701 to 725 of 1,757 Permanent GCP Jobs

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across the GenAI solutions. Communicate More ❯

able to liaise with both technical and non-technical stakeholders. Self-starter; able to rapidly understand existing architecture, adapt, and deliver. Nice to Have Experience with cloud environments (AWS, GCP, Azure). Experience with streaming or real-time data pipelines. Understanding of vector databases or ML-friendly data engineering (feature stores etc.). Experience working in consulting/client-facing More ❯

Communicates team work and influences the roadmap within their team. Builds cross-team relationships Has deep knowledge of at least one public cloud provider (AWS preferable, but could be GCP, Azure). Knows about the internals, networking security to a reasonable level. T Shaped engineer - skilled in at least one technology (ie, Java, React) but competent with others. This is More ❯

Communicates team work and influences the roadmap within their team. Builds cross-team relationships Has deep knowledge of at least one public cloud provider (AWS preferable, but could be GCP, Azure). Knows about the internals, networking security to a reasonable level. T Shaped engineer - skilled in at least one technology (ie, Java, React) but competent with others. This is More ❯

in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

in a senior leadership capacity. Proven success delivering ML solutions that drive measurable commercial outcomes at scale. Hands-on expertise across the ML lifecycle, in modern cloud environments (AWS, GCP, Azure). Strong communication skills and ability to influence across technical and non-technical stakeholders. Deep knowledge of ethical AI governance and experience implementing controls for compliance. Background in consumer More ❯

of work Ability to convert customer requirements or business challenges into well-defined machine learning solutions We are using many technologies day to day such as various AWS services, GCP, Kubernetes, Ray Serve, Kubeflow, and ReTool. Any experience in these areas would be a bonus Sprout.ai Values Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones More ❯

and metrics literacy Nice to have: PhD or Master's in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous More ❯

literacy Nice to have: PhD or Master's in Computer Science, AI, or related field Experience with sports data, tracking systems, or analytics platforms Familiarity with cloud platforms (AWS, GCP) and containerization (Docker) Why Apply? Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments Join a team passionate about research, innovation, and More ❯

strong relationships and facilitating productive discussions. Baseline Understanding of Core Data & AI Technologies: Maintain a baseline understanding of core technologies and platforms, including cloud solutions (such as AWS, Azure, GCP), to effectively discuss their applications and benefits with clients and stakeholders. Analytical Mindset: Strong analytical skills, with the ability to synthesise complex information and develop pragmatic solutions that address clients More ❯

collaborative environment. Excited to take ownership and grow with a scaling company. Preferred Qualifications Experience in a biotech, agri-tech, or life sciences setting. Familiarity with cloud platforms (AWS, GCP, or Azure). Knowledge of data engineering, pipelines, or workflow automation. Previous experience in a Series A–B stage startup. If this sounds like you, you'll fit right in. More ❯

including new certification scheme - 1 st class career progression opportunities - Plus more What do I need? - Experience with CI/CD pipeline management ideally within Azure DevOps (AWS and GCP also considered) - Strong with IaC tools such as Terraform, Ansible or similar - Experience with automated testing tools such as Selenium or similar - Secure Secrets Management experience ideally with Azure DevOps More ❯

Excellent skill-up support including certification schemes 1st class career progression opportunities Plus more What do I need? Experience managing CI/CD pipelines (ideally Azure DevOps, AWS or GCP also considered) Strong with IaC tools such as Terraform, Ansible, or similar Experience with automated testing tools (e.g., Selenium) Secure secrets management experience (ideally with Azure DevOps) Version control with More ❯

3+ years in architecture or platform ownership Proven experience with international clients, particularly in US, UK, European, or Australian markets, strongly preferred Technical Expertise Deep expertise in AWS and GCP cloud services, covering storage, compute, data processing, analytics, and serverless platforms (e.g., AWS S3/Redshift/Glue/Lambda, GCP BigQuery/Cloud Storage/Dataflow/Cloud Functions … Python, and data modeling for analytical and operational use cases Hands-on experience with production-grade ETL/ELT frameworks and workflow orchestration (e.g., Airflow, dbt, Talend, AWS Glue, GCP Dataform/Cloud Composer) Proven ability to design, deploy, and optimize data warehouses and lakehouse architectures using technologies like BigQuery, Redshift, Snowflake, and Databricks Experience with Infrastructure as Code tools … e.g., Terraform, AWS CloudFormation, GCP Deployment Manager) for cloud resource provisioning and management Proficiency with CI/CD pipelines and DevOps practices for data applications, including Git-based workflows and containerization/orchestration using Docker, ECS, GKE, or Kubernetes Platform and Architecture Skills Solid understanding of platform engineering concepts including observability, monitoring tools (CloudWatch, Prometheus, Grafana), and automated scaling Proven More ❯

Machine Learning technologies is a plus. Specialized Knowledge: Experience with discrete event simulation, geospatial and/or temporal databases, and performing scientific evaluations and comparisons is highly valued. Google Cloud Platform: Experience using and deploying technologies onto GCP, existing GCP credentials, and familiarity with VertexAI. Technical Familiarity: Familiarity with technologies such as Docker, Node, and REST APIs is a bonus. More ❯

At IBM CIC, we deliver deep technical and industry expertise to a wide range of public and private sector clients in the UK. A career in IBM CIC means you'll have the opportunity to work with visionaries across multiple More ❯

of object-oriented design, data structures, and algorithms Strong Linux/Unix fundamentals. Experience working with Amazon Web Services (AWS), Microsoft Azure Cloud, and/or Google Cloud Platform (GCP) Proficiency and experience in provisioning and building infrastructure as code using Terraform Excellent communication skills to interact well both within and outside the team The ability to find opportunities for … images Experience with modern technology ecosystem for kubernetes, such as Bottlerocket, Karpenter, and Kyverno SRE experience (machine ownership, metrics and monitoring, performance testing, etc.) AWS, Azure, and/or GCP certifications A background/previous experience in system administration (configuration, security, networking, etc.) Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus The referenced salary range is based on More ❯

dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best practices within the … with TypeScript, RxJS, and integrating component libraries. Strong understanding of REST APIs, asynchronous data handling, and full stack integration. Hands-on experience deploying and operating cloud-native applications in GCP, including Cloud Run, Kubernetes, containerisation (Docker), and related tooling. Proven ability to design and deliver data-intensive applications with interactive visualizations. Experience with Git, CI/CD pipelines, automated testing More ❯

dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best practices within the … with TypeScript, RxJS, and integrating component libraries. Strong understanding of REST APIs, asynchronous data handling, and full stack integration. Hands-on experience deploying and operating cloud-native applications in GCP, including Cloud Run, Kubernetes, containerisation (Docker), and related tooling. Proven ability to design and deliver data-intensive applications with interactive visualizations. Experience with Git, CI/CD pipelines, automated testing More ❯

dashboards, maps) using tools such as Chart.js, D3.js, or similar. Ensure high-quality, reliable code through testing, documentation, and code reviews. Deploy and manage services in Google Cloud Platform (GCP), using Cloud Run, Kubernetes, and other cloud-native tooling. Collaborate with data scientists, analysts, and fellow engineers to deliver impactful software. Provide technical leadership, mentoring, and best practices within the … with TypeScript, RxJS, and integrating component libraries. Strong understanding of REST APIs, asynchronous data handling, and full stack integration. Hands-on experience deploying and operating cloud-native applications in GCP, including Cloud Run, Kubernetes, containerisation (Docker), and related tooling. Proven ability to design and deliver data-intensive applications with interactive visualizations. Experience with Git, CI/CD pipelines, automated testing More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯

Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic systems into the wider … with Vector Databases such as Milvus, Pinecone, or Chroma. Software & Cloud Engineering: Programming & APIs: Expert-level Python and demonstrable experience building production services with FastAPI. Cloud Platform: Mastery of GCP, particularly Vertex AI, Google Kubernetes Engine (GKE), and Cloud Functions. Databases: Strong command of relational databases like PostgreSQL and familiarity with NoSQL solutions. MLOps & DevOps: Production experience with Docker, Kubernetes More ❯