1 to 25 of 111 GCP Jobs in the City of London

candidate will meet all of the following essential criteria: Demonstrable experience in designing large scale cloud migration projects/programmes with open source and commercial software within AWS, Azure, GCP or hybrid Experience in operating within a multi-disciplined team and clearly communicating complex technology solutions to technical and non-technical people Experience designing event processing and async messaging architectures More ❯

infrastructure AWS Azure etc and virtualization Soft Skills Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

infrastructure AWS Azure etc and virtualization Soft Skills Excellent communication presentation and stakeholder management skills Strong analytical thinking and complex problemsolving capabilities Good to have Qualifications Genesys Certified Professional GCP or Genesys Certified Expert GCE Experience with AI machine learning Copilot and customer experience analytics Familiarity with AgileScrum methodologies Experience in global contact center implementations and largescale deployments More ❯

knowledge of Java or Scala is a plus Solid experience with relational databases and data modelling (Data Vault, Dimensional) Proficiency with ETL tools and cloud platforms (AWS, Azure or GCP) Experience working in Agile and DevOps environments Knowledge of AI/ML applications in data workflows is desirable Familiarity with visualisation tools like Power BI, Tableau, or Qlik More ❯

Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and More ❯

Staff Engineer (or equivalent) role within a fast-moving, product-led organisation and product engineering mind set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and 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 : £40,000 – £45,000 plus More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

Experience: 10+ years architecture design/7+ years in software engineering. Knowledge of GenAI operations (ideally, experience governing AI models in production environments) Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems. Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering. Proven ability to engage directly with CxO-level stakeholders. Experience in MLOps, AI More ❯

testing, and documentation. Solid experience with Apache Airflow for workflow orchestration and scheduling. Proficiency in Python for data manipulation, scripting, and automation. Experience with cloud platforms (e.g., AWS, Azure, GCP) and relevant data services. Understanding of data warehousing concepts, dimensional modeling, and ELT principles. Familiarity with data quality, governance, and security best practices. Excellent problem-solving, analytical, and communication skills. More ❯

testing, and documentation. Solid experience with Apache Airflow for workflow orchestration and scheduling. Proficiency in Python for data manipulation, scripting, and automation. Experience with cloud platforms (e.g., AWS, Azure, GCP) and relevant data services. Understanding of data warehousing concepts, dimensional modeling, and ELT principles. Familiarity with data quality, governance, and security best practices. Excellent problem-solving, analytical, and communication skills. More ❯

Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Direct experience in the gambling/gaming industry Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity to shape More ❯

Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential): Direct experience in the gambling/gaming industry Familiarity with cloud platforms (Azure, AWS, or GCP) Exposure to C# or other complementary programming languages Benefits: 💰 Competitive Salary & Bonus: Competitive salary plus quarterly bonus 🌍 Flexibility: London HQ, remote, or hybrid (with reliable internet) 🚀 Growth: Opportunity to shape More ❯

timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments More ❯

timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks such as Airflow/Flyte/Temporal) Hands-on cloud engineering experience (AWS, GCP, or Azure) Strong software engineering fundamentals, with a track record of writing maintainable, testable, and extensible code Familiarity with ML infrastructure and prior experience supporting ML teams in production environments More ❯

of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have Experience with transformer More ❯

of building and deploying ML models in production environments. Knowledge of MLOps tools (e.g., MLflow, Kubeflow, Docker, Kubernetes, or similar). Experience working with cloud platforms (AWS, Azure, or GCP). Solid understanding of CNNs, object detection, segmentation, and image classification. Strong problem-solving skills and ability to work in a hybrid, collaborative environment. Nice to Have Experience with transformer More ❯

with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯

with large Tier 1 banks, insurance organizations, and investment banks dealing with AML, KYC, fraud, and more. Experience building robust, scalable compliance architectures using cloud data platforms (AWS, Azure, GCP) and integrating with financial systems. Demonstrated knowledge in compliance model training, fine-tuning, and deployment, including data pipeline integration. Proficiency in designing compliance systems capable of autonomous decision-making and More ❯

level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI-driven industries such as AI drug discovery, AdTech, ML health-tech, research labs, or high-end finance. Independent, self More ❯

in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in More ❯

in CI/CD tools such as GitHub Actions, Jenkins, or DroneCI. Experience with configuration as code tools like Terraform, or Cloudless. Strong knowledge of cloud platforms (AWS, Azure, GCP). Familiarity with containerization technologies (Docker, Helm/Kubernetes). Scripting skills in languages such as Python, Bash, or PowerShell. Understanding of networking, security, and system administration. What’s in 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 ❯

guide the DevOps and application development teams Core Competencies Skilled in designing distributed, event driven systems Platform and application development Has recently designed services that reside on AWS, Azure, GCP or hybrid environments Has the ability to work in and has strong knowledge of agile development and modern CD/CI approaches Understands how security design is integrated into the More ❯

distributed systems (e.g. Hadoop, AWS, Kafka). Experience with SQL/NoSQL databases (e.g. PostgreSQL, Cassandra). Familiarity with orchestration tools (e.g. Airflow, Luigi) and cloud platforms (e.g. AWS, GCP). Passion for solving complex problems and mentoring others. Package: Salary from £(phone number removed) depending on experience Remote-first with flexible working options Unlimited annual leave Private medical insurance More ❯