401 to 425 of 2,012 GCP Jobs

clustering, and correlation algorithms. Generative AI: Experience with LLM prompting, Retrieval‐Augmented Generation (RAG), and LangChain. Cloud Infrastructure: Deep understanding of AWS, Azure, or GCP infrastructure components Additional Preferred Qualifications: Experience with enterprise observability and AIOps platforms such as ServiceNow ITOM, Splunk, Dynatrace, Datadog, BigPanda, New Relic, or similar platforms. ...

solutions. Tech environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes and GPU infrastructure. What we're looking for Proven enterprise AI or ML architecture design, strong cloud and modern data platform knowledge, and demonstrable experience ...

customers on data engineering best practices, data modeling, governance, and platform optimization. Advise on Databricks integrations with cloud platforms such as AWS, Azure, and GCP, as well as related data technologies. Demonstrate solutions across data engineering, data science, machine learning, and generative AI use cases. Collaborate with account teams throughout ...

Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge of data governance, metadata ...

Essential 5+ years' experience in Data Engineering or a similar role. Strong experience with Python, SQL, Apache Spark, and Cloud platforms (AWS, Azure or GCP) Experience designing and operating production-scale data platforms. Desirable Experience working with AWS. Experience supporting machine learning or AI platforms. Knowledge of data governance, metadata ...

multidisciplinary teams Experience Required Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

. ServiceNow Certified Technical Architect (CTA) or progress toward certification. Experience with Agile/Scrum delivery methodologies. Exposure to cloud technologies (AWS, Azure, GCP) and enterprise IT ecosystems. #J-18808-Ljbffr ...

designing and building complex ETL processes and large-scale data pipelines Significant experience working with cloud-based data platforms such as Azure, AWS or GCP Advanced SQL expertise with experience working across large and complex datasets Strong Python skills for data engineering, automation and orchestration Solid understanding of modern data ...

core Big Data Analytics domain with some exposure to advanced proofs‐of‐concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. The role requires travel to customer sites in the UK. Travelling approx. ...

fast‐moving environments where requirements evolve quickly. A bias toward ownership, pragmatism, and delivering useful solutions. Nice to Have Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry. Familiarity with distributed systems, monitoring data, or usage-based billing data. Experience supporting customer-facing data products or platforms. What ...

Deep knowledge of distributed systems, data architecture, CI/CD, Kubernetes, secure enterprise networking, and at least one major cloud provider (AWS, Azure, or GCP). Hands-on expertise in scalable data pipelines and cloud data platforms like Snowflake, Databricks, Redshift, or BigQuery, alongside familiarity with the broader Matillion product ...

based environments. Knowledge of UK Government security and compliance frameworks, including: JSP 604 Secure by Design Experience across multiple cloud platforms including: AWS Azure GCP What Success Looks Like Viewing obstacles as opportunities for growth. Taking ownership and maintaining a strong bias towards action. Providing constructive, compassionate and direct feedback. ...

operating production services at scale. Hands‐on experience building backend platforms, developer tools, or infrastructure products. Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes. Proven ability to take ownership of large technical initiatives from architecture through production. Commitment to software quality ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning ...

operating production services at scale. Hands-on experience building backend platforms, developer tools, or infrastructure products. Familiarity with cloud platforms such as AWS, GCP, or Azure and container technologies including Docker and Kubernetes. Proven ability to take ownership of large technical initiatives from architecture through production. Commitment to software quality ...

Infrastructure fundamentals (e.g., Datacenter, Networks, Compute, Storage) Cloud and Infrastructure Migrations, Operations and Lifecycle management Cloud services (e.g., Amazon Web Services, Microsoft Azure, Google Cloud Platform) Cloud and Infrastructure Security & Resilience (DR, HA, Backup & Recovery) Virtualization Platforms (e.g., VMware, Hyper-V, Nutanix) Container Platforms (e.g., Openshift, EKS, AKS, GKS) Infrastructure ...

SLOs, golden signals, and effective alerting to support operational excellence.* Support integration and adoption of observability tooling across on-prem, public cloud (AWS/GCP), and containerized environments (ECS, Kubernetes).* Customize shared dashboards and observability components in partnership with CTI and other central Engineering functions, ensuring usability and flexibility. ...

industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning ...

MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails ...

define metrics, generate actionable insights, and drive decisions based on operational data. Hands-on experience with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure, and infrastructure-as-code tooling including Terraform. Systematic problem-solving and troubleshooting skills applied to complex, distributed systems in production environments. ...

Exchange Online, Outlook, Office, OneDrive, SharePoint Online, Microsoft Power Platform, Azure, Scripting, Active Directory, Archiving Services). Strong experience managing cloud environments (Azure, AWS, GCP), including security groups, resource groups, load balancers, storage, backup & recovery, and networking. Experience configuring Azure resources such as Virtual WAN, Application Gateway, Route Tables ...

asset management, wealth management, or client-facing financial technology platforms Familiarity with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform Exposure to event-driven architecture and distributed systems design Experience with modern front-end component libraries and design systems ABOUT US J.P. Morgan ...

Good understanding of MLOps stack (CI/CD, monitoring, pipelines) Familiarity with tools like MLflow, Airflow, Evidently, DVC, Docker, Kubernetes. Cloud experience (AWS/GCP/Azure) Some mentoring/leadership experience + desire to grow into management Nice to have: Experience scaling ML platforms or teams Fintech/lending ...