876 to 900 of 4,009 GCP Jobs

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

orchestration, automation) Expertise in data modelling (dimensional, event-based, ML-aligned) Experience with helping to build ML models and orchestrating into production Familiarity with cloud ecosystems - Azure, AWS, or GCP Experience with CI/CD tools (Azure DevOps, GitHub Actions, or similar) Excellent communication skills and a structured, detail-oriented approach BSc in a related STEM degree from a top More ❯

Tidyverse, to build various ML-driven applications such as recommendation models, timeseries forecasting, attribution models that address business needs and deliver impactful solutions. 4. Utilize knowledge of AWS, Google Cloud Platform, and Databricks to train machine learning models, scale solutions for optimized architecture, and collaborate with MLOps teams to automate and streamline deployment processes. 5. Utilize experience in applied statistics … modeling with SparkML, scikit-learn, TensorFlow, Keras, XGBoost, and Tidyverse to build large-scale machine learning models for clustering, segmentation, cancer detection, etc. 11. Utilize AWS SageMaker and Google Cloud Platform for scalable batch inferencing and modeling to drive efficient, large-scale AI solutions. 12. Utilize HCP data analytics and predictive modeling to enhance targeted marketing strategies and optimize healthcare More ❯

systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in More ❯

systems (FastAPI, Flask, or Django REST). Proven leadership experience in a development environment Solid expertise in microservices, APIs, messaging patterns, and distributed systems. Proficient with cloud platforms (AWS, GCP, Azure) and containerisation (Docker; Kubernetes preferred). Strong engineering fundamentals - testing, clean code, performance tuning, and algorithms. Experience with relational and non-relational databases (PostgreSQL, MongoDB). Comfortable working in More ❯

/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency in Python (strongly preferred), and familiarity with Docker and Kubernetes . Outstanding verbal and written communication skills. More ❯

frameworks. Deliver system health checks, EarlyWatch reports, and technical service reviews with clear insights and recommendations. Cloud, Automation & Innovation: Administer and optimise SAP landscapes in cloud platforms - Azure, AWS, GCP, and private cloud. Deploy and manage SAP Business Technology Platform (BTP) solutions - from connectivity to lifecycle management. Utilise SAP Cloud ALM for operations, change management, and proactive service monitoring. Champion … of SAP Solution Manager for monitoring, maintenance, and change control. Exceptional problem-solving, communication, and stakeholder management skills. Desirable Skills: Experience running SAP on public cloud platforms (Azure, AWS, GCP). Practical automation and scripting skills in Ansible, PowerShell, Shell, or Python. Familiarity with Fiori, BTP extensions, and integration scenarios. Understanding of DevOps and CI/CD methodologies for SAP More ❯

a similar role. You know to tell us when your code is SOLID enough Experience with Amazon Web Services (AWS) or any other Cloud Computing Platform (e.g. Azure, Google Cloud Platform). Experience with (different types of) automated testing as part of CI/CD driven software development. You like to collaborate, appreciate open communication, and are comfortable with working More ❯

development experience using one or more programming languages such as Python, Rust and Golang Solid experience with core cloud services (such as EC2, S3, and VPC on AWS and GCP equivalent) and software development tools such as Git, Terraform, GitLab, Jira, etc. Solid experience with developing in Linux environment Experience with complex data structures and database and analytics technologies such More ❯

What Were Looking For Strong commercial experience with Go (Golang) in production environments. Proven experience building scalable microservices and distributed backend systems. Solid understanding of cloud platforms (e.g., AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Familiarity with RESTful APIs, gRPC, and messaging systems. Strong grasp of testing, CI/CD, and DevOps practices. Excellent communication and collaboration skills More ❯

We’re Looking For Strong commercial experience with Go (Golang) in production environments. Proven experience building scalable microservices and distributed backend systems. Solid understanding of cloud platforms (e.g., AWS, GCP, or Azure) and containerisation (Docker, Kubernetes). Familiarity with RESTful APIs, gRPC, and messaging systems. Strong grasp of testing, CI/CD, and DevOps practices. Excellent communication and collaboration skills More ❯

and non-technical stakeholders Problem-solving mindset with a passion for customer satisfaction and delivering quality solutions Experience with containerization and deployment practices (Docker, Kubernetes, AWS/Azure/GCP) is a plus Demonstrated ability to balance technical excellence with business requirements and time constraints Want to put your job search on autopilot? Join our platform, complete a 6-minute More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

training, evaluations and inference. Programming languages: Proficiency in Python using PyTorch/TensorFlow/JAX framework. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

. Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability to More ❯

. Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. More ❯