Grafana Labs is hiring a Senior Machine Learning Engineer (Developer Advocacy) to evolve a rule-based Interactive Learning recommender into a personalized, continuously improving system. The role involves building and operating real-time recommendation services, owning model training/serving/monitoring, defining evaluation and experimentation methodology, and partnering with engineers, data analysts, and product teams. Position is fully remote and Grafana is considering candidates in Sweden.

Build, prototype, and ship AI/LLM- and agent-powered features for analytics and data workflows in Grafana Cloud. Work involves context engineering, handling large datasets, integrating agentic components with internal tools (e.g., Slack, alerting), using cloud-native environments and observability tools, and collaborating across the team to deliver production-grade, user-facing software.

Grafana Labs seeks a Staff AI Engineer to design, develop, test, and ship AI-powered features (LLM/GenAI and agent workflows) for analytics and observability. The role emphasizes rapid prototyping, production-grade software delivery, cloud-native environments (AWS/GCP/Azure), and integration with observability and internal tooling. This is a remote position considering candidates located in Germany, Ireland, Sweden, Spain, and the United Kingdom. Listed Spain base compensation: €94,000–€117,000.

Grafana Labs seeks a Staff AI Engineer for the 2nd Horizon skunkworks team to design, develop, test, and ship AI-driven analytics features that operate on large datasets. The role focuses on building production-grade, high-performance features using LLMs/GenAI and agentic components, rapid prototyping and iteration with real users, cloud-native deployment, and observability for troubleshooting. Candidates should have practical experience with LLMs/context engineering, delivering software to production, and familiarity with cloud environments (AWS/GCP/Azure).

Grafana Labs seeks a Staff AI Engineer for a skunkworks 2nd Horizon team to design, develop, test, and ship AI-powered, production-grade features (LLM/agent-driven) focused on analytics and large datasets. The role involves rapid prototyping, cloud-native development (AWS/GCP/Azure), observability, integrations (e.g., Slack/alerts), and collaborating with internal data teams. Position is remote with candidates considered in Germany, Ireland, Sweden, Spain, and the UK; Germany base compensation range provided.

Remote EMEA role within Forward Deployed Engineering focused on AWS-based ML/GenAI architectures (including Amazon Bedrock and SageMaker), cloud cost/reliability/security optimization, MLOps, and converting field work into reusable patterns and DCI product contributions. Requires 4+ years architecting, deploying, and managing cloud-based AI/ML solutions and hands-on AWS experience.

Senior Cloud Architect in DoiT's Forward Deployed Engineering Delivery team responsible for designing, deploying, and optimizing production ML/GenAI workloads on AWS (including Amazon Bedrock and SageMaker). Focus areas include cost efficiency, reliability, security, MLOps, and converting field work into reusable patterns and product feedback (DCI). Requires 4+ years of relevant cloud AI/ML experience and strong hands-on AWS expertise.

DoiT seeks a Senior Cloud Architect (Forward Deployed Engineering, Delivery) to lead hands-on design and implementation of ML/GenAI workloads on AWS, drive cloud optimizations (cost, reliability, security), convert field work into reusable patterns and DCI product feedback, and operate as an embedded technical partner on account teams. Requires 4+ years architecting and managing cloud-based AI/ML solutions and hands-on experience with AWS services such as SageMaker and Bedrock.

Embedded in Forward Deployed Engineering, this role leads architecture and hands-on delivery of ML/GenAI workloads on AWS (including Bedrock and SageMaker), focuses on cost, reliability, security and observability, converts field work into reusable patterns and contributions to DoiT Cloud Intelligence, and partners with account teams to improve customer outcomes and platform adoption. Requires 4+ years architecting and operating cloud AI/ML solutions.

Join DoiT as a Senior Cloud Architect within the Forward Deployed Engineering (FDE) Delivery team. The role focuses on hands-on design and implementation of production ML/GenAI workloads on AWS (with multi-cloud awareness), improving cost, reliability, security, and observability, and converting field work into reusable patterns and product feedback. Requires 4+ years architecting and managing cloud-based AI/ML solutions and strong experience with AWS services such as Amazon Bedrock and SageMaker. Remote in the UK, Ireland, Estonia, Sweden, the Netherlands, Israel; contractor options in Eastern Europe and Portugal.

Join the Forward Deployment Engineering team as a Senior Cloud Architect delivering hands-on design and implementation of ML and Generative AI solutions on AWS. You will work with customer account teams to improve product adoption and cloud health through cost optimization, reliability, security, automation and observable architectures. The role requires 4+ years of experience architecting, deploying, and managing cloud-based AI/ML solutions and expertise with AWS services such as SageMaker and Bedrock, plus strong skills in MLOps, CI/CD, infrastructure as code, and cross-functional collaboration.

This remote Senior Cloud Architect role within DoiT's Forward Deployed Engineering team leads design and implementation of ML/GenAI workloads on AWS, advises customers on cost, reliability, security and performance, and turns field solutions into reusable patterns and product feedback. The position supports customers across the UK, Ireland, Estonia, Sweden, the Netherlands, Israel and contractors in parts of Europe, and requires hands-on AWS and ML/GenAI expertise (4+ years).