MLOps Engineer - AI/Vision Platform

PostNL; Den Haag; Hybrid; EUR 51,000 - 73,000; Full time

Benefits offered by this job

Hybrid werken

Net home office vergoeding €45/maand

8% vakantieuitkering

25 vakantiedagen (fulltime)

Reiskostenvergoeding

Pensioenregeling

Laptop en smartphone

PostNL Academy

Kortingen op vakanties/events

Job summary

PostNL zoekt een MLOps Engineer voor het Vision Solution Platform in Den Haag. Je verzorgt de hele route van modelontwikkeling naar productie, waarbij je ML-pijplijnen beheert en modelversies en validatie automatiseert.

Beschrijfbaar is jouw bijdrage aan detectie van anomalieën, tellen van rollen en operationele inzichten. Je werkt met ML/AWS engineers en ondersteunt groei van het platform op meerdere locaties in Nederland.

Qualifications

• Minimaal 3 jaar ervaring in MLOps, ML engineering of een vergelijkbare rol.
• Sterke Python- en/of TypeScript-vaardigheden.
• Ervaring met het bouwen en onderhouden van ML-pijplijnen.
• Ervaring met model deployment, registries en versioning.
• Ervaring met CI/CD, Docker en Kubernetes.

Responsibilities

• Beheer en onderhoud van ML-pijplijnen en deployment pipelines.
• Zorg voor betrouwbare productie van computer vision-modellen en schaalbaarheid.
• Werk samen met ML Engineers en AWS Engineers en andere specialisten.
• Maak data- en modeldrift herkenbaar en los issues op in productie.

Skills

Python

TypeScript

ML pipelines

CI/CD

Computer vision

AWS

Education

HBO/WO

Tools

Docker

Kubernetes

CI/CD

Job description

As MLOps Engineer - AI/Vision Platform on our Vision Solution Platform, you own the path from trained model to reliable deploying it in production. You make sure computer vision models run smoothly, scale confidently, and improve continuously across PostNL's logistics network.

• Den Haag/hybride
• 32-37 uur per week
• Junior/medior/senior
• HBO/WO
• IT - software development
• € 4588 - € 6498 per maand

Daarom kies je als MLOps Engineer - AI/Vision Platform voor PostNL

Visible impact: Your work directly improves logistics operations you can see in every street in the Netherlands. Tracking roll containers, detecting anomalies, and turning camera feeds and images into actionable insights.

Real ML challenges: You work with production computer vision models at scale. Think video streams, object detection, model drift, and continuous retraining.

Greenfield opportunity: The platform is growing from a few depots toward all our depots. You help us shape the MLOps foundations from the ground up.

Great team culture: A small, collaborative team that is focused on knowledge sharing, troubleshoots together, and values pragmatic solutions over perfection.

Flexibility: Work from home, from our office in The Hague, or occasionally on-site at logistics locations. The team is always in-office on Tuesdays and sometimes Thursdays.

Growth: Develop yourself via the PostNL Academy and grow alongside a platform that's scaling fast.

Dit is jouw rol

Our Vision Solution Platform turns camera footage and images from logistics locations into reliable operational insights. As an MLOps Engineer, you make sure our computer vision models move smoothly from development to production. You build and maintain ML pipelines, automate model validation, and manage model versioning and deployments. Your work helps improve processes such as counting roll containers, recognising parcel stickers, and detecting operational exceptions. This allows our logistics teams to work smarter and make better decisions every day.

You work closely with ML Engineers, AWS Engineers, and other specialists to keep models reliable, scalable, and easy to maintain. You monitor model performance, detect data and model drift, and help improve the platform as it expands to more locations across the Netherlands. At the same time, you contribute to technical decisions, CI/CD improvements, and the future development of our AI and computer vision platform.

Jouw collega's

You'll join the Vision Solution Platform team, which is a small, growing team of roughly five to six people including a product owner, ML/AWS engineers, and a solution consultant. The team has a strong R&D mentality and operates at the frontier of what's possible within our organization. We solve problems together, with short feedback loops and a shared sense of ownership.

Dit bezorgen we jou

A role full of innovation and work that you can literally see in every street in the Netherlands. At us, we want to become the logistics e-commerce platform of the future. This helps us deliver special moments even smarter, faster, and better. Your mindset and our ambition. Together, we make it happen. In return, you can count on an attractive package of employment benefits.

The top benefits of your role are:

• A salary between €4,092 and €6,499 gross per month based on 37 hours per week. Working 32 hours per week is also possible.
• The freedom to work hybrid and organise your working hours flexibly. If you work from home two or more days per week, you receive a net home office allowance of €45 per month.
• 8% holiday allowance and 25 vacation days when working full-time.
• Travel allowance for commuting, including an NS Business Card or kilometre reimbursement.
• A good pension scheme through the PostNL pension fund.
• An engineering laptop (Mac or Windows) and smartphone.
• Learning and development opportunities through the PostNL Academy.
• Discounts on holidays, events, and products.

Dit breng je mee

You are a hands-on MLOps Engineer who enjoys taking ownership and building structure in an environment that is still evolving. You communicate clearly, work well with different disciplines, and help turn innovative ideas into reliable solutions. Experience with computer vision, AWS, image and video data, or edge deployments helps you get up to speed quickly, but your willingness to learn and improve is just as important. You’ll stay up to date with developments in the field of AI. This will help you identify where new applications or technologies can add value to your work.

You recognise yourself also in the following:

• You have at least 3 years of experience in MLOps, ML Engineering, or a related role.
• You have strong Python and/or TypeScript skills.
• You have experience building and maintaining ML pipelines.
• You have experience with model deployment, model registries, and versioning.
• You have experience with CI/CD, Docker, and Kubernete

Nog wat laatste post ...

• We do a background check on all applicants. As part of the check, we ask that applicants submit a certificate of good conduct. We also check references and possibly conduct a special investigation.
• Because PostNL believes in equal opportunities, candidates take an assessment designed to evaluate their competences and skills relevant to the position.