151 to 167 of 167 Permanent Low Latency Jobs

engineering team developing real-time software for advanced aerospace applications , including: Flight control and avionics systems Radar and sensor data processing pipelines Guidance, navigation, and communication software Safety-critical, low-latency applications What Youll Bring Proficiency in C/C++ for embedded systems Experience with RTOS and/or bare-metal programming Familiarity with aerospace, robotics, or defence More ❯

and support evaluation of AI outputs. Qualifications: 3+ years in data engineering or AI infrastructure. Strong skills in AWS services, Kafka/NiFi, JSON, Python, and APIs. Experience with low-latency pipeline design and optimization. Desired: familiarity with LlamaIndex, Qdrant, and classification-aware data processing. Clearance Requirement: Must hold an active TS/SCI clearance and the ability More ❯

Guide development teams on embedding AI into existing and new applications, including prompt engineering, API integration, and data flow design. Architect and scale AI platforms to support high-concurrency, low-latency workloads, including peak load planning and autoscaling strategies. Build and maintain secure, scalable Azure environments using Infrastructure-as-Code (Bicep/Terraform) and CI/CD pipelines. More ❯

accelerate system evolution and mission impact. Champion Mission-Driven Tech Insertion: Prioritize and guide transition of emerging technologies-such as AI-enabled signal processing, cross-domain data flows, and low-latency exploitation systems-into resilient, deployable architectures. Conduct Technical Reviews and Mission Assurance Assessments: Serve as senior design authority on internal reviews, engineering gates, and readiness evaluations across More ❯

performant, and aligned with business needs. Key Responsibilities Model Deployment: Deploy and manage machine learning models in production using tools like MLflow, Kubeflow, or AWS SageMaker, ensuring scalability and low latency. Monitoring and Observability: Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. Data Drift Detection More ❯

performant, and aligned with business needs. Key Responsibilities Model Deployment : Deploy and manage machine learning models in production using tools like MLflow , Kubeflow, or AWS SageMaker, ensuring scalability and low latency. Monitoring and Observability : Build and maintain dashboards using Grafana, Prometheus, or Kibana to track real-time model health (e.g., accuracy, latency) and historical trends. Data Drift Detection More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯

innovation and delivering real world impact across global markets. This isn't just any ML leadership role. You'll work with vast, complex datasets and deploy models with stringent latency requirements. You'll be empowered to build an architecture that blends innovation with operational excellence, leveraging everything from tree based models and advanced neural networks all accelerated by the … talent to stay ahead of the curve. Why this role? ** Own the full machine learning lifecycle from research to real time production at scale. ** Solve complex challenges involving ultra low latency, distributed inference, and continuous model optimisation. ** Work with state of the art tooling and platforms in an organisation that invests heavily in innovation. ** Lead a team passionate More ❯

Options Direct has been supplying infrastructure to capital markets with an impeccable track record for nearly a decade. We maintain stock on long lead time items such as low latency NICs, popular HPE/Dell/Supermicro Chassis, Switches, and more, enabling us to ship custom builds within a 5-7 day lead time. Options Direct has an More ❯

Options Direct has been supplying infrastructure to capital markets with an impeccable track record for nearly a decade. We maintain stock on long lead time items such as low latency NICs, popular HPE/Dell/Supermicro Chassis, Switches, and more, enabling us to ship custom builds within a 5-7 day lead time. Options Direct has an More ❯

product teams to shape roadmap and influence implementation. Conduct technical research and evaluate architectural approaches for performance, scalability, and security. Deliver complex features and services to production, ensuring robustness, low latency, and reliability. Key Qualifications: 5+ years experience as a backend/server engineer, with strong hands-on Go (Golang) skills in production. Experience with Rust (ideally in More ❯

market feedback to influence product development and service innovation. Collaborate with Customer Sales Engineering, Offering, Product and commercial teams to shape connectivity solutions tailored to sector-specific requirements (e.g., low latency, high resilience, cybersecurity). Build, manage, and mentor a team of BDM. Set KPIs and targets; track performance and report to senior management. What you'll need More ❯

frontend, backend, data, and cloud. Design clear interfaces and a mediated API layer between services and clients. Lead decisions on scalability, observability, reliability, cost, and security for high-volume, low-latency workloads. Write production code in TypeScript/Node and Angular, pairing with teams on complex features. Establish guardrails: coding standards, architecture principles, testing strategy, CI/CD More ❯