Machine Learning Engineer

Freelance ML Engineer – Marketing Automation (Retail)

Limburg ( 1 or 2 days a week on-site) | Contract / Freelance

About the Role

We’re supporting an innovative retail client on a mission to transform their marketing through advanced AI and data-driven decision-making. They’re looking for a Freelance AI Engineer to design and deliver intelligent marketing solutions that enhance customer engagement, personalisation, and overall experience.

This is a hands-on, project-driven role where you’ll apply machine learning and analytics to solve real commercial challenges—helping the business better understand and connect with its customers.

What You’ll Be Doing

• Develop and implement AI-driven marketing automation systems across key channels
• Build customer segmentation models to improve targeting and campaign effectiveness
• Design and optimise recommendation engines for personalised product experiences
• Analyse customer and campaign data to generate actionable insights and improve ROI
• Support the development of customer experience strategies through data and modelling
• Work closely with marketing and data teams to align AI solutions with business goals
• Continuously monitor and refine model performance in a retail environment

What We’re Looking For

• Proven experience as an AI / Machine Learning Engineer or Data Scientist in a commercial setting
• Strong coding skills in Python and experience with ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn)
• Experience working with marketing data, customer analytics, or personalisation platforms
• Solid understanding of segmentation techniques, recommendation systems, and predictive modelling
• Experience working with large datasets and deploying scalable solutions
• Ability to translate complex analytical outputs into clear business insights

Nice to Have

• Experience within retail or e-commerce
• Familiarity with A/B testing and experimentation frameworks
• Experience with cloud platforms (AWS, Azure, GCP)
• Knowledge of real-time or streaming data applications

Apply here or feel free to reach out for more information!