101 to 125 of 1,006 GCP Jobs

econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability ...

/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 ...

/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable). Solid data modelling knowledge and performance optimisation skills. Awareness of data governance, security, and regulatory compliance . Ability to work closely with technical ...

SOLID and be comfortable with practices like IaC, CI/CD and Observability. Skills: Python, TypeScript FastAPI, Django, Vue MongoDB, DynamoDB Kubernetes GCP, AWS In return they're offering initial 6-month contracts outside IR35 paying up to £700/day. If you're interested and would like to know ...

Python and associated frameworks – Django, Flask, FastAPI Front end experience in React, JavaScript, Typescript Public cloud experience (AWS ideally but open to Azure or GCP) Familiarity with CI/CD tools Containerised deployments (Docker) Experience using AI assisted coding and development. ...

skills & experience: • Strong Python and software engineering fundamentals • Experience operationalising ML models (e.g. Scikit-learn, TensorFlow, PyTorch) • Hands-on cloud experience (AWS, Azure or GCP), including security considerations • Containerisation and orchestration (Docker, Kubernetes) • Solid grounding in core ML concepts, probability, and statistics • Excellent communication and stakeholder-facing skills Additional requirements ...

experience with Python (3.x) Experience with Django, Flask, or FastAPI Proficiency in building RESTful APIs and microservices Exposure to cloud environments (AWS, Azure, or GCP) Knowledge of Docker or Kubernetes is beneficial Solid understanding of SQL or NoSQL databases Candidate Profile Proven background as a Python Developer Comfortable working ...

Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern testing practices ...

Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern testing practices ...

Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern testing practices ...

Proven experience as a Technical Lead or Senior engineer Strong software engineering and system design background Experience delivering enterprise applications on AWS, Azure or GCP Proficiency in JavaScript, Java or .NET Agile delivery experience (Scrum/Kanban) Knowledge of DevOps, CI/CD, infrastructure-as-code and modern testing practices ...

eligible for SC clearance. Role Highlights Maintain, enhance and deploy production applications using Python, JavaScript/TypeScript, and cloud platforms (AWS, Azure, or GCP) Develop new features, improvements, and integrations based on client feedback, service metrics, or evolving requirements Troubleshoot, debug, and resolve live system issues, ensuring minimal disruption ...

eligible for SC clearance. Role Highlights Maintain, enhance and deploy production applications using Python, JavaScript/TypeScript, and cloud platforms (AWS, Azure, or GCP) Develop new features, improvements, and integrations based on client feedback, service metrics, or evolving requirements Troubleshoot, debug, and resolve live system issues, ensuring minimal disruption ...

take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills. Tech stack AWS/GCP Python - Preferred Docker Preferred or Kurbenetes SQL/PostgreSQL Git Nginx Flask or Fast API CI/CD, API development & Management, NLP, Machine Learning Experience ...

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/ ...

multi-step reasoning, tool usage, HITL patterns RAG expertise : embeddings, vector DBs, hybrid retrieval, reranking, chunking strategies, evaluation Cloud architecture (Azure/AWS/GCP) with production engineering rigor: microservices, containers (Docker/K8s), serverless, CI/CD Solid programming skills (one or more): Python, TypeScript/JavaScript, Java, C# ...

working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform ...

working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.) Experience with DevOps tools: Kubernetes, Docker, Terraform ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...

lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical and problem-solving skills, with attention to performance and maintainability. Enthusiasm for AI technologies, automation, and innovation, with a desire ...