Location: dmg media HQ - High Street Kensington, London, W8
Position: Permanent
About the Role
We are seeking a motivated ML Engineer / Data Engineer to join our Data Engineering team and help evolve our data and machine learning platforms.
In this role, you’ll work at the intersection of machine learning and data engineering — designing and maintaining scalable data pipelines, supporting analysts and stakeholders with reliable datasets, and deploying ML models into production at scale. You’ll play a critical role in ensuring both the data foundations and the ML systems are robust, efficient, and impactful. The ideal candidate is pragmatic, collaborative, and passionate about solving complex problems with data and machine learning.
Main Responsibilities
- Collaborate with data analysts to create ML models from prototype to production
- Design, build, and maintain data pipelines and feature engineering workflows
- Deploy, monitor, and optimize ML models and pipelines in production
- Implement MLOps best practices including CI/CD, experiment tracking, and model monitoring
- Support and evolve the current data warehouse and cloud infrastructure
- Ensure data quality, validation, and governance across systems
- Contribute to building data-driven products that combine analytics and ML capabilities
Skills & Expertise
Required
- Bachelor’s degree (Master’s preferred) in Computer Science, Applied Mathematics, Engineering, or related field
- Professional experience in data engineering, ML engineering, or a related field
- Strong programming skills in Python and SQL
- Experience with Google Cloud Platform and/or Azure Cloud Services (DataFactory, Functions, SSIS)
- Hands-on experience with Databricks (GCP or Azure)
- Experience deploying and maintaining ML models (e.g., MLflow, Vertex AI, Azure ML)
Beneficial
- Experience with Spark and other distributed data processing frameworks
- Exposure to MLOps tooling for orchestration, CI/CD, and monitoring
- Experience with Elasticsearch or similar technologies
- Familiarity with digital/web data sources such as Adobe Analytics, GA, or DFP
- Understanding of data science workflows (feature engineering, experimentation, model evaluation)
Package Description
Our benefits package increases the longer you’ve been with us. Here’s what to expect:
- 25 days’ holiday (increasing by 1 per year up to a total of 30)
- Pension plan and life cover
- Discounts on online shopping, dining cards and vouchers, and access to our Employee Assistance Programme
- Onsite gym, subsidised canteen and onsite nurse and GP clinics
Plus much more...
About Us
dmg media maintains an unwavering commitment to uncovering the stories that matter most. Its brands Daily Mail, The Mail on Sunday, Metro, The i Paper, MailOnline, and Mail+reach more than 9 million people daily in the UK.
Globally, dmg media’s brands reach 160 million unique browsers every month across its domains and apps.*
Its global newsroom of journalists, formidable story-getting power, and breadth of content formats, delivers highly engaging, trusted content to loyal and new audiences, 24 hours a day, seven days a week.
The Mail brand reaches three in five Brits every month and is officially the best-read, most recognised, most engaged newsbrand in the country. It is the largest news publisher on TikTok with over 28 million total followers and nearly 45 billion views** in the past year.
www.dmgmedia.co.uk
*GA Sept 2024 **March 2024 - Feb 2025 inclusive
Our Commitment
We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability.
We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.
