176 to 200 of 796 GCP Jobs in London

Kafka Streams)? Select Which statement best describes your hands on responsibility for architecting and tuning cloud native data lake/warehouse solutions (e.g., AWS S3 + Glue/Redshift, GCP BigQuery, Azure Synapse)? Select What best reflects your experience building ETL/ELT workflows with Apache Airflow (or similar) and integrating them into containerised CI/CD pipelines (Docker, GitHub More ❯

TURN). Proficiency in scripting and programming (e.g., JavaScript/Node.js, Python, Bash). Experience with Linux system administration, networking, and firewall configuration. Familiarity with cloud platforms (AWS, Azure, GCP) or private/on-premise Kubernetes clusters. Knowledge of DevOps practices and CI/CD tools (e.g., Helm, GitOps, ArgoCD). Experience with monitoring and logging (e.g., Prometheus, Grafana, ELK More ❯

interpreter technologies, embedded systems, operating systems, relational databases (RDBMS), scripting and new/advanced programming languages Demonstrated experience with cloud native development within a major cloud provider (AWS, Azure, GCP) is strongly desired Demonstrated experience leading teams to build large-scale, high-performance commercial database applications Demonstrated system level architectural skills required Ability to clearly and succinctly summarize results for More ❯

dbt, Airflow, and cloud data warehouses (Snowflake, BigQuery, Redshift) Strong understanding of data modelling, schema design, and building maintainable ELT/ETL pipelines Experience with cloud platforms (AWS, Azure, GCP) and infrastructure-as-code practices Familiarity with data visualisation tools (Tableau, PowerBI, Looker) and analytics frameworks Leadership & Communication Proven experience leading technical work streams and mentoring junior team members Exceptional More ❯

Preferred Qualifications Consulting experience or experience in a global marketing/analytics team. Familiarity with broader customer analytics techniques beyond MMM Experience working with cloud platforms (AWS, Azure, or GCP) and big data environments. MBA or other relevant advanced degree. What We Offer Access to cutting-edge tools and world-class training in AI, machine learning, and advanced analytics. A More ❯

Chroma), and LLM evaluation strategies. Familiarity with software engineering best practices, including: REST API design and integration Git version control CI/CD pipelines Cloud environments(e.g., AWS, Azure, GCP) and Docker Track record of building cross-functional collaborationacross engineering, product, and business teams to advance GenAI initiatives. Strong communication, mentorship, and leadership skills with a proactive, hands-on approach More ❯

understanding of best practices in terms of using SSR, CSR or hybrid approaches; Experience with CI/CD workflows and writing automated tests; Experience using cloud platforms like AWS, GCP or Azure; Markup and styling with HTML5 and CSS3; Unit testing using Jest or Enzyme; User Interface Performance and Responsiveness; Previous experience in balancing technical priorities with business needs and More ❯

huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills; Set yourself apart: Ability to lead large projects and drive through to completion More ❯

huggingface, etc. Must demonstrate the capacity of reading, understanding and implementing new techniques in the field of machine learning as they emerge. Experience of using Cloud technologies eg. AWS, GCP or Azure. Specialised visualisation techniques eg. D3.js, ggplot etc. Strong verbal/written communication & data presentation skills Awareness of Large Language Models (LLMs) and a strong enthusiasm for continuous learning More ❯

sci-kit learn,huggingface,etc. Must demonstrate the capacity of reading, understanding and implementingnew techniques in the field of machine learning as they emerge. Experience of using Cloud technologieseg.AWS, GCP or Azure Set yourself apart: Ability tolead large projects and drive through to completion Mastery of problem solving and solutioning Proven history and background in statistics/mathematics/macroeconomics More ❯

ML libraries (scikit-learn, TensorFlow, PyTorch) Solid understanding of data preprocessing & feature engineering Knowledge of supervised, unsupervised, and deep learning methods Experience in model evaluation & tuning Familiarity with AWS, GCP, or Azure is a plus Strong problem-solving & communication skills Qualifications : Bachelor s or Master s in CS, Engineering, Data Science, or similar 1 5 years experience in AI/ More ❯

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/CD & Automation … Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks: Transformers, HuggingFace Model Optimization/Formats: Onnx, TensorRT Data Stores & Databases: Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL) NoSQL Databases: DynamoDB Search Databases: OpenSearch, Elasticsearch Vector Databases: Qdrant Caching: Redis Data Warehousing: Snowflake What we're looking for: 4+ year job history designing, managing, deploying, and … supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required) Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux) Knowledge of IaC and configuration management tools More ❯

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯

A specialist reinsurance broker is seeking a Data Engineer with Google Cloud Platform (GCP) experience to join their growing team in Central London. This is a hybrid role, requiring 2-3 days per week in the office. This is a modern, digitally native business with no legacy systems - a rare opportunity to work in a clean, forward-thinking tech environment. … joining a dynamic and fast-paced team that values innovation, adaptability, and continuous improvement. Key responsibilities will include: Lead and support the migration from Azure to Google Cloud Platform (GCP), including BigQuery Collaborate with stakeholders to understand data needs and ensure smooth transition and integration Become the internal GCP subject matter expert, with direct support from Google Contribute to the … with minimal legacy constraints Requirements : Proven experience as a Data Engineer. Hands-on experience with cloud migrations (on-prem to cloud or cloud-to-cloud). Strong knowledge of GCP, including BigQuery. Experience in Financial Services is desirable but not essential Exposure to AI technologies is a plus Excellent communication and stakeholder management skills Comfortable working in a dynamic, unstructured More ❯

Azure/GCP) - Contract Key Responsibilities Develop, implement, and manage cloud security policies and solutions for GCP and Azure environments. Configure and maintain security services and tools within Google Cloud Platform (e.g., Cloud IAM, Security Command Center, VPC Service Controls) and Azure/M365 (e.g., Azure Security Center, Azure AD, Microsoft Defender for Cloud). Conduct regular security assessments, vulnerability … including data security, access controls, and compliance. Desirable Qualifications: 6+ years of experience in cloud security, information security, or a related field. Proven direct experience securing Google Cloud Platform (GCP) environments, including a strong understanding of GCP security services and best practices. Solid understanding of cloud security principles, including shared responsibility model, cloud native security controls, and infrastructure as code … response and threat modelling. Google Professional Cloud Security Engineer Azure Security Engineer Associate (AZ-500) Certified Cloud Security Professional (CCSP) This is very much a hands-on role requiring GCP and Azure, especially GCP for migration Hybrid London: 1-2 days Rate: Outside IR35 Length: Minimum 6 Months Please send me your CV if you meet these requirements More ❯

Azure/GCP) - Contract Key Responsibilities Develop, implement, and manage cloud security policies and solutions for GCP and Azure environments. Configure and maintain security services and tools within Google Cloud Platform (e.g., Cloud IAM, Security Command Center, VPC Service Controls) and Azure/M365 (e.g., Azure Security Center, Azure AD, Microsoft Defender for Cloud). Conduct regular security assessments, vulnerability … including data security, access controls, and compliance. Desirable Qualifications: 6+ years of experience in cloud security, information security, or a related field. Proven direct experience securing Google Cloud Platform (GCP) environments, including a strong understanding of GCP security services and best practices. Solid understanding of cloud security principles, including shared responsibility model, cloud native security controls, and infrastructure as code … response and threat modelling. Google Professional Cloud Security Engineer Azure Security Engineer Associate (AZ-500) Certified Cloud Security Professional (CCSP) This is very much a hands-on role requiring GCP and Azure, especially GCP for migration Hybrid London: 1-2 days Rate: Outside IR35 Length: Minimum 6 Months Please send me your CV if you meet these requirements More ❯

performance, and supporting the implementation of cloud-based solutions across AWS, Azure, and OCI platforms. Tasks Cloud Design and Development: Lead the design and development of Google Cloud Platform (GCP) architectures Create scalable, resilient cloud solutions using Infrastructure as Code (IaC) tools like Terraform Design and migrate applications across GCP and AWS … optionally Azure, and OCI platforms Collaborate with stakeholders to define cloud strategies and optimise existing infrastructure GCP and Multi-Cloud Expertise: Architect and implement cloud-native solutions in Google Cloud (GCP) , leveraging services like EKS , GKE (Google Kubernetes) Design and optimise GCP Implement Identity and Access Management (IAM) and Security Policies Work with Google Anthos, Kubernetes, and container-based architectures … rotation when required Requirements Experience: 7+ years of experience in designing, implementing, and managing cloud-based solutions across multiple cloud platforms Primary Expertise: Deep hands-on experience in Google Cloud (GCP) Basic knowledge/willing to learn AWS Proven experience in designing and implementing cloud architectures and solutions Experience with Apache Kafka , including setup, configuration, monitoring, and troubleshooting Proficiency in More ❯

cloud or infrastructure heave role Strong experience working with kubernetes Experience with Infrastructure as Code tools (e.g., Terraform, Pulumi). Solid experience with one or more cloud platforms: AWS, GCP, Azure, or DigitalOcean. Proficiency in scripting and automation (e.g., Bash, Python). Familiarity with CI/CD workflows and tools like GitHub Actions. Strong understanding of backend development with languages More ❯

cloud, or infrastructure-heavy roles. Strong experience working with Kubernetes. Experience with Infrastructure as Code tools (e.g., Terraform, Pulumi). Solid experience with one or more cloud platforms: AWS, GCP, Azure, or DigitalOcean. Proficiency in scripting and automation (e.g., Bash, Python). Familiarity with CI/CD workflows and tools like GitHub Actions. Strong understanding of backend development with languages More ❯

MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied AI and Machine Learning experience, familiarity with large language models Experience with Distributed Systems, Kubernetes, cloud platforms (AWS, GCP, Azure) Open source involvement or community presence More ❯

Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with public cloud providers such as AWS, GCP, or Azure Open source involvement or community presence More ❯

in IAM, endpoint security, and data protection technologies, with proven ability to design and scale global solutions. Experience with security engineering in hybrid and cloud-native environments (AWS, Azure, GCP). Proven track record in automating security controls, implementing zero-trust models, and supporting 24x7 security operations. Strong understanding of compliance frameworks and risk management strategies. Preferred Qualifications: Certifications such More ❯

etc, and ensure our systems adhere to these standards Conduct security awareness training sessions, enabling the business. Who you are Cloud security enthusiast - You're comfortable navigating AWS and GCP environments (Azure experience is a plus), especially in multi-region and data-rich setups Security-minded problem solver - You have hands-on experience with firewalls, SIEM tools, vulnerability scanners, and More ❯

advancing the organization's cloud security capabilities. The successful candidate will lead the design, implementation, and continuous improvement of cloud security across multi-cloud platforms-primarily Google Cloud Platform (GCP) and Microsoft Azure. This role is essential in ensuring that all cloud infrastructure, services, and data remain protected, compliant, and resilient against emerging cyber threats. Working within the broader technology … for policy enforcement, incident response, security tooling, and embedding security across the development lifecycle. Key Responsibilities: Develop, implement, and maintain comprehensive cloud security policies, standards, and technical controls for GCP and Azure environments. Configure, manage, and optimize native cloud security tools such as GCP Security Command Center, Cloud IAM, VPC Service Controls, Azure Security Center, Microsoft Defender for Cloud, and … protection and access management. Desirable Skills and Experience: 6+ years of experience in cloud security, information security, or related technical roles. Proven hands-on experience securing Google Cloud Platform (GCP) , with in-depth understanding of its security services and capabilities. Strong knowledge of Azure and Microsoft 365 cloud security controls and best practices. Deep understanding of cloud security architecture , the More ❯

learning, networking, security, storage, DevOps, containers, serverless, CI/CD, management and monitoring, cloud migrations, IT transformation. - Experience architecting/designing solutions ideally built on the cloud (AWS, Azure, GCP). - Experience migrating or transforming legacy solutions to the cloud. - Demonstrated ability to adapt to new technologies and learn quickly. Our inclusive culture empowers Amazonians to deliver the best results More ❯