1 to 25 of 36 GCP Jobs in the North East

tooling: Cursor, Windsurf, GitHub copilot • AI powered platform development: Lovable, Replit, Bolt • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines • Data Integration: Products integrating ML/AI models, databases, BI tools • UI/UX Awareness: Collaborate on interfaces, data visualisation ...

proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern software development practices. Knowledge of technologies such as microservices, containerisation (Docker ...

multiple programming languages such as Python, JavaScript, or similar. Extensive experience writing well-tested code. Good knowledge of cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code Experience with CI/CD pipelines and automated testing frameworks. Experience with various architecture patterns eg microservices and event-driven. Experience with ...

reliable and scalable back-end systems with an object-oriented language. Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana). Strong ownership mindset ...

language models. Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning. Familiarity with cloud AI/ML services (Azure Cognitive Services, AWS SageMaker, GCP Vertex AI). Experience deploying and monitoring AI workloads in CI/CD environments (Jenkins, Docker, Kubernetes, AWS). Ability to design data pipelines, APIs ...

About You Professional knowledge and experience Essential Proven experience in data engineering, data integration and data modelling Expertise with cloud platforms (e.g. AWS, Azure, GCP) Expertise with modern cloud data platforms (e.g. Microsoft Fabric, Databricks) Expertise with multiple data analytics tools (e.g. Power BI) Deep understanding of data wareho using ...

Jira Artifact repositories such as Artifactory Deployment tools including Octopus Deploy Static analysis tools such as SonarQube Control-M Cloud platforms ( Azure, AWS, or GCP ) VMware (vSphere) and SAN technologies Why Join? This DevOps Engineer opportunity offers: The ability to make a meaningful impact from day one Ownership of critical ...

techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices. Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices. Familiarity with higher education processes and integrations across ...

pipelines, ML workflows, and analytics platforms. Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps ...

code quality and analysis tools (e.g., SonarQube). Background with job scheduling platforms such as Control-M. Experience with major cloud providers (Azure, AWS, GCP). Familiarity with VMware (vSphere) and storage area networks. Previous experience in financial services would be advantageous, though not a requirement. This is an exceptional ...

architecture Data modelling, cataloguing, and associated governance Data lakes, distributed storage Metadata management Cloud & Platform Architecture Proficient in AWS, but familiarity with Azure/GCP also useful Strong understanding of cloud computing principles (and ideally the AWS core services that deliver them) IaC literacy (ideally Terraform) Software Architecture Microservices, monoliths ...

will work across cutting‐edge platforms including Payment Networks, Digital Banking, Emerging Payments, and highly scalable data and analytics environments built on Google Cloud Platform, Data Lakes and Power BI. This role involves modern engineering, integration, testing, and hands‐on development within a high‐impact digital landscape. Key Responsibilities Code ...

including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data modelling concepts (e.g., medallion architecture) and ensure data quality and governance. Collaborate with DevOps teams to automate CI/ ...

methods (linear, mixed‐integer, reinforcement learning desirable). Strong SQL and practical experience with production‐ready data pipelines. Experience working with cloud environments (AWS, GCP, or Azure). Energy and Market Experience (Highly Desirable) Understanding of electricity markets, PPAs, forecasting, imbalance settlement, or asset telemetry. Experience with data sources such ...

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 ...

environment using FastAPI, Flask or Django • React or a modern JavaScript framework on the frontend • API design and integration • Cloud platforms such as AWS, GCP or Azure • Testing, code quality and production readiness • Collaborating with engineers, product and design teams It would be great if you also have experience with ...

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 ...

Looking For: Strong grounding in software engineering with experience working across full lifecycle development. Solid experience with cloud platforms (e.g., AWS, Azure, GCP), ideally including infrastructure-as-code tooling. Working knowledge of observability/monitoring platforms and best practices. Familiarity with CI/CD processes, build pipelines, and automation. Ability ...

Requirements* Hands-on experience in a DevOps, SRE, or similar role.* Strong proficiency with at least one major cloud provider (AWS, Azure, or GCP).* In-depth knowledge of container orchestration.* Demonstrable experience with CI/CD tools like Jenkins, GitHub Actions, or Azure DevOps.* Expertise in using tools like ...

model development, deployment decisions, and agentic AI design choices. Contribute to best practices in ML lifecycle management and agentic system governance. Experience with other GCP services like Cloud Storage, Dataflow, or Vertex AI is a plus. Required Skills & Qualifications: Bachelor's or Master's degree in a quantitative field such ...

happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You have a good knowledge of modern software engineering best practices and have experience across the full software development lifecycle You have a thorough understanding ...

Working knowledge of cloud based web and email filtering solutions such as , Zscaler, Mimecast, Proofpoint, or Cisco. Experience with securing cloud environments (AWS, Azure, GCP), including configuration management, identity and access controls, monitoring, and incident response. Familiarity with cloud security tools (e.g., Microsoft Defender for Cloud, AWS Security ...

growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS, GCP, Azure). Entrepreneurial mindset – able to make technical decisions in a fast-moving, ambiguous environment. Excellent communication skills and comfortable collaborating directly with founders. Experience ...

London/Hybrid (3+ days in office preferred) Type: Permanent, full-time Industry: Data/AI/Financial Services Tech: Python, Cloud (AWS, Azure, GCP), CI/CD Working model: Small, founder-led engineering team Salary: £90,000 - £120,000 DOE and open for discussion with the right candidate + ...

across systems. Essential Skills & Experience Programming: Proficient in Python and/or Spark for data processing. Cloud: Experience with cloud platforms (AWS, Azure, or GCP). SQL: Strong SQL skills for querying and data manipulation. Data Modelling: Understanding of data modelling concepts and best practices. Ability to grasp fundamentals ...