Machine Learning Engineer

We Love AI Jobs; Greater London; Ibrido; GBP 40.000 - 56.000; Tempo pieno

Vantaggi offerti da questo lavoro

Performance bonus

Equity

Comprehensive benefits package

Descrizione del lavoro

Quantcast is seeking a Machine Learning Engineer to build and maintain real-time ML systems for pricing advertising opportunities in a high-throughput environment. You will work with a team of scientists and engineers to experiment with models and deliver scalable production code.

We value candidates with 0–2 years of ML experience, a strong foundation in mathematics, and proficiency in Python/Java and ML frameworks.

Competenze

• 0–2 years of experience in machine learning or applied statistics.
• Degree in Computer Science, Mathematics, Software Engineering, or adjacent field is preferred.
• Fluency in Python, Java, or similar programming languages.
• Strong foundation in probability, statistics, and hypothesis testing.

Mansioni

• Design, code, test, and debug ML applications serving real-time requests.
• Run ML experiments to evaluate modeling ideas and collaborate on improvements.
• Collaborate with senior scientists to iterate on models and ensure scalable production code.

Conoscenze

Python

Java

PyTorch

Scikit-learn

XGBoost

Pandas

NumPy

Distributed systems

Strumenti

PyTorch

Scikit-learn

XGBoost

Pandas

NumPy

Descrizione del lavoro

# Machine Learning EngineerQuantcastLondon (Hybrid)Full-timeAI tools:PyTorchUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThe Machine Learning Engineer builds and maintains real-time machine learning systems that help Quantcast’s advertising platform evaluate and price advertising opportunities. The role combines experimentation and model development with production engineering, working alongside senior scientists and engineers.* Permanent* Hybrid* 0–2 years### Skills and expertisePythonJavaPyTorchScikit-learnXGBoostPandasNumPyDistributed systems### Key responsibilities* Build and improve machine learning applications serving large volumes of real-time advertising requests.* Run experiments to evaluate new modeling ideas and collaborate on model improvements.* Optimize system performance and maintain clean, scalable production code.## How this job comparesCompared with 37 open junior machine learning jobs on October 10, 2026.Similar open jobs: We Love AI Jobs lists 37 open junior machine learning jobs at 26 companies.Remote work: This job is hybrid. 0 of the 37 junior machine learning jobs (0%) are remote.AI in this role: High. AI is the core of the work: building, training or deploying AI systems. Building and experimenting with machine learning models and production systems is the core of the role. The posting describes models that predict user and advertising characteristics in real-time auctions.## Full descriptionAt Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need in a crowded marketplace. Ready to join the team that's defining the future of digital advertising?The Modeling team is responsible for Machine Learning (ML) systems at Quantcast. We build and maintain high-frequency ML infrastructure that prices millions of advertising opportunities per second in a real-time auction environment to maximise advertiser outcomes. In less than 100 milliseconds, our models predict age, gender, 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 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 data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures, and software engineering.At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. On top of a competitive salary, this position includes a performance bonus, equity, and a comprehensive benefits package. For more details, visit our Careers Page and see how we support our team. We are headquartered in San Francisco with offices around the world. Quantcast is an Equal Opportunity Employer. Please see the Applicant Privacy Notice for details on our applicant privacy policy. Join the team that unlocks potential.