101 to 125 of 458 GCP Jobs in the UK excluding London

should be comfortable with: Production-level Python, including OOP, unit testing and TDD. FastAPI or Flask. ML deployment, monitoring and model lifecycle management. Azure, GCP or AWS. Terraform or another infrastructure-as-code tool. Docker, CI/CD and Git-based development. API monitoring, logging and production support. Working with ...

development SQL and database design Oracle experience Unix or Linux JUnit and automated testing Git version control Kafka or RabbitMQ (desirable) AWS, Azure or GCP exposure (desirable) CI/CD and DevOps practices Excellent communication skills Experience mentoring developers and leading technical initiatives McGregor Boyall is an equal opportunity employer ...

LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Pinecone Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with one or more: AWS Microsoft Azure Google Cloud Platform (GCP) Enterprise Data Data Engineering Data Platforms ETL Vector Databases Enterprise Search Semantic Search Knowledge Graphs OCR Document Processing SQL NoSQL Streaming Data Software Engineering Strong ...

Experience designing and scaling cloud-based data platforms. Strong knowledge of ETL/ELT, data modelling and distributed processing. Experience with Azure, AWS or GCP environments. Previous team leadership or mentoring experience. Strong stakeholder management and communication skills. Apply Now This is a rare opportunity to join a business ...

Actions, or Octopus Prioritises code quality, testing, and standards as a given Familiar with Kubernetes patterns, ArgoCD with Crossplane , secrets management, and multi cloud (GCP/Azure) Good understanding of observability (e.g. New Relic) and what "good" looks like in production Able to set direction, not just follow - comfortable working ...

setting up containers environments for assessing new security tools functionality and onboarding requirements. Experience of working with containers (Kubernetes/other container orchestration; AWS, GCP, Azure, AliCloud). Experience of working on cloud platforms e.g. deploying cloud workloads and infrastructure. Experience in automation script e.g. Terraform, cloud formation, helm charts ...

maintaining scalable ETL and ELT pipelines. Strong understanding of data modelling and modern data architecture principles. Experience working with Azure, AWS and/or GCP cloud platforms. Knowledge of Git, CI/CD, DevOps practices, and deployment workflows. Experience improving engineering standards, processes, and team capabilities. Ability to work effectively ...

strong background in AWS, cloud integration and event-driven architecture. The organisation is actively embracing AI and agentic services, primarily within AWS, with some GCP involvement. You will play a key role in developing and enhancing a cloud-native middleware platform, building robust system-to-system integrations across a growing ...

knowledge in one or more technical disciplines Ability to design and implement effective cybersecurity and technology controls Subject matter expert-level knowledge of Google Cloud Platform, Azure, and/or AWS with how controls are applied to secure data and maintain availability. Good knowledge of cloud services such as PaaS ...

contribution, leading solution design, validating architectural approaches, tackling complex technical challenges and supporting teams through key delivery initiatives. Technical Environment React, NestJS, Cloud Platforms (GCP/Azure), Micro Frontends, CI/CD, Automated Testing, Docker, Kubernetes, Helm, Terraform, Security Best Practices and Modern Engineering Practices. Key Responsibilities Provide technical leadership ...

Science, Data Science, AI, or a related technical discipline. Professional certifications in data, AI, or architecture frameworks (e.g., TOGAF, DAMA, Azure/AWS/GCP AI) are desirable. Benefits: Pension Scheme - contributions matched up to 10% Private medical cover Income Protection Life Assurance 25 days paid leave + National Holidays ...

recently active (lapsed within the last 12 months) UK SC or DV Clearance . Deep experience architecting and deploying solutions on AWS (exposure to GCP or Azure is a plus). Strong background in TypeScript/JavaScript and Node.js for backend systems. Solid hands-on knowledge of Terraform, CloudFormation ...

Banking or regulated Financial Services experience * Knowledge of modern cloud data platforms and AI technologies * Excellent consulting and communication skills Experience with **Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python and SQL** is desirable, along with **Agile or SAFe** delivery and tools such as **Jira** and **Confluence**. Why Apply ...

Banking or regulated Financial Services experience * Knowledge of modern cloud data platforms and AI technologies * Excellent consulting and communication skills Experience with **Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python and SQL** is desirable, along with **Agile or SAFe** delivery and tools such as **Jira** and **Confluence**. Why Apply ...

. GPU Optimisation: Experience configuring GPU resources for Machine Learning (PyTorch/TensorFlow) and molecular dynamics. Cloud Proficiency: Practical experience with AWS, Azure, or GCP, specifically regarding hybrid workloads or cloud migration. Why This Role? This is not a "siloed" IT position. You will have a direct seat ...

part of data engineering teams and independently. Line/Team management experience, leadership experience Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) You have framework experience within either Flask, Tornado or Django, Docker Experience working ...

Docker, Terraform, GitHub, Jenkins, development and deployment in a cloud environment SQL TDD/BDD Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) Experience in unit testing frameworks (Karma, Jasmine or others) Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual ...

agentic AI, into production environments. Integrate data from diverse sources through both streaming and batch ingestion using technologies such as Azure Data Factory, GCP Dataflow and AWS services. Creating engaging ways to communicate data and insights using Power BI, Tableau and PowerApps. I am looking for a Data & ML Engineer ...

lifecycle. Drive technical discovery, architecture, platform innovation, rapid prototyping, and AI-assisted development. Design and implement scalable cloud-native solutions on Google Cloud Platform (GCP), including serverless applications, APIs, and microservices. Ensure code quality, reliability, performance, and security through testing strategies, code reviews, monitoring, maintenance, and incident response. Own products … science, data analysis, and data-driven application development, including working with datasets, statistical or analytical techniques. Knowledge of cloud platforms and services, particularly Google Cloud Platform (or equivalent AWS/Azure services), including serverless architectures. DevOps and infrastructure skills, including Docker, Kubernetes, Linux, Terraform, CI/CD pipelines, and GitHub ...

into a modern, automated and repeatable platform. You'll play a key role in a significant cloud separation and migration programme, working across Azure, GCP and modern data platforms. You'll also have the opportunity to establish and improve DevOps standards, Infrastructure as Code, CI/CD, monitoring and disaster ...

solve a variety of problems. To do this, you will need to be able to: Have solid experience with AWS/Azure/GCP and willing to learn others where necessary Build and maintain an IaC codebase using tools such as Terraform, Puppet and Ansible. You will understand Cloud & DevOps ...

including driving strategy, prioritisation, and delivery. Some other highly valued skills may include: Good understanding of cloud technologies and data principles (AWS, Azure, or GCP), or experience delivering large-scale migration programmes. Strong project governance capabilities, with experience prioritising and managing multiple concurrent workstreams. Experience working in Agile delivery environments. ...

design (OpenAPI/Swagger/Postman), system design, and database tools (SQL/Python basics). AI & Cloud: Exposure to cloud infrastructure (GCP/Azure/AWS) and AI/LLM integrations. Agile & Delivery: Strong experience in Scrum/Kanban, writing technical specifications, and managing delivery cadences. Domain: Experience ...

data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure to cloud-based machine learning services. Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn. Knowledge of pipeline orchestration and data ...

translate technical risk into business impact. Professional certifications such as CISSP, CISM, CCSK, CCSP, or equivalent. Hands-on knowledge of cloud security (AWS, Azure, GCP) and container orchestration platforms (e.g., Kubernetes). Experience in international and diverse environments, with exposure to regulatory engagement. Familiarity with engineering excellence practices such ...