Freelance ML Engineer – Marketing Automation (Retail)
Do not pass up this chance, apply quickly if your experience and skills match what is in the following description.
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 xphnsxz 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
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