19 of 19 gRPC Jobs in the East of England

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience building and maintaining ML pipelines and data pipelines. Proficiency in model deployment techniques (e.g., serving models with REST APIs, gRPC, or via cloud services). Hands-on experience with cloud platforms (AWS, GCP, Azure) for model training and deployment. Deep understanding of MLOps concepts: monitoring, logging, CI/CD for More ❯

Have Exposure to machine learning for fraud detection. Experience in eCommerce, fintech, or large-scale SaaS platforms. Knowledge of real-time payments (RTP), open banking, or crypto payment solutions. gRPC experience is a plus. Familiarity with vector databases or search engines (not required but a plus). Benefits Competitive salary and benefits package. Fully remote work environment with flexible working More ❯

your responsibilities Master your toolkit. By working across diverse tech stacks, you’ll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust—you’ll show that true expertise isn’t about using the trendiest technologies, but about understanding their purpose to unleash their More ❯

your responsibilities Master your toolkit. By working across diverse tech stacks, you'll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust-you'll show that true expertise isn't about using the trendiest technologies, but about understanding their purpose to unleash their More ❯

your responsibilities Master your toolkit. By working across diverse tech stacks, you’ll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust—you’ll show that true expertise isn’t about using the trendiest technologies, but about understanding their purpose to unleash their More ❯

your responsibilities Master your toolkit. By working across diverse tech stacks, you’ll refine your ability to choose the right tools for every challenge. From monolithic to microservices architectures, gRPC to REST APIs, Kubernetes to Docker, Python to Rust—you’ll show that true expertise isn’t about using the trendiest technologies, but about understanding their purpose to unleash their More ❯

perspective. Comfort with implementing highly abstract concepts and complex architectures. Proficiency in object-oriented development. Proficiency in unit and functional testing. Experience in API development and integration (RESTful, GraphQL, gRPC, etc.). Experience with Java frameworks such as Spring, Quarkus, Helidon, etc. Proficiency with Docker microservice architectures and Kubernetes. Experience with RDBMS like MySQL, PostgreSQL, or equivalent. Experience with NoSQL More ❯

routers Experience with defect management. Specialist knowledge of relevant emerging network/software technologies. Experience in resolution of customer impacting network issues. Experience with agile delivery Experience with gNMI, gRPC, JSON. Experience with CICD methodologies (Robot, Gitlab, BDD) Hands-on experience with test tools e.g lxia lxNetwork, lxload, lxBreakingPoint Understanding/experience of segment routing protocols e.g. SR-TE, SRv6 More ❯