1 to 25 of 163 GCP Jobs in Central London

entity-resolution solutions across multiple data sources Distributed computing for data intensive work such as Spark and Databricks Cloud platforms including AWS, Azure and GCP Orchestration tools like Airflow Modern DevOps practices including version control, CI/CD, and infrastructure as code using Terraform or Kubernetes Experience building scalable backend ...

prototyping, solution shaping, pilot execution, adoption measurement, and production handoff to receiving teams. Extensive experience with major cloud platforms such as AWS, Azure, or GCP, including serverless, containerization, managed services, automated deployment, monitoring, and cloud security standards. Experience designing cloud-based AI solution architectures that integrate managed AI services ...

engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed computing frameworks ...

Kubernetes Cloud‐native experience building and operating services on at least one public cloud provider such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform Proficiency in automation and continuous delivery methods Understanding of agile practices including continuous integration, continuous delivery, application resiliency, and security Ability to evaluate technical ...

lead and manage cloud-based initiatives, ensuring seamless execution and delivery. The ideal candidate will have deep expertise in cloud platforms (AWS, Azure, GCP) , strong project management skills, and the ability to collaborate with cross-functional teams to drive digital transformation. Key Responsibilities Project Management & Delivery Lead ...

payments, and fulfilment systems Proficiency in Python, agent frameworks, vector databases, APIs/microservices, distributed systems Cloud delivery on AWS, GCP, or Azure; CI/CD and cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI ...

serving patterns (e.g., REST APIs, batch inference, event-driven) Experience with orchestration tools (e.g., Airflow, Dagster) and cloud-native ML platforms (e.g., AWS SageMaker, GCP Vertex AI) Ability to influence decision-making regarding infrastructure and tooling, balancing 'build vs. buy' discussions Strong knowledge of Infrastructure as Code (Terraform) and containerization ...

consulting environments. Ability to manage multiple engagements and competing priorities. Highly organised with strong attention to detail and quality. Highly Desirable Experience with Google Cloud Platform or multi-cloud environments. Exposure to attack path analysis, exposure management or cyber risk quantification platforms. Experience of cloud penetration testing, red teaming ...

engineering practices Strong architecture governance and stakeholder management skills Experience leading engineering transformation programmes within complex enterprise environments Cloud architecture certifications (AWS, Azure, or GCP) Kubernetes/container platform expertise Experience with DORA metrics, Value Stream Management, or Flow Metrics Exposure to AI-enabled engineering platforms Financial Services, Insurance ...

ability to work effectively in a team environment and learn from senior members. Cloud and MLOps Exposure: Basic familiarity with a cloud platform (AWS, GCP, or Azure) and an awareness of concepts like containerization (Docker). Core ML Knowledge: A good grasp of fundamental machine learning concepts, including supervised/ ...

allocation-free design, and libraries such as Aeron, Chronicle or the LMAX Disruptor. Event streaming (Kafka or similar), Kubernetes, and public cloud (AWS/GCP/Azure). Welcome, but not required Experience with Python, or with lower-level languages such as C++ or Rust, is an advantage - particularly ...

consulting experience preferred Experience working with dimensionally modelled data Bachelor's degree or equivalent experience, Master's Degree Preferred Understanding of cloud (Azure, AWS, GCP, Snowflake preferred) and on premises architectures Experience in data analysis and profiling Strong data warehousing and OLTP systems from an integration perspective Strong understanding ...

4+ years in platform, DevOps, SRE or infrastructure engineering, with time spent supporting other engineering teams. Strong hands‐on cloud experience (AWS, Azure or GCP) and infrastructure‐as‐code (Terraform, Pulumi or similar). Kubernetes and containers in production, including deployment patterns, scaling and troubleshooting. CI/CD design ...

networking, and storage for high‐throughput training workloads. Serve as the authoritative AI infrastructure expert in at least one hyperscaler cloud (AWS, Azure, or GCP), applying deep knowledge of its AI/ML services, accelerators, networking, and cost levers. Design deployment, automation, and CI/CD strategies for reliable, repeatable ...

lifecycle reporting. Infra & Cloud Skills * Active Directory, Entra ID, Windows Server and Group Policy. * Linux administration and OpenSSL/key-store troubleshooting. * Azure, AWS & GCP certificate and key-management services. * Kubernetes, containers, ingress controllers, service identities and cert-manager or equivalent. * DevOps and CI/CD integration, including Git-based ...

/EDI MFT Integrations Integration Patterns and Enterprise Architecture OAuth, SAML, JWT, Security Best Practices CI/CD, DevOps Cloud Platforms (AWS, Azure, GCP) Preferred Skills SAP, Salesforce, Oracle, Workday integrations Kafka/Event Streaming Apigee, MuleSoft, Azure API Management Microservices, Docker, Kubernetes Required Skills & Experience Senior experience in Integration ...

Python and SQL code via Git, promoting code quality, security, and adherence to engineering standards Support cloud-based deployments and infrastructure (e.g. Azure, GCP), leveraging Linux scripting and advanced Docker skills including storage, volumes, and permissions Develop and implement database solutions using SQL and Cloud platforms, with a focus ...

comparable). Proven ability to design and deliver cloud-native and hybrid-cloud solutions across platforms such as AWS, Azure, OCI, or GCP, including Kubernetes, container platforms, and CI/CD pipelines. Strong understanding of microservices, event-driven systems, API governance, domain-driven design, and enterprise integration architectures. Clear communicator ...

Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores ...

they are being adopted to connect AI agents with enterprise commerce systems and product data Working knowledge of cloud platforms (AWS, GCP, or Azure) for AI deployment, including familiarity with cloud-native services and CI/CD-based delivery practices Understanding of AI governance and responsible AI principles — including observability ...

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 ...

Azure and GCP. We’re interested to hear from Data Architects with experience across the majority of leading vendors including Azure, AWS, Google Cloud Platform, Databricks, Snowflake and more. Benefits Health and lifestyle perks including private healthcare for you and your family 25 days annual leave (plus a bonus half ...

need Breadth of experience in architecture in Markets/Investment banking High level understanding of cloud architecture. We use Azure, but AWS or GCP experience is also desirable. You should be able to explain concepts clearly and engage a wide range of partners to implement them. Strong experience in shaping ...

possess: Business level French language skills Python fluency, CLI comfort, and experience building with tools like Docker Familiarity with cloud-native data architectures (AWS, GCP, or Azure) Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery ...

Enterprise integration: Integrating AI into enterprise systems via APIs and data pipelines, with strong security, data governance and residency practices. Cloud: AWS, Azure or GCP, including managed AI/ML services. Delivery: Agile, CI/CD, modern SDLC and TDD. Data and architecture: Modelling across relational, columnar and vector stores ...