1 to 25 of 645 Google Jobs in London

Cloud & DevOps Experience with at least one major cloud platform: AWS (preferred) Bedrock SageMaker Lambda ECS/EKS S3 Or experience within: Microsoft Azure Google Cloud Platform (GCP) Additional experience with: Docker Kubernetes Git CI/CD Pipelines Terraform (desirable) What We're Looking For Strong software engineering foundations Passion ...

learning, and a commitment to advancing both personal expertise and organizational capability. **Skill Level Requirements** • Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. • Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). • Proven ability to architect solutions across enterprise systems, integration layers ...

learning, and a commitment to advancing both personal expertise and organizational capability. Skill Level Requirements Deep expertise in cloud architecture across AWS, Azure, or Google Cloud platforms. Strong experience designing microservices-based architectures, APIs, and containerized environments (Docker, Kubernetes). Proven ability to architect solutions across enterprise systems, integration layers ...

REST APIs, distributed systems, and database design \n Familiarity with SQL and NoSQL databases \n Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) \n Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes \n Experience with AI/ML frameworks (e.g. ...

REST APIs, distributed systems, and database design \n Familiarity with SQL and NoSQL databases \n Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) \n Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes \n Experience with AI/ML frameworks (e.g. ...

systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow ...

systems Understanding of REST APIs, distributed systems, and database design Familiarity with SQL and NoSQL databases Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure) Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes Experience with AI/ML frameworks (e.g., TensorFlow ...

programming skills, including unit and integration testing \n Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies ...

programming skills, including unit and integration testing \n Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) \n Experience with large-scale distributed data processing and performance tuning \n Hands-on experience with modern data warehousing/lakehouse technologies ...

Python programming skills, including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift ...

Python programming skills, including unit and integration testing Hands-on experience building and operating cloud-based data platforms using major cloud services (e.g., AWS, Google Cloud, or Azure) Experience with large-scale distributed data processing and performance tuning Hands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift ...

data pipelines \n Experience building models for dashboard or cube consumption \n Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud \n Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline \n\n Preferred qualifications, capabilities, and skills ...

data pipelines \n Experience building models for dashboard or cube consumption \n Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud \n Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline \n\n Preferred qualifications, capabilities, and skills ...

architecture in data pipelines Experience building models for dashboard or cube consumption Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline Preferred qualifications, capabilities, and skills Experience with Databricks ...

architecture in data pipelines Experience building models for dashboard or cube consumption Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud Bachelor's degree in computer science, data science, information systems, business analytics, or related discipline Preferred qualifications, capabilities, and skills Experience with Databricks ...

years of recent, hands-on professional experience actively coding as a data engineer \n Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) \n Experience writing Python using object-oriented programming and unit/integration testing practices \n Experience with SQL and familiarity with SQL-based ...

years of recent, hands-on professional experience actively coding as a data engineer \n Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) \n Experience writing Python using object-oriented programming and unit/integration testing practices \n Experience with SQL and familiarity with SQL-based ...

least 5 years of recent, hands-on professional experience actively coding as a data engineer Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow ...

least 5 years of recent, hands-on professional experience actively coding as a data engineer Hands-on experience with major cloud technologies (e.g., AWS, Google Cloud, or Azure) Experience writing Python using object-oriented programming and unit/integration testing practices Experience with SQL and familiarity with SQL-based workflow ...

ONNX Runtime , and LangChain , integrating orchestration tools like Semantic Kernel , LangGraph , and CrewAI Drive responsible integration of Large Language Models (LLMs) from OpenAI , Anthropic , Google Gemini , and Mistral , including deployment via Azure OpenAI Service or Vertex AI . Implement retrieval-augmented generation (RAG) architectures and manage vector databases such ...

development. Strong proficiency in SQL and Python. Hands-on experience with DBT, Git, Terraform, IAM, Airflow/Composer, and Docker. Cloud platform experience, preferably Google Cloud Platform (BigQuery), with Azure or AWS also considered. Experience building and maintaining modern data warehouses and data platforms. Strong understanding of CI/ ...

TypeScript, JavaScript, Database Design, SQL, NoSQL, PostgreSQL, System Architecture, Technical Leadership, Engineering Strategy, Software Reliability, Performance Optimisation, Automation, DevOps, CI/CD, AWS, Azure, Google Cloud, Kubernetes, Docker, Open Source, GitHub, Research Engineering, Machine Learning Engineering, AI Engineering, Deep Learning, Mathematical Modelling, Competitive Programming, Hackathons, Research Projects, Technical Projects, Product ...

capabilities and skills: \n \n Demonstrate proficiency in Java and/or Python programming languages \n Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain \n Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools ...

capabilities and skills: \n \n Demonstrate proficiency in Java and/or Python programming languages \n Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain \n Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools ...

utility. Required qualifications, capabilities and skills: Demonstrate proficiency in Java and/or Python programming languages Deployed production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilized cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools ...