Reads like a ML Engineer role: putting models into production.
Brussels-Capital, Belgium
Open 6 months, first seen by us 204 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
A recent graduate or professional with 1 to 3 years of experience, with hands-on experience working with LLMs and a passion for generative AI and NLP
Design, train, and fine-tune models for client projects and internal tools
Develop agentic AI solutions using tool calling and Model Context Protocol (MCP)
Design evaluation frameworks and quality metrics for LLM performance
Optimize performance, scalability, and usability of LLM-powered products
Contribute to deploying and maintaining AI systems, models, and APIs
Collaborate with the team to design, train, and fine-tune state-of-the-art models for client projects and internal tools.
Develop and integrate agentic AI solutions using tool calling, and emerging protocols like Model Context Protocol (MCP)
Design and implement comprehensive evaluation frameworks to measure LLM performance, establishing quality metrics and benchmarks
Optimize the performance, scalability, and usability of LLM-powered products and tools.
Contribute to the deployment and maintenance of AI systems, including models, APIs, and supporting infrastructure.
Experience working with LLMs, generative AI, or advanced NLP applications (e.g., fine-tuning models, using frameworks like Hugging Face or OpenAI).
Good communication skills in English, Dutch or French; additional languages are a plus.
With a global presence, we help clients across industries—public health, manufacturing, etc.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 204 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 204
Up longer than most. Similar jobs usually come down between day 6 and day 70.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 4,448 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience working with LLMs, generative AI, or advanced NLP applications (e.g., fine-tuning models, using frameworks like Hugging Face or OpenAI). - Strong programming skills in Python and familiarity with AI and NLP libraries. - Analytical and problem-solving capabilities, with an ability to address real-world challenges through AI.
- A degree in computer science, mathematics, engineering, physics, or a related field. - Experience working with LLMs, generative AI, or advanced NLP applications (e.g., fine-tuning models, using frameworks like Hugging Face or OpenAI). - Strong programming skills in Python and familiarity with AI and NLP libraries.
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New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Join Artefact Belgium: Shape the Future of Generative AI and Large Language Models (LLMs)
Are you an early-career professional excited to harness the power of generative AI and Large Language Models (LLMs)? Artefact Belgium is seeking a Data Scientist - Gen AI to join our innovative team in Brussels. Our Belgian team specializes in LLM and GenAI projects, and this is your chance to work on cutting-edge solutions, collaborate with top-tier experts, and contribute to impactful projects in a dynamic, forward-thinking environment.
A recent graduate or professional with 1 to 3 years of experience, with hands-on experience working with LLMs and a passion for generative AI and NLP. Motivated to apply your technical expertise to real-world challenges in AI. Able to thrive in collaborative settings while independently driving your own workstreams. Eager to learn, grow, and push the boundaries of what's possible in AI innovation.
Artefact is a leading Data & AI consulting firm operating at the forefront of AI innovation. With a global presence, we help clients across industries—public health, manufacturing, etc. —leverage generative AI to achieve transformative outcomes. Our team in Belgium is specialized in LLM and GenAI projects, working on the most advanced applications of these technologies. At Artefact, we foster a culture of innovation, collaboration, and continuous learning, with a strong commitment to inclusivity and employee growth.
This position is based in Brussels.
Don't worry if you don't meet every criterion! We value passion, potential, and a commitment to innovation. If you're excited about generative AI and ready to grow your career, we'd love to hear from you!
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Brussels-Capital, Belgium
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