Top Remote Jobs in Netherlands

Lead development and scaling of research-to-production ML infrastructure for reinforcement-learning-based industrial control. Build distributed training and experiment orchestration, optimize performance (vectorization, profiling), manage GPU capacity on Kubernetes/GCP, productionize models, document work, mentor peers, and act as liaison between Research and Production teams.

Speculative application for the EMEA region at IRCA Group. Candidates submit their background for consideration for future roles. Emphasizes international, inclusive environment, career growth, and HR outreach when matches arise.

Contract UX/Product Researcher to lead mixed-methods research, partner with Product/Design/Growth, coach designers, improve research ops and tooling, and democratize insights to inform strategic product decisions.

Lead DevSecOps engineer owning security and compliance implementation across infrastructure, CI/CD, Kubernetes, and cloud. Implement SOC 2/ISO controls in Drata, automate onboarding/offboarding and access reviews, drive SDLC security (SAST/SCA/secrets), run vulnerability management and incident response, and spend ~60% on infrastructure operations, monitoring, and on-call.

Open application request: submit your resume for consideration for future roles. No specific responsibilities, qualifications, or role details provided.

Lead end-to-end certification for autonomous navigation: author technical dossiers for class approvals, run FMEA/HAZID/HAZOP, map SOLAS/COLREG/IACS requirements into design and JIRA, analyze sea-trial data to build equivalent-safety cases, and maintain live fleet certification across releases.

The Design Engineer will develop mechanical systems, collaborate with engineers and designers, improve design quality, and work on complex multi-disciplinary projects.

Lead end-to-end cloud data platform design and delivery for omnichannel retail clients. Split time between pre-sales discovery and architectural oversight during build. Architect AI-ready data foundations (feature stores, embeddings, vector DBs), define ingestion, storage, transformation, modeling, BI and CDP integration, and enforce automation, IaC, CI/CD, testing, and observability. Co-sell and present architectures to technical and executive stakeholders.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Lead SRE efforts to ensure reliability, scalability, and performance of a large-scale platform. Architect observability, define SLOs/SLIs, lead incident response and post-mortems, automate infrastructure and CI/CD, optimize Kubernetes/GCP deployments, debug distributed systems, mentor engineers, and write production-quality Python or Go code.