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Location
Hybrid (Amsterdam, Netherlands)
Seniority
Junior
Employment
Full-Time

First seen by Alion on Nov 11, 2026.

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Company
Impact
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ML6

ML6 is a Belgian artificial intelligence company founded in 2016 and headquartered in Ghent. It builds machine learning and generative AI systems for industry, healthcare and the public sector. The company is a leading Google Cloud machine learning partner in Europe.

Ready to launch your career at Europe's AI Engineering Powerhouse? 🚀

Junior AI Engineer

TL;DR

  • Role Focus: Cutting-edge Agentic AI, Generative AI (agents, RAG, MCP), and end-to-end ML/software engineering
  • Location: Belgium / The Netherlands (hybrid - eligible to work without visa sponsorship)
  • Languages: Fluency in English is required. Dutch or French is a significant plus.
  • Unit: Advisory & Delivery
  • Employment type: Full-time

The role of an AI Engineer is constantly evolving. While our work still involves building and deploying traditional ML models and MLOps pipelines, a significant part of our projects now focuses on the rapidly advancing field of Generative AI and includes software and data engineering. We are looking for recent graduates or candidates with a first working experience to join one of our domains, with a primary focus on cutting-edge Agentic AI projects.

YOUR IMPACT

  • Build innovative AI systems that solve real-world business challenges. This includes working with traditional ML frameworks like HuggingFace and PyTorch, as well as innovative Generative AI models and frameworks (agents, RAG, MCP, …).
  • Design and implement end-to-end solutions, from data and software engineering tasks to sophisticated AI components.
  • Engineer agentic systems and complex workflows using advanced prompt engineering techniques.
  • Deploy production-ready applications on all major cloud providers (GCP, AWS, Azure) to generate business value for our clients.
  • Collaborate with Data and Software Engineers, Project Managers, and clients to deliver impactful solutions.

WHY YOU

Minimum requirements:

  • Foundation: A degree in Computer Science, Engineering or a related field.
  • Experience: 0-2 years of relevant professional experience.
  • Technical Skills: Experience with Python and a solid understanding of software engineering principles, Machine Learning and version control (Git).
  • Communication: Excellent verbal and written communication skills in English. Dutch or French is a significant bonus. You can confidently explain complex technical ideas to both technical and non-technical audiences.
  • A consultative mindset and strong sense of ownership and initiative. You are a curious, proactive problem-solver who is always looking for new knowledge to improve your work.

Nice to have:

  • Contribution to open-source projects
  • Experience with Google Cloud, AWS or Azure
  • Experience with data engineering

WHY ML6

At ML6, our 'people first' culture is how we bring innovation to life. We've built a place where we truly love working, and we think you will too. Here’s what you can expect:

  • Impactful Work: Join a team dedicated to delivering real-world value and positive change through technology.
  • Growth & Learning: We invest in your development with opportunities to work on diverse, challenging projects and dedicated learning tracks and opportunities.
  • A Culture of Trust: Thrive in an environment built on trust and transparent communication, where every voice is heard and valued.
  • Rewarding You: We offer an attractive salary package and an optimized benefits program that reflects your expertise and impact.

Please Note: Candidates must have a valid work permit and be eligible to work in Belgium or The Netherlands as we are unable to provide visa sponsorship at this time.

What to expect when joining ML6?

Don’t expect a big corporate organisation with pre-defined jobroles and a defined plan for the coming years. Expect the unexpected. Growth, change and impact. Learn from engaged experts with a like minded passion for technology. Expect to work for the most innovative and biggest companies across countries.

What are examples of projects that ML6 worked on?

At ML6, we boost and increase revenue growth for other companies, by implementing AI solutions. We do this for a broad range of industries. From manufacturing, to healthcare or media and entertainment industries (and lots more!).

What about the ethical aspect of AI?

At ML6 we take our responsibility to build secure, reliable and sustainable technology seriously and integrate ethics within our way of working. We have our own Ethical Advisory board to discuss sensitive projects.

What does a typical AI project look like?

This really depends on the scope of the project. A project can run for a couple of months, to even years. Our ML6ies work on projects together with a team of colleagues. This team can have different skills like data engineering, software, machine learning and project management to deliver top notch service to our clients. They sometimes work on different projects simultaneously or combine project work with an internal project or research topic. We are not an outsourcing firm.

Can I also work on a product?

At ML6 you can even work on multiple products! Sometimes we build products and platforms for customers (and/or internally) as well. The good thing about ML6: you can choose to work for a longer amount of time on the same project or product, or if you’d like more variation, choose to rotate more towards different projects or products. Our core today still focuses on selling solutions, but we’re also maturing on the product side. In short: variation in your role will be differentiating.

How technically in depth can I go at ML6?

Our company stands for our engineering expertise. You’ll work alongside the most brilliant engineers, with a very in depth technical focus. Some use cases don’t need a very technical in depth solution, some do. At ML6 you can work in different domains (from GenAI to more classic ML), and on different types of client problems. We always make sure that our seniors are linked to more complex problems and to their domain of expertise (ex specific Cloud or Industry).

ML6 deliberately follows a hybrid setup. We have a strong collaborative culture where we’d like to meet up at least a couple of times a week in one of our offices. ML6 provides a lot of flexibility in terms of working hours and how you schedule your agenda.

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