise settings 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 ❯

big data systems. Familiarity with AWS , Redshift , or other cloud data platforms (GCP/Azure also welcome). Background in AdTech, MarTech or experience with Meta Marketing API or Google Ads API is a plus. Ability to thrive in a fast-paced scale-up environment and collaborate across teams. BENEFITS The successful Senior Python Engineer will receive the following benefits More ❯

evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products Research experience (e.g., Master’s project, internship at research organization). Cloud experience (e.g. Google Cloud and cloud run preferred) including core web application infrastructure More ❯

pressure environments. Technologies AI/Automation: Conversational AI platforms, Generative AI models (LLMs), Agentic AI frameworks, RPA tools. CCaaS: Genesys, Avaya, NICE, Five9, Amazon Connect. Cloud platforms: AWS, Azure, Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics, reporting, and modelling tools. Qualifications Significant experience in Presales, Solutions Consulting, or Technical Architecture. Proven track record in delivering AI-enabled CX More ❯

of designing scalable, secure, and modular application architectures. Integration & APIs: Experience with RESTful APIs, microservices, and system integration patterns. Cloud Platforms: Experience with cloud services (e.g., Microsoft Azure, AWS, Google Cloud) including PaaS and SaaS offerings. DevOps Practices: CI/CD pipelines, infrastructure as code, automated testing, and monitoring tools. The Curve Group is a dynamic Recruitment Services and Human More ❯

of designing scalable, secure, and modular application architectures. Integration & APIs: Experience with RESTful APIs, microservices, and system integration patterns. Cloud Platforms: Experience with cloud services (e.g., Microsoft Azure, AWS, Google Cloud) including PaaS and SaaS offerings. DevOps Practices: CI/CD pipelines, infrastructure as code, automated testing, and monitoring tools. The Curve Group is a dynamic Recruitment Services and Human More ❯

Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Data Science, Economics, Marketing Analytics, or related discipline Professional certifications in data analytics, forecasting, or marketing analytics (e.g., Google Analytics, Microsoft Power BI, Tableau, CIM, or similar) (highly desirable) Familiarity with tools or languages used for statistical forecasting (e.g., R, Python More ❯

of designing scalable, secure, and modular application architectures. Integration & APIs: Experience with RESTful APIs, microservices, and system integration patterns. Cloud Platforms: Experience with cloud services (e.g., Microsoft Azure, AWS, Google Cloud) including PaaS and SaaS offerings. DevOps Practices: CI/CD pipelines, infrastructure as code, automated testing, and monitoring tools. In return we offer a fantastic benefits package including: Up More ❯

. Comfortable operating in matrixed organizations and comfortable being part of cross functional teams Strong understanding of data integration processes, APIs, and database management. Experience with analytics tools (e.g., Google Analytics, Tableau, Power BI) and CRM systems. Familiarity with data privacy regulations (e.g., GDPR, CCPA) and best practices in data governance. Excellent problem-solving, communication, and project management skills. What More ❯

degree in Computer Science, Engineering, or a related field. ● Experience building your own start up or product is a huge plus! Backend & Infrastructure: ● Full proficiency in Python. ● Experience with Google Cloud Platform (GCP); or confidence in transferring experience from AWZ or Azure. ● Familiarity with microservices architecture and serverless computing. ● Understanding of DevOps principles and infrastructure as code (IaC). AI More ❯

time-dependant data. Deep learning and neural networks. LLM Operations Expertise in managing and operationalising large language models. Experience in deploying models on cloud platforms (e.g. AWS, Sage maker, Google AI Platform, IBM Watson) IND_PC3 More ❯

data processing and automation. Interest in AI/LLM applications — hands-on experience welcome but not essential. Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus). Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms). Strong communication skills and a problem-solving mindset. What’s on More ❯

environments, with hands-on experience in tools such as: Data transformation: DBT (Data Build Tool) Data warehousing: BigQuery or similar Workflow orchestration: Airflow Infrastructure as Code: Terraform Cloud Platforms: Google Cloud Platform (GCP) or Amazon Web Services (AWS) Strong software engineering fundamentals, including proficiency in Python, SQL, and DevOps practices. Proven ability to work in a fast-paced, agile environment More ❯

PhD degree in a relevant field. Good working knowledge of optimisation (linear programming). Strong experience with Python and standard ML libraries. Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Equal employment opportunity Solvo.ai is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender More ❯

Banking Domains. Good understanding of Bank’s domain and related technology architecture Experience in crafting AI and GenAI based Service Transformation solutions Experience in creating solutions on VertexAI and Google ADK Experience in Frontend Presales roles Experience in providing support and consult on deal structures and solutions. Ability to own and drive digital solutions across a wide range of technologies More ❯

or LangGraph. Vector Databases: Understanding of or experience with vector databases (e.g., Pinecone, Weaviate) for managing embeddings. Cloud Platforms: Familiarity with cloud services for deploying and managing applications (e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development More ❯

Core skills, knowledge and experience required Audio and video processing - Understanding of audio and video processing principles Virtualisation & Cloud Computing – proficiency with virtualisation and cloud computing eg AWS, Azure, Google Cloud platforms. Multiplexing - Proficiency in encoding and multiplexing technologies Diagnostic tools - Proficiency in diagnostic engineering tools and software Analytical and technical problem-solving skills to diagnose and resolve technical issues More ❯

security, and performance. Work closely with stakeholders to translate business requirements into technical solutions. Requirements 5+ years of experience in Data Engineering or a similar role. Strong proficiency in Google Cloud Platform (GCP), BigQuery, Dataflow, Pub/Sub, Composer, etc. Expertise in SQL and programming with Python or Scala. Experience with Airflow, dbt, or other orchestration frameworks. Solid understanding of More ❯

and ongoing data enrichment. Apply experimentation and testing methodologies to evaluate the success and effectiveness of new features and product changes. YOUR SKILLS AND RESPONSIBILITIES: Multiple years experience using Google Analytics or Adobe Analytics. Proven experience in managing or mentoring colleagues, fostering both professional growth and team performance. Exceptional communication skills, with the ability to adapt presentation style and messaging More ❯

years experience, working with modern programming with one or more programming languages, Python and/or Golang, Java, Ruby, TypeScript etc? Experienced working on cloud platform such as AWS, Google Cloud and have a good understanding of cloud infrastructure? Experienced working with Containers and Orchestration tools such as Docker & Kubernetes? Looking to work for a company working along side engineers More ❯

ways. Role Overview As a Full Stack Commerce Engineer Manager , you will: Lead client-facing engagements and design AI-powered solutions. Build full-stack applications integrating Generative AI (OpenAI, Google Gemini, Nvidia). Architect data flows across enterprise platforms (DAM, PXM, CDP, CMS, CRMs). Work with cloud platforms (Azure/GCP) and advanced databases (SQL/NoSQL). Mentor More ❯

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 ❯

in 2025). The platform is already processing hundreds of thousands funding offers/month. 85% of all underwriting decisions are made by AI. Gen-AI agents (built on Google Gemini) are live and unlocking new automation curves. Your remit is to shift the org from replatforming to impactful delivery — tightening delivery loops, raising engineering quality, and building platform leverage. More ❯