Machine Learning Engineer

Contribute to AI innovations that strengthen the Netherlands

• Apply your ML expertise to projects with direct societal impact

• Become part of the largest AI community in the Netherlands

• Work with AI teams from the most leading Dutch organizations

From predicting emergency care and bed capacity in hospitals to preventing food waste in aviation where thousands of kilos of food are saved annually: AI is changing how the Netherlands works. At KickstartAI, we accelerate the adoption of AI in the Netherlands by working on urgent societal challenges. Our AI projects have a direct impact on health, sustainability, and the quality of life in the Netherlands.

Your unique role in the Dutch AI ecosystem

As a Machine Learning Engineer, you will work independently on solving complex problems and contribute to the adoption of AI in the Netherlands by developing and implementing ML solutions with our partners. You take ownership of your work and know how to creatively adapt and apply ML methods to real-world challenges.

You will work closely with Machine Learning Project Managers and engineers, both within KickstartAI and at our partner companies, to ensure that your technical solutions contribute to sustainable impact. Through your growing expertise, you can mentor junior colleagues and actively contribute to improving best practices within the team.

What you will do as a Machine Learning Engineer

You will be responsible for designing, building, and maintaining scalable machine learning solutions that meet the needs of our partners. This includes the complete lifecycle of ML projects: from data engineering and model development to experimentation, implementation, and monitoring. Additionally, you will focus on implementing MLOps best practices and work on projects with direct societal impact. As part of projects, you will organize or participate in 3-week Challenges: sessions where ideas are quickly transformed into workable AI solutions with engineers from our partner companies – not a casual hackathon, but a structured process with clear impact. By actively sharing knowledge, you contribute to the adoption of AI within our partner companies and the broader AI community. In concrete terms, you will:

• Manage the complete ML lifecycle: from data engineering and model development to experimentation, implementation, and monitoring in production

• Implement MLOps best practices to set up reliable and efficient ML systems

• Work on projects with direct societal impact within sectors such as healthcare, sustainability, and logistics

• Actively share knowledge within the AI community and contribute to the adoption of AI at partner companies
  

What we are looking for

• 2-5 years of experience as a Machine Learning Engineer

• Strong problem-solving skills and the capacity to independently apply ML methods to moderately complex problems

• Experience with MLOps, model implementation, and monitoring of machine learning models in production

• Knowledge of Python, TensorFlow/PyTorch, Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure)

• Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders

• A proactive attitude and the motivation to continuously learn and share knowledge within the community

What you'll get in return

At KickstartAI, you will have a technically challenging role where you will work on AI innovations that strengthen the Netherlands. You will become part of the largest AI community in the Netherlands (7,500+ professionals) and work with the latest technologies. We offer a place where you will work at the highest level on complex AI challenges, learn together, and innovate.

• Competitive salary package with a 15% pension contribution and 8% holiday pay

• 26 vacation days and 26 weeks of paid parental leave

• Hybrid working: 2 days at home, 3 days in the office/at the client

• €1,000 annual training budget and access to TechDays and leading conferences

• 10% of your time for experiments and personal projects

• New MacBook Pro with all premium AI tools

• Modern workplace at Tech hub NEXT Delft

• €50 monthly Alleo budget for activities

• €20 phone allowance and €65 expense reimbursement per month

• €0.23/km travel allowance or a free public transport subscription with NS bike

• 12-month contract with the possibility of a permanent position