Senior Machine Learning Engineer

Amsterdam - Netherlands

Monthly Salary: Not Disclosed

Posted on: 16-10-2025

Vacancies: 1 Vacancy

Job Summary

In this role youre the driving force behind developing new technologies into building blocks for the whole company to build their GenAI use cases. Youll use cutting-edge software and tools to ensure that these solutions not only work but are also scalable reliable and always available. Your daily responsibilities include:

Developing and maintaining production-grade GenAI solutions
Define priorities and influence the GenAI Lab roadmap.
Operationalizing and integrating capabilities into business processes IT and data platforms.
Engaging in continuous collaboration with team members domain experts and business stakeholders to refine and implement the most effective solutions.
Mentoring junior team members and maintaining AI Excellence.

Qualifications :

Youre eager to learn and flexible on a technical and personal level. Youre analytically strong and carry a strong sense of responsibility. You enjoy engaging both technical and non-technical colleagues in your work. To be successful in this role you bring:

At least 5 years of experience as an AI/ML Engineer or similar.
Masters degree with a technical component like Computer Science or Software Engineering.
Proven experience building production-grade GenAI applications (RAG Agentic AI etc.).
Proficiency in Python
Experience with Azure and Infrastructure-as-Code
Experience with ML libraries REST APIs microservices (Docker Kubernetes etc.)
Excellent knowledge of software engineering methodologies and best practices including coding standards code reviews version control CI/CD testing and security.

Additional Information :

As an employer we have a lot to offer you. Heres what you get from us:

A gross monthly salary starting from 5038 to a maximum of 7575 depending on your work experience based on a 40-hour workweek.
A guaranteed 13th-month salary: part of it is paid out monthly and part in January of the following year. Or you can allocate it towards a FLEX & BOOST goal of your choice! Click here to learn more.
Annual individual and collective salary increases according to our collective labor agreement (CAO).
1500 per year in a personal development budget that you can use at your discretion for training coaching or courses.
Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave.
A healthy work-life balance with 2 days in the office and 3 days working from home transition leave and the option to swap holidays for ones that align with your religious or cultural preferences.
A home office setup workshop to optimize your remote workspace including a mobile phone and laptop.
50% discount on our products and services so you can enjoy affordable internet calls and streaming.
Excellent travel reimbursement: full coverage for public transport or 0.23 per kilometer if you travel by car. Prefer cycling You can receive 0.40 per kilometer.
The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether its a city bike e-bike racing bike or speed pedelec you get to choose.
Outstanding pension benefits: a total contribution of 23% of your pensionable salary with KPN contributing 16% and you contributing 7%.

Would you like to learn more Feel free to contact our recruiter Caroline van den Beukel at or

At KPN we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.

Remote Work :

Employment Type :

Full-time

Developing and maintaining production-grade GenAI solutions
Define priorities and influence the GenAI Lab roadmap.
Operationalizing and integrating capabilities into business processes IT and data platforms.
Engaging in continuous collaboration with team members domain experts and business stakeholders to refine and implement the most effective solutions.
Mentoring junior team members and maintaining AI Excellence.

Qualifications :

At least 5 years of experience as an AI/ML Engineer or similar.
Masters degree with a technical component like Computer Science or Software Engineering.
Proven experience building production-grade GenAI applications (RAG Agentic AI etc.).
Proficiency in Python
Experience with Azure and Infrastructure-as-Code
Experience with ML libraries REST APIs microservices (Docker Kubernetes etc.)
Excellent knowledge of software engineering methodologies and best practices including coding standards code reviews version control CI/CD testing and security.

Additional Information :

As an employer we have a lot to offer you. Heres what you get from us:

A gross monthly salary starting from 5038 to a maximum of 7575 depending on your work experience based on a 40-hour workweek.
A guaranteed 13th-month salary: part of it is paid out monthly and part in January of the following year. Or you can allocate it towards a FLEX & BOOST goal of your choice! Click here to learn more.
Annual individual and collective salary increases according to our collective labor agreement (CAO).
1500 per year in a personal development budget that you can use at your discretion for training coaching or courses.
Flexible leave days: our employees can (in consultation with their manager) decide how they want to handle their leave.
A healthy work-life balance with 2 days in the office and 3 days working from home transition leave and the option to swap holidays for ones that align with your religious or cultural preferences.
A home office setup workshop to optimize your remote workspace including a mobile phone and laptop.
50% discount on our products and services so you can enjoy affordable internet calls and streaming.
Excellent travel reimbursement: full coverage for public transport or 0.23 per kilometer if you travel by car. Prefer cycling You can receive 0.40 per kilometer.
The option to purchase a lease bike co-funded by KPN (with a permanent contract): whether its a city bike e-bike racing bike or speed pedelec you get to choose.
Outstanding pension benefits: a total contribution of 23% of your pensionable salary with KPN contributing 16% and you contributing 7%.

Would you like to learn more Feel free to contact our recruiter Caroline van den Beukel at or

At KPN we have recruitment talent that collaborates smartly and wins together. Unsolicited acquisition regarding this vacancy is not appreciated.

Remote Work :

Employment Type :

Full-time

Key Skills

Industrial Maintenance
Machining
Mechanical Knowledge
CNC
Precision Measuring Instruments
Schematics
Maintenance
Hydraulics
Plastics Injection Molding
Programmable Logic Controllers
Manufacturing
Troubleshooting

Apply Now

About Company

KPN

Step into the world of KPN, where we work every day to maintain the highest standards of digital security and compliance. As a Technical Compliance Manager, you will join a dynamic team of 15 specialists, divided into the disciplines of Security, Compliance, and Quality Management. T ... View more

View Profile View Profile

AI AutoApply

Apply to 100+ jobs with one click