ml engineer in media

Enfint; Greater London; On-site; GBP 74,000 - 92,000; Full time

Job summary

Enfint ищет специалиста по машинному обучению для разработки и развёртывания ML‑моделей в продакшене в рамках контрактной позиции на 6 месяцев.

Кандидат будет работать над сегментацией аудитории, рекомендациями контента и оптимизацией вовлечённости, сотрудничая с командами дата‑инженеров, продукт‑менеджеров и бизнес‑пользователями. Требуется опыт в медиа‑секторе и владение Python/ML‑фреймворками.

Qualifications

• Опыт разработки и развёртывания ML‑решений в продакшене.
• Продвинутый Python; TensorFlow, PyTorch или Scikit‑learn.
• Опыт работы с облачными платформами AWS/Azure/GCP.
• Знание MLOps, CI/CD и жизненного цикла ML.
• Работа с крупными наборами данных аудитории/контента.
• Навыки взаимодействия со стейкхолдерами.
• Опыт в медиа/публикациях/стриминге или цифровом контенте обязателен.

Responsibilities

• Design, develop, and deploy machine learning models into production environments.
• Build AI solutions for audience segmentation, content recommendation, and engagement optimisation.
• Develop scalable data and machine learning pipelines for high-volume media datasets.
• Collaborate with data scientists, data engineers, product teams, and business stakeholders to deliver AI-driven products.
• Implement MLOps best practices, including model monitoring, testing, and deployment automation.
• Evaluate and apply emerging AI technologies, including generative AI and large language models, where they provide business value.

Skills

Machine Learning в продакшн

Python

TensorFlow / PyTorch / Scikit-learn

Cloud platforms

MLOps / CI/CD

Large datasets

Stakeholder engagement

Media sector experience

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Описание

The company is a well-established media business with a strong digital presence and a growing focus on data and AI innovation. Its teams use advanced analytics and machine learning to understand audiences, improve content performance, and support commercial growth.

Задачи

• Design, develop, and deploy machine learning models into production environments;
• Build AI solutions for audience segmentation, content recommendation, and engagement optimisation;
• Develop scalable data and machine learning pipelines for high-volume media datasets;
• Collaborate with data scientists, data engineers, product teams, and business stakeholders to deliver AI-driven products;
• Implement MLOps best practices, including model monitoring, testing, and deployment automation;
• Evaluate and apply emerging AI technologies, including generative AI and large language models, where they provide business value.

Требования

• Strong experience building and deploying machine learning solutions in production environments;
• Advanced Python skills and experience with TensorFlow, PyTorch, or Scikit-learn;
• Experience with cloud technologies such as AWS, Azure, or GCP;
• Strong understanding of MLOps, CI/CD, and machine learning lifecycle management;
• Experience working with large-scale customer, audience, content, advertising, or behavioural datasets;
• Strong stakeholder engagement skills and the ability to translate business requirements into technical solutions;
• Previous experience in the media, publishing, broadcasting, streaming, or digital content sectors is essential.

Условия

Contract role for 6 months; Outside IR35; £400 - £500 Per Day.