1 to 25 of 89 GCP Jobs in the City of London

experience delivering cloud-native, microservices-based applications in enterprise environments. What You'll Do Design, build, and maintain secure, scalable, cloud-native platforms using modern cloud technologies (AWS, Azure, GCP). Develop and support microservices-based applications using Java, Node.js, and Python. Implement containerised solutions and orchestration frameworks such as Docker and Kubernetes. Collaborate with architects, engineers, and product teams More ❯

of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication: Ability to deliver dynamic training sessions and tailor communication to different audiences. Coaching More ❯

CACI Network Services is a rapidly expanding specialist IT and Networks consultancy offering a wide variety of opportunities to work within challenging and exciting environments with our major clients in Global Media, Banking, Government, Telecoms & Utilities. Project Overview: Our customer More ❯

Experience with CI/CD pipelines (Jenkins, GitLab CI, or similar). Knowledge of financial data protocols (e.g., FIX, SWIFT) is advantageous. Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. More ❯

implementation of cloud-based solutions across AWS, Azure, and OCI platforms. What you get to do: 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 ❯

JAVA/J2EE, XML Good knowledge on performing performance tests for ForgeRock CIAM, IDM, AM, DS, and its components Excellent communication skills and ability to work with global counterparts. GCP knowledge experience should mandatory to have Knowledge on implementation of LDAP, Active Directory based Authentication. Design Experience, including data modelling, demonstrable experience interpreting requirements and producing design artefacts for implementation … by development teams. Java 8 and higher; Spring boot (preferable); RDBMS (Oracle, Postgres) Desired; Micro services; Kubernetes Google Cloud Platform (GCP) or any other cloud GKE Cloud SQL Cloud Functions GCS and Labelling Pub Sub and Dataflow Big Query Terraform; GitHub Workflow & Actions; Postgres Performance design (We are migrating from Oracle to Postgres); An understanding of authentication protocols, MTLS and More ❯

is looking for a 2:1 or above in Computer Science, Engineering, Mathematics, or similar and at least ABB at A-Level Familiarity with cloud services and infrastructure (AWS, GCP, Azure) Knowledge of CI/CD pipelines and version control tools such as Git Strong problem-solving skills and the ability to communicate effectively with both internal and external technical … API Integration/Cloud Engineer/OAuth/SAML/Webhooks/Microservices/REST APIs/CI/CD/Git/Docker/Kubernetes/AWS/GCP/Azure/Computer Science Graduate/B2B Software/Integration Pipelines/Software Deployment RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above More ❯

Qualifications: • Exposure to mobile application development lifecycle, backend-for-frontend (BFF) patterns, and mobile performance optimization. • Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain-driven design (DDD). • Agile development experience using tools like Jira More ❯

London) with a strong delivery and solutions back ground in Data Analytics and Cloud. The ideal candidate should have expertise in next-gen data technologies such as Microsoft, AWS, GCP, Snowflake, and Databricks. Sales, Delivery, Presales, Solutioning experience is mandatory within Data Analytics alongside with the ability to deliver cloud-based enterprise platforms and data consulting skills is a must. … Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache Spark, Beam or equivalent … Good written and verbal communication skills. A minimum of 5 years’ experience in a similar role. Ability to lead and mentor the architects. Mandatory Skills [at least 2 Hyperscalers] GCP, AWS, Azure, Big data, Apache spark, beam on BigQuery/Redshift/Synapse, Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF Desirable Skills More ❯

on data products. Data Expertise: Deep understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management More ❯

and regulatory standards Lead architectural reviews and provide technical guidance on cloud solutions Stay current with emerging cloud technologies and advise on adoption strategies Use tools like AWS, Azure, GCP, Terraform, Kubernetes, Docker, Jenkins, Ansible , and others Requirements Minimum Bachelors degree in Computer Science, Information Systems, or a related field Proven experience as a Cloud Architect or similar senior cloud … infrastructure role (minimum 1 year ) Deep knowledge of cloud platforms (AWS, Azure, or GCP) and their core services Proficiency with infrastructure as code (Terraform, CloudFormation, etc.) Experience designing and securing distributed systems at scale Familiarity with CI/CD , containerization , and cloud cost optimization strategies Bonus: Certifications such as AWS Certified Solutions Architect, Azure Architect Expert, or GCP Professional Cloud More ❯

large-scale cloud transformation and data-driven decision-making. You will lead architecture design, influence enterprise data strategies, and guide technical delivery across cloud ecosystems like Azure , AWS , or GCP . This role also involves significant pre-sales engagement—translating client requirements into solution blueprints and supporting proposal development. Key Responsibilities Architect and oversee the delivery of enterprise-scale data … warehousing, and analytics, including 4+ years in solution architecture roles Significant experience in the banking sector (commercial, retail, investment, or regulatory) Strong background in cloud technologies (Azure, AWS, or GCP) and modern data stack Experience with enterprise data modelling and business intelligence tools such as Power BI , Tableau , or QlikView Proven leadership in both delivery and client advisory contexts Cloud … certification (Azure, AWS, or GCP) is a strong advantage This is a unique opportunity to play a key role in driving data transformation for some of the world’s leading financial institutions. If you’re ready to lead impactful change in enterprise data, we’d love to hear from you. Reach out to Marley Taylor at Tenth Revolution Group for More ❯

progress and report transparently. Ensure comprehensive technical documentation. Qualifications 5+ years of experience in technical project management for cloud and web applications. Strong knowledge of cloud platforms (AWS, Azure, GCP) and modern infrastructure. Experience with DevOps principles, CI/CD pipelines, and containerization (Docker, Kubernetes). Ability to manage multiple projects in a fast-paced environment. Strong collaboration skills with More ❯

My London Market insurance client are looking for a Technical Lead (In Ops- ServiceNow) specializing in core ServiceNow modules such as App Engine, IT Service Management (ITSM), IT Operations Management (ITOM), Security Operations (SecOps), and HR Service Delivery. Strong understanding More ❯

Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake , Airflow Solid grasp of data modelling, orchestration, and infrastructure-as-code (Terraform, Docker, CI/CD) Excellent communication and client-facing More ❯

in the UK (we are unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimental design, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £35,000 – £45,000 plus More ❯

Senior Enterprise Architect to work with them on a contract who will play a pivotal role in designing, implementing, and managing our cloud infrastructure across Azure, Google Cloud Platform (GCP) and our hybrid multi cloud environment. The responsibilities of a Senior Enterprise Architect will include: Lead and influence the delivery of cross-cutting capabilities that enable change Consult and support … technology and data decisions are aligned with enterprise architecture strategy Identify emerging trends and their potential impact and opportunity for the bank Design and architect cloud solutions leveraging Azure, GCP and hybrid multi cloud models to meet business and regulatory requirements Develop and maintain cloud architecture frameworks, standards and best practices Recommend options for optimising cloud infrastructure for performance, security … cloud architectures and configurations The successful Senior Enterprise Architect will have: Proven experience (typically 5-10 years) as an Enterprise Cloud Architect with hands on experience in Azure and GCP Deep understanding of cloud computing concepts including IaaS, PaaS and SaaS Expertise in designing and implementing hybrid multi cloud solutions including appropriate Identity and Access Management options Experience of TOGAF More ❯

building systems that can scale and recover gracefully. You’ll have the space to experiment and the responsibility to stabilise when it counts. You’ll work across AWS and GCP, using a modern, containerized, event-driven stack. From real-time data processing to batch workflows, from APIs to backend services, you’ll help evolve our data fabric — the foundation for … time, event-driven, and batch data pipelines using Python. -Develop and deploy containerized microservices using Docker, running in ECS Fargate or similar cloud-native environments. -Work across AWS and GCP, leveraging services like Lambda, Kinesis, SQS, EventBridge, AWS Batch, Spark, and BigQuery to power cross-cloud data products. -Build and integrate with RESTful APIs to expose data services and connect … and testable code - you’ve likely worked with pytest and TDD where it makes sense. -Cloud Fluency: Solid experience with AWS (especially Lambda, Kinesis, SQS, EventBridge) and familiarity with GCP, including BigQuery. -Containerisation: Comfortable building and deploying containerised applications using Docker, ideally in ECS Fargate or similar. -APIs & Microservices: Hands-on experience building and integrating with RESTful APIs using FastAPI More ❯

A/B testing and statistical analysis to validate approaches Document ML systems and provide support for ongoing performance tuning Use tools like Python, TensorFlow, PyTorch, Scikit-learn, AWS, GCP, MLflow, Docker, SQL , and others Requirements Minimum Bachelors degree in Computer Science, Machine Learning, AI, or a related field Proven experience as a Machine Learning Engineer or in a similar … ML frameworks (e.g., TensorFlow, PyTorch) Experience deploying machine learning models into production environments Solid understanding of data structures , algorithms , and statistical learning Familiarity with cloud platforms (AWS, Azure, or GCP) and ML pipeline orchestration Bonus: Experience with deep learning , NLP , recommendation systems , or computer vision Excellent problem-solving, communication, and documentation skills Benefits 100% REMOTE Working with a US company More ❯

skills (and curiosity about other modern languages) Experience with SQL and database schema design Track record building secure systemsMFA, RBAC, encryption, privacy by design Familiarity with cloud platforms (AWS, GCP, or Azure), Docker, and CI/CD workflows Thoughtful communicator, especially in distributed teams Startup mindset: proactive, adaptable, comfortable with ambiguity Bonus: experience with healthcare data, compliance, or enterprise deployments More ❯

analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn more. 🗣️ Strong communication skills to share findings clearly with both technical and non More ❯

GCP Data Analyst - Looker ML + BigQuery + Dashboard Experience Location: Heathrow ( Hybrid 2 X Week Onsite ) Rate: £550 Inside IR35 We are seeking a talented Data Analyst with expertise in utilising Google BigQuery and Google Cloud Platform (GCP) for data analysis and insights generation. The ideal candidate should have a strong analytical mindset, proficiency in dashboards, querying and manipulating … ability to translate complex data into actionable insights that drive business decisions. Candidate Specification What you’ll bring Proven experience as a Data Analyst, with a focus on utilising GCP services and BigQuery for data analysis. Proficiency in SQL and experience in writing complex queries for data extraction and transformation. Strong understanding of data modelling concepts and data warehousing principles. More ❯

hybrid cloud solutions . ✅ Hands-on expertise with CI/CD, Infrastructure as Code, cloud-native security, and FinOps . ✅ Deep knowledge of at least one hyperscaler (Azure, AWS, GCP) and modern tech stacks. ✅ Strong leadership, problem-solving, and client-facing communication skills. 🎯 Why This Role? Work on high-profile cloud transformation initiatives with major enterprises. Access cutting-edge tech More ❯

years of experience in Platform Engineering, Cloud Engineering, or DevOps Hands-on experience in DevSecOps, Site Reliability Engineering (SRE), or Agile Delivery Strong cloud expertise in AWS, Azure, or GCP Proficiency in Infrastructure as Code (IaC) using Terraform, GitHub, and Ansible A solid understanding of cloud security, networking, and scalability principles Experience working in Agile environments and contributing to continuous More ❯

or matrixed organisation . Proven expertise in modern BI architecture (Data Lake, EDW, Streaming, APIs, Real-Time & Batch Processing). Demonstrated experience delivering cloud-based analytics platforms (Azure, AWS, GCP). Strong knowledge of data governance, cataloguing, security, automation, and self-service analytics. Excellent leadership and team management skills across distributed and cross-functional teams. Strong communication and change management More ❯