1 to 25 of 254 Google Jobs in London

About the Company Our client a Google Partner is looking to hire an experienced Data Engineer. About the Role You will be part of a team responsible for the development and overall delivery of big data platform solutions, automation solutions and data AI Agents. You will be designing and proposing … effective combinations of Google Marketing Platform tools (GA4, Campaign Manager 360, Search Ads 360, etc.) and Google Cloud solutions (BigQuery, BQ Sharing (Analytics Hub), Cloud Storage, APIs, Compute Engine, etc.) to address specific client needs. You will be designing, maintaining, and optimising data infrastructure for data collection, management, transformation ...

Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices: RESTful APIs, GraphQL, microservice architectures Cloud & DevOps ...

offline ML models Backend Integration : Ruby/Python API, AWS (Lambda, S3, RDS), PostgreSQL, Redis, real-time sync DevOps : GitHub Actions, Fastlane, TestFlight/Google Play beta distribution, Firebase (Analytics, Crashlytics), feature flags Location: UK More than just code, you'll be: A builder : Architect and ship native iOS/ ...

enterprise and cloud environments, ideally Azure ML, GCP Vertex AI, or Azure Foundry. Familiarity with AI architectures, LLMs, vector databases, and agent frameworks (e.g., Google ADK, LangChain/LangGraph) is a significant advantage. Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team ...

data governance principles. Experience with SQL, ETL tools, and big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and data integration frameworks. Strong problem-solving skills and ability to work in a cross-functional environment. ...

build creation, unit/integration/system testing. Understanding of end-to-end software development lifecycle. Exposure to test frameworks such as Pytest or Google Test Framework. Excellent communication skills, able to provide progress updates and documentation. Bonus: Familiarity with front-end technologies (HTML, CSS, JS, TypeScript, Node.js ...

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 ...

mentoring capability within cross-functional teams. 🧠 Tech Stack Familiarity AI/Automation: Conversational AI platforms, LLMs, agentic AI, RPA tools. Cloud: AWS, Azure, or Google Cloud. Integration: APIs, microservices, middleware. Data: Advanced analytics and reporting tools. 🎓 Preferred Experience & Certifications Background in Presales, Solutions Consulting, or Technical Architecture. Experience ...

generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.) Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads. Knowledge of market insight, technology trends ...

Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable Skills/Knowledge/Experience Certifications: AWS Certified Big Data Specialty, Google Professional Data Engineer, or equivalent. Soft Skills: o Excellent problem-solving and analytical skills. o Strong communication skills, with the ability to explain complex technical ...

Dataform - SQL transformation framework Cube.js - Semantic layer/analytics API Superset - Presentation layer Algolia/Vertex AI Search - Search PostgreSQL - App data Infrastructure & DevOps Google Cloud Platform (GCP) - Cloud provider Pulumi - Infrastructure as Code (TypeScript) GitHub Actions - CI/CD Firebase - Feature flags Cloudflare - CDN and DNS AI & Machine Learning ...

needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating ...

needed. Preferred Qualifications Strong hands-on experience with Kubernetes, Docker, containers, virtualization technologies (vSphere, OpenStack), and leading public cloud platforms such as AWS, Google Cloud Platform, and Azure. Industry certifications (AWS, Azure, Kubernetes), especially Certified Kubernetes Administrator (CKA) Proven experience with enterprise-grade security, compliance, and regulatory frameworks. Comfortable operating ...

automation, is advantageous. Knowledge of R and Julia is a good-to-have. Knowledge of setting up modern machine learning frameworks (e.g., PyTorch, Google Colab) is considered an asset. Good communication skills, ability to work cross‐functionally. MSc in Finance or Sciences. What is it like to work ...

Opportunity TechYard recruitment is working with a Google Consultancy who are looking to hire an experienced Google Cloud Analytics Practice Lead. They will own and scale our Analytics practice, setting the strategic vision for client data solutions built on the Google ecosystem. This pivotal role involves defining … team of specialists, and driving pre-sales. The ideal candidate is a seasoned, commercially-minded analytics expert with hands-on experience across the Google Cloud and Google Marketing platforms (BigQuery, Looker, GA4, GMP). They must have a proven track record in client consulting, the ability to advise senior stakeholders ...

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 ...

Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector Databases, Pinecone, Weaviate, Semantic Search, API Development, AI Deployment, Model Serving, AI Automation, Early Stage Startup, AI Startups ...

identity and access management, network and compute infrastructure security, data protection, workload security, and monitoring Knowledge of cloud security frameworks (e.g., AWS Well-Architected, Google Cloud Security Foundations) and architectural standards (e.g., TOGAF) Familiarity with AI security assurance frameworks and implementing security measures for cloud-based AI services Experience with ...

strategy and design for complex ML systems that support the needs of users, creators and content stakeholders Familiarity with cloud platforms such as AWS, Google Cloud, or Azure. Knowledge of containerization and orchestration tools like Docker and Kubernetes is a plus. Experience designing end to end ML data pipelines. Experience ...

enabling our engineers to deliver faster and with confidence. What You’ll Do Build and scale reliable cloud infrastructure. preferably in AWS (experience with Google Cloud is also great). Operate and optimise Kubernetes clusters at scale. Improve observability across systems using OpenTelemetry and New Relic. Automate infrastructure and deployments ...

Python skills, with experience in back-end development and unit testing. Familiarity with generative AI concepts, particularly Large Language Models. Experience with cloud platforms (Google Cloud preferred), including core web application infrastructure. Knowledge of agile practices and ability to thrive in collaborative, iterative environments. Proficiency with modern development tools ...

MUST HAVE 8+ years in data leadership, preferably in advertising or financial services. Hard skills: Expertise in SQL, Python, Tableau, cloud platforms (e.g., AWS, Google Cloud). Track record of driving business outcomes through analytics, not just delivering reports Soft skills: Strong communication, emotional intelligence, and facilitation—essential for partner ...

preferred. Preferred Skills • Familiarity with deep learning frameworks such as TensorFlow or Keras. • Experience with natural language processing. • Knowledge of cloud platforms like AWS, Google Cloud, or Azure. • Proficiency in SQL and database management. • Experience with big data platforms like Hadoop or Spark. • Familiarity with data visualization tools such ...

uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong understanding of Git/ ...

uphold quality and delivery standards. Tech Stack & Skills Core skills: Strong Python backend development experience (FastAPI or similar frameworks) Cloud-native deployment experience (preferably Google Cloud and Cloud Run) Unit testing experience (pytest or similar frameworks) Familiarity with agile development and CI/CD processes Strong understanding of Git/ ...