Machine Learning Engineer - Hybrid Remote

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Employment Type: Fixed Term Contract
Hybrid: 3 days in the office / 2 days remote
As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Were looking for a Junior Machine Learning Engineer on a 6 months fixed term contract with a growth mindset and a solid grasp of data science fundamentals to join our world-class team at RAPP. Youll support senior team members in delivering machine learning and advanced analytics solutions for global brands like Ralph Lauren, KFC, and Mercedes. This role is perfect for someone at the start of their career who is passionate about applying their skills to commercial challenges and growing rapidly in a fast-paced, collaborative environment. Youll be joining a team led by George Cushen ( ), known for delivering innovative AI solutions at scale across marketing and customer experience.
Support the development of predictive models and data-driven solutions that solve real marketing and customer problems.
Conduct exploratory data analysis, feature engineering, and data cleaning to prepare data for modelling.
Write clean, well-documented Python and SQL code to support analysis and model development.
Collaborate with other data scientists and analysts to turn insights into business recommendations.
A strong foundation in statistics, probability, and machine learning fundamentals either through a STEM degree, formal training, or self-study.
Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent.
Demonstrated ability to solve real-world problems pragmatically using data.
Business acumen and commercial awareness able to think critically about the impact of your work.
Experience working on live projects in a business setting e.g., internships, grad schemes, or startups.
Familiarity with cloud tools (AWS, GCP, etc.) Exposure to A/B testing, forecasting, causal AI, or graph AI.
You wont be stuck doing just data cleaning or dashboards youll work on real projects, build models, contribute ideas, and grow under the mentorship of a senior, highly experienced team. This is the perfect launchpad for someone who wants to accelerate their career in data science within a global creative agency Seniority level
~ Employment type Full-time

Job function Engineering and Information Technology
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Location:
London
Job Type:
FullTime

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