25 of 25 gRPC Jobs in the East of England

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

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 More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

data-intensive applications A product-focused mindset and familiarity with working in technology-driven organisations or start-ups Hands-on skills in Kafka, Cassandra, gRPC, and microservices architecture will also be beneficial, as well as experience contributing to open-source projects If you're a passionate Senior Backend Engineer seeking More ❯

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 More ❯

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 More ❯