Job Title: ML Engineer(AI)
Location: London (Hybrid – 3 days in office)
Industry: Media, Campaign Media, AI/Data
Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake
Salary: £60-70k
*Unfortunately, Visa sponsorship is not on offer for this position.
About the Role
We’re 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 (1–2+ years’ experience) who’s ready to step into a role with impact. You’ll work closely with experienced engineers and gain hands-on exposure to advanced tools, scalable data systems, and AI-powered reporting automation.
What you’ll do
- 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.
- Develop dashboards and automated insights for business stakeholders.
- Collaborate across technical and non-technical teams to translate data into clear recommendations.
- Learn how to evolve manual workflows into scalable, automated intelligence systems.
What we’re looking for
- 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).
- Familiarity with large datasets (e.g. BigQuery, Snowflake, or other cloud platforms).
- Strong communication skills and a problem-solving mindset.
What’s on offer
- Salary in the region of £60–70K plus equity participation.
- 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.
