151 to 175 of 1,040 GCP Jobs in London

complex enterprise initiatives Technical Environment Experience in several of the following areas would be beneficial: Snowflake Kafka or other streaming technologies Azure, AWS or GCP Kubernetes and container-based platforms Data Warehousing and Data Lake technologies CI/CD tooling and deployment automation Infrastructure as Code ETL/ELT frameworks ...

skills demand within the company, certifications etc.YOUR PROFILEMust have experience of delivering Digital Solutions on one or more cloud platform (AWS, Azure, GCP).Comfortable working in an Agile Environment balancing time-to-value and iterative delivery with governance and control processes.Experience and knowledge to quickly build and test applications ...

processes per project, client workstreams and in the technology department as a whole. Technical skills and knowledge: Cloud hosting providers such as AWS, Azure, GCP, Vercel & Netlify Cross‐platform AI experience across AWS, Microsoft Azure, Google (e.g. Bedrock, AgentCore, Vertex, Azure ML etc.) Advanced Python programming AI frameworks such ...

strong plus and will be valued in candidate evaluation, since it enables broader solution ownership across engagements. Public cloud platforms (AWS, Azure, GCP), particularly hybrid and cloud‐adjacent private cloud designs. Networking (routing/switching, data center fabric) given the tight coupling with NSX/OVN‐Kubernetes design. Storage architecture ...

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. ...

matched by a pragmatic approach. Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP). Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts. Serverless & Event-Driven ...

willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills Proven ability to engage with customers in a technical ...

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 ...

willingness to learn (or existing knowledge of) Spark. Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP). Hands‐on expertise in designing and delivering complex proofs‐of‐concept (PoCs). Pre‐Sales & Customer‐Facing Skills: Proven ability to engage with customers in a technical ...

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 ...

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 ...

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 ...

engineering teams.* 5–8 years of relevant experience in observability, SRE, or platform engineering roles.**Desirable*** Experience with cloud platforms such as AWS or GCP, particularly in the context of observability and infrastructure monitoring.* Familiarity with other observability tooling such as Grafana, Prometheus, or Splunk, and experience migrating or consolidating ...

building and maintaining data pipelines for continuous training, with a focus on reproducibility, dataset versioning, and efficient access Working knowledge of cloud platforms (AWS, GCP, or Azure) and modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV ...

engineering teams. 5-8 years of relevant experience in observability, SRE, or platform engineering roles. Desirable Experience with cloud platforms such as AWS or GCP, particularly in the context of observability and infrastructure monitoring. Familiarity with other observability tooling such as Grafana, Prometheus, or Splunk, and experience migrating or consolidating ...

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. ...

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 ...

them to solve specific problems. Solid engineering skills, including designing and implementing services/data models and features. Expertise with cloud computing platforms (AWS, GCP, or Azure) and containerisation tools (e.g., Docker, Kubernetes). Expertise with modern data platforms (e.g., BigQuery/Databricks) and data processing workflows (ETL, pipelines). ...

engineering or DevOps concepts & best practices is preferred Experience in terraform deploying and configuring metastores and workspaces on any cloud platform (AWS, Azure or GCP) highly desirable Any Databricks certificates are highly regarded Willingness to travel This position is fully-remote; however, London-based applicants will have the opportunity ...

Code scanning tools CI/CD pipelines (GitHub, GitLab, Jenkins etc.) Container security platforms Cloud security tooling Technology Environment Cloud platforms (AWS, Azure or GCP) Containerised platforms (Docker/Kubernetes) Microservices architectures REST APIs and modern application frameworks Identity and access management solutions Ideal Candidate Background 7–12+ years experience ...

scientists. We move fast and value people who are energised by that. What You'll Do Design, provision, and manage cloud infrastructure (AWS/GCP) using infrastructure‐as‐code; Terraform, Pulumi, or equivalent. Own GPU compute environments for model training and inference, including cluster configuration, job scheduling, and cost optimisation. ...

infrastructure management frameworks (e.g., Terraform, Ansible, Chef). Familiarity with containerisation platforms (e.g., Kubernetes, Helm). Experience with cloud-native platforms (e.g., AWS, Azure, GCP). Ability to integrate security controls into engineering workflows. Understanding of software and system validation, and test principles. Benefits: Opportunity to work on significant ...

infrastructure management frameworks (e.g., Terraform, Ansible, Chef). Familiarity with containerisation platforms (e.g., Kubernetes, Helm). Experience with cloud-native platforms (e.g., AWS, Azure, GCP). Ability to integrate security controls into engineering workflows. Understanding of software and system validation, and test principles. Benefits: Opportunity to work on significant ...

similar) and an eye for interfaces that feel considered rather than merely functional. Cloud infrastructure. Experience deploying and operating distributed services on AWS, GCP, or Azure. Containers and orchestration. Docker and Kubernetes in production. Real-time data. Experience processing or analysing real-time data streams at scale. Retail or personalisation. ...

Python is a plus). React.js and Single‐Page Application development. Developing and deploying containerised applications within the context of cloud platforms (ideally GCP) SQL and management of SQL databases in a cloud environment. Automating complex processes and user journeys, e.g. onboarding, triaging and scheduling. Familiar with spec‐driven development ...