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Machine Learning Engineer (Remote)

Immersum
London
1 month ago
Applications closed

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Machine Learning Engineer

Machine Learning Engineer - London

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Job Title: Data Engineer (AI) Location: London (Hybrid 3 days in office)
Media, Campaign Media, AI/Data
Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake
Were hiring an AI Data Engineer to help build the next generation of intelligent analytics systems. The role combines data engineering, automation, and applied AI giving you the chance to shape how complex datasets are processed, analysed, and turned into insights through large language models (LLMs) and automated pipelines.
This is an excellent opportunity for someone early in their career (12+ years experience) whos ready to step into a role with impact. Youll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation.

Contribute to the design and maintenance of analytics pipelines, ensuring reliability and performance.
Use SQL and Python to build data workflows, automation scripts, and reporting processes.
Support the integration of AI and LLMs into reporting and query-generation systems.
Collaborate across technical and non-technical teams to translate data into clear recommendations.
Learn how to evolve manual workflows into scalable, automated intelligence systems.

Experience in data analytics, data engineering, or campaign analytics.
Strong SQL skills, plus Python (or R) for data processing and automation.
Interest in AI/LLM applications hands-on experience welcome but not essential.
Understanding of digital performance metrics and data connectors (experience with platforms like Google Ads, Meta, or DSPs a bonus).
Direct mentorship from senior engineers on advanced AI and automation projects.
Opportunity to work on high-impact data systems used by major global clients.
Clear career progression as the data team expands.
Hybrid working with 3 days a week in our central London office.
Annual learning budget for technical training, conferences, and AI/ML development.

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