Junior Machine Learning Engineer (12 Months Fixed Term Contract)

RAPP Worldwide, Inc; City of London; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A global precision marketing agency is seeking a Junior Machine Learning Engineer for a 12-month fixed-term contract in London. The role involves developing predictive models and engaging in data-driven solutions. Ideal for someone starting their data science career, this position focuses on real projects with mentorship from experienced team members. Successful candidates will have a strong foundation in statistics and programming, particularly Python and SQL, and a growth mindset.

Qualifications

• Strong foundation in statistics, probability, and machine learning fundamentals.
• Fluency in Python and SQL, including experience with libraries like Pandas and Scikit-learn.
• Demonstrated ability to solve real-world problems pragmatically using data.

Responsibilities

• Support the development of predictive models and data-driven solutions.
• Conduct exploratory data analysis and prepare data for modelling.
• Collaborate with other data scientists and analysts to turn insights into business recommendations.

Skills

Strong foundation in statistics

Fluency in Python

Fluency in SQL

Clear communication skills

Growth mindset

Education

STEM degree or equivalent training

Tools

Pandas

Scikit-learn

Job description

Overview

Join to apply for the Junior Machine Learning Engineer (12 Months Fixed Term Contract) role at RAPP.

Employment Type: Fixed Term Contract | Duration: 12 months | Hybrid: 3 days in the office / 2 days remote | Location: London

About the Company

We are RAPP – world leaders in activating growth with precision and empathy at scale. 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. We fight for solutions that adapt to the individual’s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being.

Role

Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? We’re looking for a Junior Machine Learning Engineer on a 12 months fixed term contract with a growth mindset and a solid grasp of data science fundamentals to join our world-class team at RAPP. You’ll 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. You’ll be joining a team led by George Cushen, known for delivering innovative AI solutions at scale across marketing and customer experience.

What You’ll Do

• 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.
• Communicate findings clearly to internal stakeholders – both technical and non-technical.
• Learn quickly and continuously – from new tools and techniques to client domains and business challenges.

Must-Have

• 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.
• Clear, structured communication – especially the ability to explain complex topics simply.
• A growth mindset: curious, driven, humble, and eager to learn from others.
• Business acumen and commercial awareness – able to think critically about the impact of your work.

Nice-to-Have

• Experience working on live projects in a business setting – e.g., internships, grad schemes, or startups.
• Familiarity with cloud tools (AWS, GCP, etc.) or version control (Git).
• Exposure to A/B testing, forecasting, causal AI, or graph AI.
• Experience working with marketing or customer-level datasets.

Why This Role is Different

This is not your average junior role. You won’t be stuck doing just data cleaning or dashboards – you’ll 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.