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.
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ml engineer in media employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
