1 to 25 of 50 GCP Jobs in Northern Ireland

engineering community.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

engineering community.Essential Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

future of Deloitte.Preferred Skills:Proven experience designing, building, and maintaining cloud-based platforms and infrastructure, with a strong focus on Google Cloud Platform (GCP).Hands-on experience with GCP services such as Compute Engine, Cloud Storage, VPC, IAM, Cloud Functions, and GKE (Google Kubernetes Engine).Proficient in Infrastructure as Code … using tools such as Terraform (including for GCP) or Deployment Manager.Strong background in CI/CD pipeline design and automation using tools like Jenkins, GitLab CI, Cloud Build, or similar.Proficiency in scripting languages (e.g., Python, Bash, Go).Experience with containerisation and orchestration (Docker, Kubernetes, GKE).Solid understanding of networking, security ...

environmentsExperience with REST APIs, microservices architecture, and integration patternsSolid understanding of software development lifecycle (SDLC) and Agile practicesExperience with cloud platforms (AWS, Azure, or GCP)Proficiency in JavaScript and at least one modern front-end frameworkExperience with CI/CD tools (e.g., Jenkins, GitHub Actions, Azure DevOps)Familiarity with monitoring ...

production environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring.Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio.Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes ...

environments, with a good understanding of MLOps practices including CI/CD pipelines, model versioning, and monitoring. Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native AI tools such as SageMaker, Vertex AI, or Azure ML Studio. Working knowledge of containerization technologies (e.g., Docker) and orchestration tools (e.g. ...

such as handling sensitive data correctly, using approved tools, and raising potential risks to senior colleagues. Basic understanding of cloud platforms (AWS, Azure, or GCP); exposure to cloud-native AI tools (e.g., SageMaker, Vertex AI, Azure ML Studio) is a plus. Awareness of containerisation technologies (e.g., Docker); exposure to orchestration ...

scalability, reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring.Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions.Proficiency in using ...

reliability, and performance. Familiarity with MLOps practices, including CI/CD pipelines, model versioning, and monitoring. Comprehensive experience with cloud platforms (AWS, Azure, or GCP) and cloud native AI tools, such as SageMaker, Vertex AI, or Azure ML Studio. Ability to design and deploy cloud-based AI solutions. Proficiency ...

data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into production environments. Extensive experience in cloud environments (AWS, Azure, or GCP), including leveraging cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio. Demonstrable expertise in creating interactive dashboards and visual analytics using tools such ...

code quality.Experience working in agile, cross-functional teams and contributing to delivery planning and estimation.Experience with cloud platforms such as AWS, Azure or GCP, CI/CD pipelines or DevOps practices would be beneficial.Exposure to NoSQL databases, microservices or event-driven architectures would be desirable.To qualify for the role ...

practices, and ethical guardrails to ensure safe, responsible, and compliant deployment of AI and Generative AI systems.Broad experience across major cloud platforms (AWS, Azure, GCP) with Generative AI services. Cloud-agnostic experience is preferred.Strong grasp of MLOps/LLMOps principles, including CI/CD for ML, model monitoring, and governance ...

performance issue diagnosis, and implementing solutions.Experience using CI/CD pipelines and tools (Jenkins, Bitbucket Pipelines, GitHub Actions)Working knowledge of cloud platforms (AWS, GCP, Azure) and their core services.Desirable Skills:Experience with message queueing solutions (Kafka, SQS), Serverless technologies (Lambda), and monitoring and logging tools (Dynatrace, ELK stack, Splunk ...

Face Transformers) to solve real-world problems such as text summarisation, chatbots, or content generation. Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). Experience creating interactive visualizations and dashboards using tools such as Dash or Streamlit to communicate findings effectively. Strong interpersonal skills, with the ability ...

versioning, monitoring, automated testing, retraining and performance optimisation. Experience using cloud platforms and cloud-native AI/ML services, such as Azure, AWS or GCP, to build and deploy scalable solutions. Strong communication and collaboration skills, with the ability to explain technical concepts to both engineering teams and non-technical ...

REQUIREMENTS:Strong software development experience in one of Java, Scala, or PythonSoftware development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.Experience of developing substantial components for large-scale data processing solutions and deploying into a production environment Proficient in SQL and SQL extensions for analytical ...

required.Able to pass UK Government SC clearance vetting.Desirables:Experience with private cloud, data centre networks, hybrid cloud architectures.Experience with other public cloud platforms (AWS, GCP, Azure).Industry-specific knowledge relevant to Deloitte's client base (e.g. Public Sector, Financial Services, Private Sector).Connect to your business - Technology and TransformationDistinctive thinking ...

emerging GenAI technologies & standards.AI Regulatory Landscape (ER&I): Understands AI regulations; ensures project compliance.Cloud & Advanced LLM Architectures: Cloud expertise (AWS/Azure/GCP); emerging LLM architectures.GenAI Frameworks & Platforms: Proficient with Data & AI platforms (Azure AI, Vertex AI, Databricks, Hugging Face), advanced GenAI frameworks (LangChain, HF Transformers, LlamaIndex) & Agentic architectures ...

expertise not mandatory)Experience integrating Gen‐AI APIs (OpenAI, Gemini, Claude, etc.) into production applicationsFamiliarity with at least one major cloud provider (AWS, GCP, or Azure)This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.What ...

concepts and tools (e.g., OpenAI GPT, Hugging Face Transformers), gained through coursework, internships, or personal projects. Basic awareness of cloud technologies (AWS, Azure, or GCP). Some experience creating visualisations or dashboards (e.g., Dash, Streamlit), through coursework or previous roles. Good interpersonal skills, with an interest in explaining technical concepts ...

right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: Cloud & Platforms: AWS, Azure, Google Cloud Platform, IBM, Oracle, Salesforce Architecture & Delivery: Microservices, packaged solutions, cloud/on-premise models, agile delivery, digital transformation Tools & Frameworks: IoT, cloud-native architectures, UML, ArchiMate Additional ...

database proficiency (SQL Server, Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge:Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations.In-depth knowledge of regulatory ...

Working knowledge of key analytics tools such as: Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis ...

Working knowledge of key analytics tools such as: Reporting and visualisation: PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Cloud computing platforms: Azure, AWS, GCP Experience in any aspects of the data analytics lifecycle, for example: Data Strategy Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis ...

work independently and manage multiple priorities in a challenging environmentDesirable Skills:Experience in a professional services organisationFamiliarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data quality capabilitiesKnowledge of Master Data Management (MDM) and Metadata Management concepts.Experience with data quality tools specifically designed for unstructured data or text ...