201 to 225 of 1,092 GCP Jobs in London

with ML, backend, and product What We’re Looking For 4+ years in platform/DevOps/infra Strong Kubernetes, Docker, cloud (AWS/GCP/Azure) GPU workloads/ML infra Experience designing & operating multi-tenant architectures with strict tenant isolation Familiarity with autoscaling & service isolation Experience with ...

Kubernetes and related tooling. Deep understanding of cloud‐native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN). Extensive experience writing and maintaining ...

Kubernetes and related tooling. Deep understanding of cloud‐native and traditional networking architectures. Proven experience designing and operating scalable, secure and resilient networks in GCP or AWS. Strong understanding of networking fundamentals (TCP/IP, BGP, routing, DNS, NAT, Firewalls, IPAM, Load Balancers, VPN). Extensive experience writing and maintaining ...

plus. Are strong in Python for automation and operational tooling, with production experience in Terraform and at least one major cloud provider (AWS or GCP). Have built and maintained CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Argo CD) and are comfortable with observability stacks (Datadog, Prometheus, Grafana ...

with the ability to support and guide team members, encourage collaboration, and promote engineering and delivery best practices Experience working with AWS, Azure or GCP, along with in-depth knowledge of public cloud security best practices Experience with multi-cloud environments and Kubernetes orchestration, with a focus on security, availability ...

5+ years of experience building data platform product(s) or features with (one of) Apache Spark, Flink or Iceberg, or with comparable tools in GCP* 5+ years of experience programming with Java, Scala or Kotlin.* Proven experience owning robust feature/product design end to end, yourself, especially with vaguely ...

/ELT processes, and analytics engineering best practices. Exceptional programming skills, particularly in Python, Scala, or Java, and deep expertise with cloud platforms (AWS, GCP, or Azure). Extensive experience working with privacy-sensitive datasets and implementing robust data observability and governance frameworks. A strong technical background with a track ...

automate repetitive delivery and governance tasks, reducing human toil while maintaining security, auditability, and quality gates. Integration fluency across AWS/Azure/GCP/IBM (one or more), including networking/connectivity, IAM/zero trust, compute/storage, HA/DR, containers/orchestration, API management, and iPaaS ...

including SQL and Python* Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks ...

providing strategic technical leadership What they're Looking For Enterprise cloud data platforms Snowflake Event-driven architecture and modern integration patterns Azure, AWS or GCP Kubernetes and cloud-native technologies CI/CD, DevOps and automation Data governance, security and operating models Why Apply? Shape strategic technology decisions at enterprise ...

Optimisation, and LTV. Experience in building and deploying production-ready ML models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant). Ability in Python and SQL for data manipulation, modelling, and scripting. You have experience working with large ...

optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). What We Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds ...

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. ...

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 ...

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 ...

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 ...

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. ...

solutions Experience using enterprise architecture tools such as LeanIX, Avolution, Orbus, Bizzdesign or similar Relevant certifications (e.g. TOGAF, COBIT, DCAM, AWS/Azure/GCP architecture ) Knowledge of DAMA-DMBOK Security requirements (mandatory) Please note that any offer and commencement of employment is subject to : Confirmation that you already hold ...

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 ...

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 ...