798 python English-speaking jobs in Amsterdam

Tech Environment Python, Kotlin, Golang • Kubernetes • Terraform • Modern cloud‐native architecture •

technical environment (high-tech, aerospace or automotive) Proficiency in Matlab Simulink, Stateflow and Python

knowledge of TCP/IP technologies Familiarity with dynamic routing protocols Experience in automation using Python

Experience in the latest versions of C++ is highly desirable Familiarity with Python scripting Familiarity

Strong programming skills in Python and PyTorch.

you've designed real agent architectures and evaluation strategies, not just wired up an API call Strong Python ... environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts TypeScript/JavaScript in addition to Python

Scripting skills in Bash or Python. Experience with TypeScript is a plus. ... Parameter Store, Trivy/Grype/Snyk, SonarQube Application stack: Node.js/TypeScript (NestJS, Fastify), Python

Automation & Reporting Develop automation solutions using: Python PowerShell Similar scripting technologies ... management Information security frameworks Integration & Automation API integrations Automation scripting: Python

You'll likely have: Strong Python development skills. ... Experience using Python in research, data‐intensive or analytical environments.

Experience in Python is required, strong Excel skills including VBA are expected. ... following: data teams in the financial industry, IT data projects, or development of data pipelines in Python

Strong programming skills in TypeScript, JavaScript, or Python. ... Build and maintain microservices ("robots") in high‐code using TypeScript, JavaScript, or Python.

This intensive training focuses on writing deployable code with Python, containerization, data processing ... Program topics include Data Engineering with Python/Scala Machine learning model deployment Distributed

This intensive period sharpens production-ready Python, containerization, large-scale data processing ... Technical focus areas Production-grade Data Engineering with Python & Scala Deploying and operationalizing

This intensive period sharpens production-ready Python, containerization, large-scale data processing ... Technical focus areas Production-grade Data Engineering with Python & Scala Deploying and operationalizing

RabbitMQ, Kafka, PostgreSQL, MongoDB, Git, Docker, AWS, Helm, Terraform, Kubernetes, Vault, Datadog, Python

of quantitative research and backtesting environments; Strong software engineering skills in C++ or Python

pipelines and LLM-based systems Evaluation methodologies for ML / IR / GenAI Advanced programming skills in Python

observability tooling (Prometheus, Grafana, ELK, OpenTelemetry, or similar) Linux and scripting skills (Bash, Python

Proficiency in programming languages such as Python, .NET, or equivalent technologies.

.9 Proficient in analyzing data along with writing and optimizing SQL.10 Experience coding in Java, Python