What youll do In a nutshell, own the end-to-end ML lifecycle on Azure and Databricks, working with applied scientists to operate reliable models. Orchestrate and maintain ML pipelines (ingest → feature engineering → train → evaluate
The engine only matters once it runs Since 2018, Enjins has been building high-performance engines: production-grade ML systems, data infrastructure, and agentic AI, engineered by our AI Engineers from architecture to implementation. Real systems that ship, not
Step into a career with ASM, where cutting edge technology meets collaborative culture. For over 55 years ASM has been ahead of what’s next, at the forefront of innovation and what’s technologically possible. With more
At eBay, were more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re
Als Azure data-engineer (DevOps engineer) bij de afdeling Datagedreven Kapitaalmarkten (DAK) ben je verantwoordelijk voor het ontsluiten, structureren en prepareren van data voor toepassing binnen het toezicht op de kapitaalmarkten. In onze Azure-cloudomgeving werk je met grote hoeveelheden
Were looking for a skilled Software Engineer to join our team and help us build a production-ready AI product for TomTom. The work is full-stack, covering everything from new feature development to infrastructure and client-side integration. What
Senior MLops Location: Amsterdam About our Team Data Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and
Engineer (Machine Learning & Cloud Platforms) Location: Amsterdam, NetherlandsStart Date: 01 October 2026Duration: 6 monthsExperience: 8–10 yearsStatus: Open About the Role We are seeking an experienced Machine Learning Engineer with strong expertise across modern cloud platforms and advanced
This position has been reopened. Original posting date: 27-02-2026 Are you excited by the idea of building intelligent systems that can reason, plan, and act autonomously? At ING, you’ll work at the forefront of Agentic AI
Build the production systems that allow AI models to move beyond experimentation and operate reliably at scale. MLOps Engineer - Amsterdam Amsterdam, Netherlands · Permanent · Hybrid What youd actually work on Building and maintaining infrastructure for model
This is what we offer youGross monthly salary between € 5.994 and € 8.563 (scale 10). Thirteenth months salary and 8% holiday allowance 10% Employee Benefit Budget EUR 1,400 development budget per year Hybrid working: balance
AI Talent Lab: Pick Your Lane 6-Month Traineeship | AI House Amsterdam, Zuidas | Full-time, paid | Intake: 1 October 2026 One team. One objective. Three kinds of people. Most traineeships try to hire a unicorn:
While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency,
Requirement ID: 10826901 Job Title: AI Expert (Python) – Azure DevOps CI/CD Location: Amsterdam, Netherlands (Onsite) Contract Duration: 6 Months Start Date: 31 August 2026 Experience Required: 6–8 Years Employment Type: Contract Job Summary We are
We are looking for an experienced Data Scientist to develop advanced analytics for our partial discharge monitoring and predictive maintenance platform. Optics11 is a deep-tech company developing advanced fiber-optic sensing technologies for challenging environments and applications
Who We Are Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data and AI transformation and data marketing to
Who We Are Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We build systems that run in production, in our clients own
As a Solution Architect within Data & AI Services, you define and drive the architecture of enterprise Data & AI products, platforms, and cloud-native solutions that enable NN’s data-driven and AI-powered future. The role also serves
Senior Machine Learning Engineer / Data Scientist | Financiële Sector Focusgebied: Engineering & Advanced Analytics De perfecte combinatie: Impact, Innovatie én Stabiliteit Wil jij werken aan complexe datavraagstukken binnen de financiële sector, met de vrijheid om te
Engineer (Machine Learning & Cloud Platforms) Location: Amsterdam, Netherlands Start Date: 01 October 2026 Duration: 6 months Experience: 8–10 years Status: Open About the Role We are seeking an experienced Machine Learning Engineer with strong expertise across modern