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 ❯
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 ❯
The ideal candidate will have the following skills/experience: Go/Python/Java Cloud provider API integration (e.g. AWS, GCP, Azure) Communication protocols such as HTTP and gRPC Kubernetes hosted microservices Docker SQL You will have at least 8 years of professional software development experience and be eligible to work in the UK with either weekly or monthly More ❯
Slough, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
degree in Computer Science (or related fields). Experience with AWS and Docker. Interest in AI, and familiarity with building LLM-based agents. Exposure to contract-first development (OpenAPI, gRPC/Protocol Buffers). Ability to design scalable and efficient system architectures. Ability to navigate rapidly changing priorities in a growing startup environment. [Optional] Previous experience working at a startup More ❯
Excellent analytical and problem-solving skills. Desired skills and qualifications: Experience of developing embedded software/hardware-software integrated solutions. Experience of developing microscopy/scientific software. Knowledge of GRPC framework or other IPC frameworks. At ONI, we understand that a fulfilling career involves more than just challenging work - it's about enjoying a well-rounded experience. When you become More ❯
The ideal candidate will have the following skills/experience: Go/Python/Java Cloud provider API integration (e.g. AWS, GCP, Azure) Communication protocols such as HTTP and gRPC Kubernetes hosted microservices Docker SQL You will have at least 8 years of professional software development experience and be eligible to work in the UK with either weekly or monthly More ❯
experience in performant and scalable database design in SQL, NOSQL and GRAPH databases such SQL Server/PgSQL, MongoDB, Cassandra, Redis ,Apache Druid • Solid experience in REST APIs, GraphQL & gRPC • Strong hands-on experience in GitHub/GitLab and testing tools/frameworks such as SonarQube, xUnit, Postman, Cucumber, Polaris, Blackduck. • Strong hands-on experience in any one or more More ❯
Join to apply for the Software Engineer - Fullstack role at A.P. Moller - Maersk Be among the first 25 applicants What Is The Opportunity Maersk is undergoing unprecedented change. We develop solutions that meet customer needs across the entire supply chain More ❯
South East London, England, United Kingdom Hybrid / WFH Options
Areti Group | B Corp™
X20 Senior Software Engineers Needed – Tech Start Up – Fully Remote - GO, Golang, PHP, GraphQL, GRPC, AWS, API, Microservices, Next.JS, React - Offices based in London but all roles are fully remote Areti has partnered with a rapidly growing tech-led organization who are seeking multiple Software Engineers ranging from junior to senior and looking to grow their team by a further … client is happy for you to specialize in the areas you feel most comfortable: Technologies you could work with include but is not limited to: GO, Golang, PHP, GraphQL, GRPC, AWS, API, Microservices, Next.JS, React ,Kubernetes, Docker, Microservices, Kafka. Contemporary software engineering including selection and application of appropriate technology and patterns. Confidence developing full-stack solutions as a polyglot developer More ❯
Excellent analytical and problem-solving skills. Desired skills and qualifications: Experience of developing embedded software/hardware-software integrated solutions. Experience of developing microscopy/scientific software. Knowledge of GRPC framework or other IPC frameworks. At ONI, we understand that a fulfilling career involves more than just challenging work - it's about enjoying a well-rounded experience. When you become More ❯
intelligent systems that live at the intersection of web, desktop, and edge environments. What You’ll Do: Architecting microservice-based systems and integrating with external services via REST, MQTT, gRPC , and other protocols. Developing hybrid web-desktop applications with clean, functional UIs using Electron, Tauri, or Wails . Designing context-aware adaptive systems capable of responding intelligently to changing environments. … Engineer or Software Architect experience. Strong knowledge of Python, Go, or Java (Backend/API); confident JS/TypeScript skills (Frontend). Extensive practical experience with integration protocols (REST, gRPC, MQTT, WebSockets). Solid database skills (PostgreSQL, SQLite). Proficiency with containerisation technologies. Experience building simple desktop applications using Wails, Electron, or Tauri. Familiarity with edge/fog computing principles. More ❯
Burgess Hill, Sussex, United Kingdom Hybrid / WFH Options
Salt
NoSQL/Postgres Familiarity with CI/CD tools such as Jenkins and Git Clear communicator with strong teamwork and problem-solving skills Desirable Skills: Experience with Kafka, GraphQL, gRPC, Docker Test-driven development (TDD/BDD) Agile methodologies (Scrum, Kanban, SAFe) Exposure to cloud-native patterns and services If you're passionate about building high-performing Back End systems More ❯
GitHub Actions, Jenkins, CodePipeline) Familiarity with Docker and containerized deployments Strong understanding of software design patterns , clean code practices, and Agile methodologies Nice to Have: Experience with GraphQL or gRPC Exposure to monitoring/logging tools (e.g., CloudWatch, ELK, Prometheus) Knowledge of security best practices in API and cloud development Familiarity with data streaming using Kafka or Kinesis More ❯
