1 to 25 of 525 Remote Google Jobs

services, healthcare, or similar). Demonstrated track record of thought leadership in AI/ML, evidenced by patents, publications, or significant open-source contributions. Relevant industry certifications (AWS/Google/Azure/IBM ML Certifications) and deep understanding of technical courses (e.g., Andrew Ng's Coursera Courses, Andrei Karpathy's Tutorials) highly desirable. Technical Proficiency Demonstrated success leading the More ❯

migration project and lead a talented data engineering team at a fast-growing, tech-driven business. Why this role? Lead the migration of an existing Azure data warehouse to Google BigQuery , creating a scalable, modern platform to power analytics, BI, and data science. Join a collaborative, people-first culture that's been recognised as a Great Place to Work for More ❯

adaptable, and a willingness to handle constantly changing priorities with continued enthusiasm Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Solutions Architect) Experience with other cloud platforms (e.g., AWS, Google Cloud) Knowledge of Agile methodologies and practices The Where and When This is a full-time role (35 hours per week) based in either our Manchester or Milton Keynes office. More ❯

concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days More ❯

concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days More ❯

modern language (JavaScript/TypeScript, 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: AWS, Azure, or GCP; Docker More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in DevOps and Azure ML, or other MLOps and ML Lifecycle technology stacks, such as AWS, Databricks, Google Cloud, etc. Experience with deploying services in Docker and Kubernetes Experience in creating production grade coding and SOLID programming principles, including test-driven development (TDD) approaches Experience in programming languages More ❯

DS methods such as causal inference (e.g., quasi-experimental and experimental designs) & machine learning methods (e.g., regression/classification); cloud-based services for DS (e.g., Microsoft Azure, Amazon AWS, Google Cloud Platform, Databricks or others); and (v) Able to travel domestically; potential for international travel. Job in Williamsburg, VA - remote work permitted with periodic travel to home office as needed. More ❯

efficiency and deployment effectiveness, including Azure DevOps or GitHub Considerable experience designing and building operationally efficient pipelines, utilising core Cloud components, such as Azure Data Factory, Big Query, AirFlow, Google Cloud Composer and Pyspark etc Proven experience in modelling data through a medallion-based architecture, with curated dimensional models in the gold layer built for analytical use Strong understanding and More ❯

researching and proposing new solutions. Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices. Technology Stack at Zefr: Core Infrastructure & Cloud Platforms: Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS) Infrastructure as Code (IaC): Terraform Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize Service Mesh: Istio CI More ❯

or optimizing for edge cases. Hands-on experience with AI-powered coding assistants (e.g., Cursor, GitHub Copilot, or similar tools) to enhance productivity in LLM engineering workflows. Experience with Google Cloud Platform (GCP) for deploying and managing AI workloads, including services like Vertex AI, Cloud Run, or AI Platform. Familiarity with vision tasks, including OCR (e.g., via Tesseract or EasyOCR More ❯

and data manipulation. DevOps : Knowledge of Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools such as GitHub Actions, Azure Pipelines. Basic understanding of cloud computing services (Google Cloud, Azure) and containerisation for deploying and managing applications. Collaboration with the business units & Pod involvement: Act as a liaison between the Scripting & Low/No-Code Chapter and various More ❯

Hat Open Shift Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Preferred Qualifications: Experience with databases: PostgreSQL Knowledge of cloud services: AWS, Azure, or Google Cloud Platform. Familiarity with Agile methodologies. More ❯

of experience in backend development using .Net. Strong understanding of RESTful API design and decentralized microservices architecture. Experience with containerization tools (Docker, Kubernetes). Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency with ADO, Git and version control workflows. Solid understanding of concurrency, memory management, and performance optimization in Go and .Net. Proficient in the Microsoft More ❯

Prometheus, Grafana). Automation with Terraform, Ansible or similar. Programming in Python, Java, GoLang. Desirable Financial services or regulated industry experience. AWS/GCP certifications (e.g., AWS Solutions Architect, Google Professional Cloud Engineer). Knowledge of cryptography. If you are a skilled Senior Software Engineer with strong cloud, DevOps, and software development expertise, and youre looking for your next challenge More ❯

DevOps practices - ie Azure, CI/CD pipelines, scaling, cost optimisation. Strong problem-solving and communication skills. Desirable Skills: Background in retail or e-commerce data environments. Experience with Google Analytics data integration. Why Join? This is more than just a Senior Data Engineer role it's a chance to shape the future of a high-growth retail & e-commerce More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). • Ability to quickly acquire new skills and tools. • Good non-functional testing experience. Desirable Skills • Experience working in financial services or other regulated environments. • GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). More ❯

encryption). Ability to quickly acquire new skills and tools. Good non-functional testing experience. Desirable Skills Experience working in financial services or other regulated environments. GCP certifications (e.g., Google Cloud Engineer/GCP Cloud DevOps Engineer). All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be More ❯

Our solutions will not be tied to a specific cloud platform, so the ideal candidate should have a strong understanding of cloud architecture with either Amazon Web Services (AWS), Google Cloud Platform (GCP) or Microsoft Azure and be willing to work across all clouds. You will be responsible for deploying commercial-grade APIs using Python Docker images, Typescript/Python More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

Key Skills and Experience: Previous experience as a DevOps/MLOps engineer Experience in Azure ML or databricks, or similar industry approved technology stack (i.e. AWS, Kubernetes and Docker, Google Cloud) Understanding of machine learning models and the modelling process, from data ingestion and cleaning to deployment and modelling – from the ground-up, not only through the use of packages More ❯

in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud platforms (Azure, AWS, or Google Cloud). Knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field (preferred More ❯