> Markdown version of [/jobs/ext/3563313-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/3563313-machine-learning-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Machine Learning Engineer

- **Company:** Quantcast
- **Location:** London, UK
- **Experience:** Starter
- **Contract:** Internship / Graduate position
- **Skills:** Clean Code Principles, Java (Programming Language), Code Review, Software Debugging, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Information Technology, Programming Languages
- **Published:** October 3, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/machine-learning-engineer/50135247

## About the Role

best practices. Participate in code reviews and provide constructive feedback to team members. Identify performance bottlenecks and optimise system components for enhanced scalability. Keep up to date with developments in machine learning outside the company. Receive hands-on mentorship from senior scientists and engineers to help bridge academic concepts with industrial scale. Who you are: Experience: 0-2 years of experience (including internships or significant academic projects) in machine learning or applied statistics. Academic Background: A degree in Computer Science, Mathematics, Software Engineering, or an adjacent field. Technical Foundation: Fluency in Python, Java, or similar programming languages. Analytical Rigor: Strong foundation in mathematics, specifically: probability, statistics, hypothesis testing. ML Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs). Data & ML Ecosystem: Familiarity with

## Description

viewability, fraud, advertiser relevance and many more characteristics of internet users. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in their products. As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces. What you'll do: Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second, efficiently. Run Machine Learning experiments to test new modeling ideas. Collaborate with senior scientists and engineers to iterate on ML models and learn industry best practices for high-quality ML products and large-scale systems. Write clean, efficient, and maintainable code using industry