176 to 200 of 1,295 Permanent GCP Jobs

MySQL) as a core part of your job Cloud experience: youve deployed and maintained services in production on a cloud platform (Azure, AWS, or GCP). You understand how things like storage, messaging, and secrets management work Testing discipline: you write tests for your code (xUnit, NUnit, or similar), care ...

variety of industries. What do I need? Java, C#, Python, Go or TypeScript React, Angular, Vue or Svelte Cloud experience (AWS, Azure or GCP) Infrastructure as Code CI/CD tools such as GitHub Actions, GitLab CI or Jenkins Desirable NoSQL technologies such as Elasticsearch Strong problem-solving and debugging ...

strategy Tech environment: Python LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure ...

multidisciplinary 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 ...

multidisciplinary 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 ...

multidisciplinary 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 ...

multidisciplinary 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 ...

multidisciplinary 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 ...

multidisciplinary 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 ...

multidisciplinary 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 ...

solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data ...

RSpec or Minitest. Basic knowledge of Docker and CI/CD pipelines. Understanding of Linux environments. Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform) is desirable. Desirable Skills Knowledge of Redis or background job processing (eg, Sidekiq). Exposure to GraphQL. Basic understanding of microservices architecture. Familiarity with ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, Kubeflow or TensorFlow 3+ ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years ...

/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 into ...

integrating AI into enterprise systems via APIs and data pipelines with strong security, data governance and residency practices. Cloud platform experience (AWS, Azure or GCP) including managed AI/ML services. Proficiency in Agile, CI/CD, modern SDLC and TDD. Strong data and architecture skills: modelling across relational, columnar ...

agents, including a deep understanding of their application in complex technical or scientific problem spaces. Deep technical fluency with cloud-native architectures (e.g., AWS, GCP, Azure), API design, and the infrastructure required to serve and scale advanced AI/ML applications. Preferred Qualifications & Skills: If you have the following characteristics ...

stream processing. Experience with PostgreSQL (or similar relational databases) and data‐intensive workloads. Experience running services on a major cloud provider (e.g. AWS, GCP) and with containerisation/orchestration (e.g. Docker, Kubernetes). Exposure to regulated or high‐assurance environments and the constraints they introduce. Benefits Opportunity to travel ...