51 to 75 of 367 Remote/Hybrid Google-Cloud-Platform Jobs

e.g. cloud transformations, data centre exits, data centre transformations) Leading or managing cloud migrations with at least one of AWS, Azure or GCP Aligning cloud & infrastructure strategies to business objectives and continuous improvement initiatives Familiarity with DevOps, FinOps, platform engineering and SRE is desirable Change ...

while leading and mentoring others. What this looks like in practice • Designing secure-by-default multi-account AWS landing zones (awareness of Azure/GCP patterns also relevant). • Building internal developer platforms (IDPs) and self-service automation that boost developer experience. • Deploying and operating hardened Kubernetes platforms (EKS/ ...

within the company, certifications etc. YOUR PROFILE Must have experience of delivering Digital Solutions on one or more cloud platform (AWS, Azure, GCP). Comfortable working in an Agile Environment balancing time-to-value and iterative delivery with governance and control processes. Experience and knowledge to quickly build ...

within the company, certifications etc. YOUR PROFILE Must have experience of delivering Digital Solutions on one or more cloud platform (AWS, Azure, GCP). Comfortable working in an Agile Environment balancing time-to-value and iterative delivery with governance and control processes. Experience and knowledge to quickly build ...

Nice to Have B2B SaaS experience Exposure to acquisitions, platform consolidation, or large-scale transformation programmes Experience across multiple cloud ecosystems (Azure, GCP) Familiarity with Python-based platforms and services Why Join? Competitive salary up to c.£110,000 + flexibility for exceptional candidates Highly competitive equity package ...

Channels, Flask, RESTful APIs. Databases & Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage. Cloud & DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls. Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code ...

experienced contractor who enjoys solving complex infrastructure challenges while helping to deliver robust, scalable AI products. Technical Environment • Python • Kubernetes • MLflow • AWS or GCP • CI/CD Pipelines What You'll Be Doing • Deploying and managing machine learning models in production environments • Building and maintaining MLOps pipelines and automation workflows ...

performing, large-scale technology environment Strong understanding of software architecture, microservices and event-driven systems Experience working with cloud platforms such as AWS, GCP or Azure Excellent problem-solving and communication skills Passion for engineering excellence and delivering high-quality software What's On Offer Salary ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic ...

best practice and help organisations become truly data driven. Key responsibilities: • Design & Deliver scalable data pipelines and cloud-based data platforms (AWS, Azure, GCP). • Develop & Optimise robust data models, warehouses and 'big data' architectures. • Integrate & Transform data using tools such as Databricks, Spark, Kafka, Talend, Informatica, AWS Glue ...

client delivery. Consultants have access to a vast array for different training and certifications in a variety of areas: cloud technologies (AWS, Azure, GCP), programming (Java, Kotlin, NodeJS, Spring Boot), DevOps (Terraform, Kubernetes, Docker), Cybersecurity (CISSP, CISM) and Agile delivery (Scrum Master, Product Owner, Scaled Agile Framework). Capgemini ...

fungible tokens (NFTs), and hybrid assets, along with experience in stablecoin design and integration Proficiency in cloud-native engineering across Azure, AWS, and GCP with experience in containers, Kubernetes, Terraform (Infrastructure as Code), CI/CD pipelines, secrets management, and observability tools such as Prometheus and Grafana Strong foundation ...

e.g. public sector, manufacturing, consumer products, energy, etc.) (nice to have) Working knowledge of one or more major cloud platforms (e.g. Azure, AWS, GCP) and their data/AI ecosystems (nice to have) Working knowledge of one or more architectural frameworks such as TOGAF (nice to have) Holds ...

TypeScript, Java, C# Frameworks: Vue/Angular/React/Node/Next, Spring/Spring Boot, .NET/ASP.NET Cloud platforms: AWS, GCP, Azure CI/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using ...

Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability to translate data insights ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). Industry Experience: Hands-on experience with cloud-based ...

Strong Python and SQL skills ETL/ELT pipeline development Experience with Spark, Kafka, Airflow or similar technologies Cloud experience (AWS, Azure or GCP) CI/CD and DevOps tooling Data modelling and database design Strong stakeholder and communication skills Active SC Clearance or willingness to obtain clearance What ...

Python and statistical analysis skills Experience developing and deploying ML models Knowledge of structured and unstructured data analysis Cloud experience (AWS, Azure or GCP) Experience with SQL and NoSQL databases CI/CD and software engineering best practices Strong stakeholder management and client-facing skills Consultancy or public sector ...

capabilities, including real-time processing, cloud platforms, and big data solutions. Understanding of both on-premises and cloud infrastructure architectures (Azure, AWS, GCP). Strong experience working in Agile environments (Scrum ceremonies, roles, and deliverables), with hands-on use of tools such as Azure DevOps, JIRA, or similar. ...