76 to 100 of 298 GCP Jobs in the South East

services, infrastructure automation, and cloud-native solutions by utilising your software development knowledge and your DevOps proficiency across AWS and GCP. Desired Skills: Golang GCP, AWS Kubernetes (cloud-native), Terraform This is a great opportunity for a Senior Software Engineer who: Has experience building cloud-native software and platform solutions ...

services, infrastructure automation, and cloud-native solutions by utilising your software development knowledge and your DevOps proficiency across AWS and GCP. Desired Skills: Golang GCP, AWS Kubernetes (cloud-native), Terraform This is a great opportunity for a Senior Software Engineer who: Has experience building cloud-native software and platform solutions ...

services, infrastructure automation, and cloud-native solutions by utilising your software development knowledge and your DevOps proficiency across AWS and GCP. Desired Skills: Golang GCP, AWS Kubernetes (cloud-native), Terraform This is a great opportunity for a Senior Software Engineer who: Has experience building cloud-native software and platform solutions ...

Lake; Unity Catalog desirable). Solid understanding of data modelling, data warehousing, and distributed systems. Experience with cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have ...

experience building pipelines with Matillion Advanced SQL skills and solid understanding of ELT best practices Experience working with cloud data architectures (AWS, Azure, or GCP) Familiarity with version control systems (e.g., Git) Strong problem-solving skills and attention to detail Ability to communicate clearly with technical and non-technical stakeholders ...

role involves integrating AI models into production environments and optimizing data pipelines for efficiency and scalability. You'll work with cloud platforms such as GCP, implement CI/CD workflows, and maintain high standards of code quality and documentation. Experience with microservices architecture, containerization tools like Docker and Kubernetes ...

Tech Stack Python 3.x FastAPI/Flask/Django REST APIs, async Python PostgreSQL/MySQL/Redis Docker, Kubernetes AWS/Azure/GCP CI/CD, automated testing If you're a Senior Python Developer who wants challenging work, modern tools, and the freedom that comes with contract ...

Data product or SaaS company You have indepth technical knowledge of Python for data workflows, SQL and Data Modelling, DBT, Cloud platforms (AWS, GCP or Azure), Workflow Orchestration tools (e.g. Airflow, Dagster, Prefect, DBT Cloud), CI/CD (GitHub Actions, GitLab CI, CircleCI) You have experience of leading technical deployments ...

years of professional experience. Deep understanding of the Android ecosystem. Cloud & Architecture (Must Have): Experience working with at least one major cloud provider (AWS, GCP, or Azure) and a solid grasp of system architecture (designing APIs, selecting databases, and high-level system flow). While you don't need ...

CWEs, common software vulnerability types SAST, SCA, and DAST, including the strengths and weaknesses of each At least one major cloud provider (e.g. AWS, GCP, Azure) REST API design HTTP Authentication Linux at the terminal, including scripting and automation (e.g. shell, Python) Some other highly valued skills may include: Experience ...

version control, and system design Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX) Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes) Solid understanding of ML fundamentals (model training, evaluation, common architectures) Desired Skills (Bonus Points) Experience with MLOps tooling (MLflow ...

data science , machine learning, and predictive modelling. Background in data engineering (ETL pipelines, streaming tech like Kafka). Familiarity with cloud platforms (AWS, Azure, GCP). Excellent communication skills for technical and non-technical stakeholders. Exposure to financial services or willingness to learn fixed income and electronic trading. Typically ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.) Docker ...

based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience in ML/AI (feature engineering, MLOps, model monitoring), automation ...

actionable insights. Experience using common ML libraries (e.g. scikit-learn, PyTorch, TensorFlow, or similar). Exposure to cloud-based data or ML platforms (AWS, GCP, Azure or similar). Strong data visualisation and communication skills, with the ability to present insights clearly to technical and non-technical stakeholders. Product-focused ...

NoSQL experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents ...

As a Senior Site Reliability Engineer, you will be responsible for supporting high-throughput systems that serve millions of customers and billions of requests each month. You'll work on complex hybrid-cloud architectures, with ...