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AI Data Engineer

The Telegraph Media Group is a British newspaper publisher.
Data
Mid-Level Software Engineer
Hybrid
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Job Description

The Telegraph Media Group is seeking an AI Data Engineer to join their Technology department in a full-time, hybrid role based in London, England, United Kingdom. This position offers an exciting opportunity to work with cutting-edge AI and data technologies in a prestigious media organization.

As an AI Data Engineer at The Telegraph, you will be responsible for designing, implementing, and maintaining data pipelines and AI systems that support the company's digital transformation and data-driven decision-making processes. You will work closely with data scientists, analysts, and other engineers to develop scalable solutions for data processing, machine learning, and artificial intelligence applications.

Key responsibilities include:

  1. Developing and optimizing data pipelines for efficient data collection, processing, and storage
  2. Implementing machine learning models and AI algorithms in production environments
  3. Collaborating with cross-functional teams to identify and implement AI-driven solutions for business problems
  4. Ensuring data quality, security, and compliance with relevant regulations
  5. Staying up-to-date with the latest advancements in AI and data engineering technologies

The ideal candidate will have a strong background in data engineering, machine learning, and software development. Experience with cloud platforms, big data technologies, and AI frameworks is highly desirable. The Telegraph values diversity and inclusion, and encourages applications from candidates with a wide variety of skills, perspectives, and backgrounds.

Join The Telegraph and be part of a team that is shaping the future of media through innovative AI and data solutions. This role offers competitive compensation, opportunities for professional growth, and the chance to work on impactful projects in a dynamic and collaborative environment.

Last updated a year ago

Responsibilities For AI Data Engineer

  • Develop and optimize data pipelines
  • Implement machine learning models in production
  • Collaborate with cross-functional teams on AI solutions
  • Ensure data quality and security
  • Stay updated on AI and data engineering advancements

Requirements For AI Data Engineer

Python
Kafka
  • Strong background in data engineering and machine learning
  • Experience with cloud platforms and big data technologies
  • Proficiency in AI frameworks and algorithms
  • Knowledge of data security and compliance regulations
  • Excellent collaboration and communication skills

Benefits For AI Data Engineer

  • Competitive compensation
  • Professional growth opportunities
  • Collaborative work environment
  • Impactful projects in media industry